Eric Andrew Wernert
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- David Hart (2)
- Hui Zhang (2)
- Jagannathan Lakshmipathy (2)
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Proceedings/Book Names
- PEARC '17: Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact (2)
- PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity (2)
- PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good (2)
- XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment (2)
- A constrained navigation framework for individual and collaborative exploration of 3d environments (1)
- Dagstuhl '97, Scientific Visualization (1)
- DAGSTUHL '97: Proceedings of the Conference on Scientific Visualization (1)
- PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You (1)
- SAC '05: Proceedings of the 2005 ACM symposium on Applied computing (1)
- SC '01: Proceedings of the 2001 ACM/IEEE conference on Supercomputing (1)
- SCREAM '15: Proceedings of the 1st Workshop on The Science of Cyberinfrastructure: Research, Experience, Applications and Models (1)
- SIGUCCS '03: Proceedings of the 31st annual ACM SIGUCCS fall conference (1)
- TAPIA '05: Proceedings of the 2005 conference on Diversity in computing (1)
- VIS '97: Proceedings of the 8th conference on Visualization '97 (1)
- VIS '98: Proceedings of the conference on Visualization '98 (1)
- VIS '99: Proceedings of the conference on Visualization '99: celebrating ten years (1)
- VISUALIZATION '99: Proceedings of the 10th IEEE Visualization 1999 Conference (VIS '99) (1)
- VR '00: Proceedings of the IEEE Virtual Reality 2000 Conference (1)
- VRCAI '04: Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry (1)
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- short-paper
Published By ACM
Published By ACM
Visualizing the Causes and Impacts of Climate Change with XR Technologies
Scott Birch
University Information Technology Services, Indiana University, USA
,Eric A. Wernert
University Information Technology Services, Indiana University, USA
,Keith Danielson
University Information Technology Services, Indiana University, USA
,Gabriel Filippelli
Environmental Resilience Institute, Indiana University, USA
,Jonathan Hines
Environmental Resilience Institute, Indiana University, USA
PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good•July 2023, pp 395-399• https://doi.org/10.1145/3569951.3603630This paper describes a specific project and generalizable workflow for supplementing informational outreach tools with effective and sustainable eXtended Reality (XR) experiences. The goal is to enhance the communicative power and impact of the ...
- 0Citation
- 104
- Downloads
MetricsTotal Citations0Total Downloads104Last 12 Months57Last 6 weeks4
- short-paper
Published By ACM
Published By ACM
Scholarly Data Share 2.0: Granular Access to Research Data
Katie Chapman
University Information Technology Services, Research Technologies, Indiana University, USA
,Guangchen Ruan
University Information Technology Services, Research Technologies, Indiana University, USA
,Esen Tuna
University Information Technology Services, Research Technologies, Indiana University, USA
,Alan Walsh
University Information Technology Services, Research Technologies, Indiana University, USA
,Eric A. Wernert
University Information Technology Services, Research Technologies, Indiana University, USA
PEARC '23: Practice and Experience in Advanced Research Computing 2023: Computing for the Common Good•July 2023, pp 177-180• https://doi.org/10.1145/3569951.3597585The Scholarly Data Share (SDS) is a lightweight web interface that facilitates access to large, curated research datasets in long-term storage. The first version, SDS 1.0, facilitated sharing public datasets without access restrictions. The new version, ...
- 2Citation
- 66
- Downloads
MetricsTotal Citations2Total Downloads66Last 12 Months31Last 6 weeks1
- research-article
Published By ACM
Published By ACM
Scholarly Data Share: A Model for Sharing Big Data in Academic Research
Katie Chapman
Research Technologies, Indiana University, USA
,Guangchen Ruan
Research Technologies, Indiana University, USA
,Esen Tuna
Research Technologies, Indiana University, USA
,Alan Walsh
Research Technologies, Indiana University, USA
,Eric Wernert
Research Technologies, Indiana University, USA
PEARC '22: Practice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You•July 2022, Article No.: 2, pp 1-8• https://doi.org/10.1145/3491418.3530297The Scholarly Data Share (SDS) is a lightweight web interface that facilitates access to large, curated research datasets stored in a tape archive. SDS addresses the common needs of research teams working with and managing large and complex datasets, ...
- 1Citation
- 226
- Downloads
MetricsTotal Citations1Total Downloads226Last 12 Months34Last 6 weeks2
- research-article
Published By ACM
Published By ACM
A Computational Notebook Approach to Large-scale Text Analysis: Balancing Accessibility with Scalability
Guangchen Ruan
Pervasive Technology Institute, Indiana University
,Tassie Gniady
Pervasive Technology Institute, Indiana University
,David Kloster
Pervasive Technology Institute, Indiana University
,Eric Wernert
Pervasive Technology Institute, Indiana University
,Esen Tuna
Pervasive Technology Institute, Indiana University
PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity•July 2018, Article No.: 35, pp 1-8• https://doi.org/10.1145/3219104.3219153Large-scale text analysis algorithms are important to many fields as they interrogate reams of textual data to extract evidence, correlations, and trends not readily discoverable by a human reader. Unfortunately, there is often an expertise mismatch ...
- 0Citation
- 85
- Downloads
MetricsTotal Citations0Total Downloads85Last 12 Months6
- research-article
Published By ACM
Published By ACM
High Performance Photogrammetry for Academic Research
Guangchen Ruan
Pervasive Technology Institute, Indiana University
,Eric Wernert
Pervasive Technology Institute, Indiana University
,Tassie Gniady
Pervasive Technology Institute, Indiana University
,Esen Tuna
Pervasive Technology Institute, Indiana University
,William Sherman
Pervasive Technology Institute, Indiana University
PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity•July 2018, Article No.: 45, pp 1-8• https://doi.org/10.1145/3219104.3219148Photogrammetry is the process of computationally extracting a three-dimensional surface model from a set of two-dimensional photographs of an object or environment. It is used to build models of everything from terrains to statues to ancient artifacts. ...
- 4Citation
- 288
- Downloads
MetricsTotal Citations4Total Downloads288Last 12 Months43
- poster
Published By ACM
Published By ACM
Scalable Photogrammetry with High Performance Computing
Tassie Gniady
Research Technologies, Indiana University, Bloomington, Indiana
,Guangchen Ruan
Research Technologies, Indiana University, Bloomington, Indiana
,William Sherman
Research Technologies, Indiana University, Bloomington, Indiana
,Esen Tuna
Research Technologies, Indiana University, Bloomington, Indiana
,Eric Wernert
Research Technologies, Indiana University, Bloomington, Indiana
PEARC '17: Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact•July 2017, Article No.: 72, pp 1-3• https://doi.org/10.1145/3093338.3104174Photogrammetry is used to build 3-dimensional models of everything from terrains to ancient statues. In the past, the stitching process was done on powerful PCs and could take weeks for large datasets. Even relatively small objects often required several ...
- 2Citation
- 235
- Downloads
MetricsTotal Citations2Total Downloads235Last 12 Months7
- research-article
Published By ACM
Published By ACM
Stampede 2: The Evolution of an XSEDE Supercomputer
Dan Stanzione
Texas Advanced Computing Center, The University of Texas at Austin
,Bill Barth
Texas Advanced Computing Center, The University of Texas at Austin
,Niall Gaffney
Texas Advanced Computing Center, The University of Texas at Austin
,Kelly Gaither
Texas Advanced Computing Center, The University of Texas at Austin
,Chris Hempel
Texas Advanced Computing Center, The University of Texas at Austin
,Tommy Minyard
Texas Advanced Computing Center, The University of Texas at Austin
,S. Mehringer
Cornell University
,Eric Wernert
The University of Indiana
,H. Tufo
The University of Colorado
,D. Panda
The Ohio State University
,P. Teller
The University of Texas at El Paso
PEARC '17: Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact•July 2017, Article No.: 15, pp 1-8• https://doi.org/10.1145/3093338.3093385The Stampede 1 supercomputer was a tremendous success as an XSEDE resource, providing more than eight million successful computational simulations and data analysis jobs to more than ten thousand users. In addition, Stampede 1 introduced new technology ...
- 47Citation
- 271
- Downloads
MetricsTotal Citations47Total Downloads271Last 12 Months9Last 6 weeks1
- research-articleOpen Access
Published By ACM
Published By ACM
Sustained Software for Cyberinfrastructure: Analyses of Successful Efforts with a Focus on NSF-funded Software
Craig A. Stewart
Indiana University, Bloomington, IN, USA
,William K. Barnett
Indiana University, Bloomington, IN, USA
,Eric A. Wernert
Indiana University, Bloomington, IN, USA
,Julie A. Wernert
Indiana University, Bloomington, IN, USA
,Von Welch
Indiana University Pervasive Technology Institute, Bloomington, IN, USA
,Richard Knepper
Indiana University, Bloomington, IN, USA
SCREAM '15: Proceedings of the 1st Workshop on The Science of Cyberinfrastructure: Research, Experience, Applications and Models•June 2015, pp 63-72• https://doi.org/10.1145/2753524.2753533Reliable software that provides needed functionality is clearly essential for an effective distributed cyberinfrastructure (CI) that supports comprehensive, balanced, and flexible distributed CI. Effective distributed cyberinfrastructure, in turn, ...
- 3Citation
- 358
- Downloads
MetricsTotal Citations3Total Downloads358Last 12 Months64Last 6 weeks12
- research-article
Published By ACM
Published By ACM
TextRWeb: Large-Scale Text Analytics with R on the Web
Guangchen Ruan
Data to Insight Center, School of Informatics and Computing, Indiana University
,Hui Zhang
Visualization and Analytics, Pervasive Technology Institute, Indiana University
,Eric Wernert
Visualization and Analytics, Pervasive Technology Institute, Indiana University
,Beth Plale
Data to Insight Center, School of Informatics and Computing, Indiana University
XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment•July 2014, Article No.: 63, pp 1-8• https://doi.org/10.1145/2616498.2616557As digital data sources grow in number and size, they pose an opportunity for computational investigation by means of text mining, NLP, and other text analysis techniques. R is a popular and powerful text analytics tool; however, it needs to run in ...
- 3Citation
- 215
- Downloads
MetricsTotal Citations3Total Downloads215Last 12 Months3
- research-article
Published By ACM
Published By ACM
Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data
Jingwen Yan
School of Informatics and Computing, Indiana University
,Hui Zhang
Pervasive Technology Institute, Indiana University
,Lei Du
Department of Radiology and Imaging Sciences, Indiana University
,Eric Wernert
Pervasive Technology Institute, Indiana University
,Andrew J. Saykin
Department of Radiology and Imaging Sciences, Indiana University
,Li Shen
Department of Radiology and Imaging Sciences, Indiana University
XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment•July 2014, Article No.: 4, pp 1-7• https://doi.org/10.1145/2616498.2616515Recent advances in acquiring high throughput neuroimaging and genomics data provide exciting new opportunities to study the influence of genetic variation on brain structure and function. Research in this emergent field, known as imaging genetics, aims ...
- 0Citation
- 148
- Downloads
MetricsTotal Citations0Total Downloads148Last 12 Months3
- Article
Published By ACM
Published By ACM
The john-e-box: fostering innovation, inclusion, and collaboration through accessible advanced visualization
Eric Wernert
Indiana University, Bloomington, IN
,Mike Boyles
Indiana University -- Purdue University Indianapolis, IN
,John N. Huffman
Indiana University, Bloomington, IN
,Jeff Rogers
Indiana University -- Purdue University Indianapolis, IN
,John C. Huffman
Indiana University, Bloomington, IN
,Craig Stewart
Indiana University, Bloomington, IN
TAPIA '05: Proceedings of the 2005 conference on Diversity in computing•October 2005, pp 64-67• https://doi.org/10.1145/1095242.1095269Recent advances in commodity graphics and projection hardware have motivated many notable research projects and community discussions about the potential of these technologies to make advanced visualization more broadly accessible. However, the actual ...
- 1Citation
- 154
- Downloads
MetricsTotal Citations1Total Downloads154Last 12 Months3
- Article
Published By ACM
Published By ACM
PViN: a scalable and flexible system for visualizing pedigree databases
Eric A. Wernert
Indiana University Bloomington, IN
,Jagannathan Lakshmipathy
Purdue University Indianapolis, Indianapolis, IN
SAC '05: Proceedings of the 2005 ACM symposium on Applied computing•March 2005, pp 115-122• https://doi.org/10.1145/1066677.1066709We describe the design and implementation of PViN (Pedigree Visualization and Navigation), a scalable and flexible software system that enables the visualization, analysis, and printing of hierarchical relations typically stored in relational databases. ...
- 6Citation
- 416
- Downloads
MetricsTotal Citations6Total Downloads416Last 12 Months8Last 6 weeks1
- Article
Published By ACM
Published By ACM
A novel approach to extract triangle strips for iso-surfaces in volumes
Jagannathan Lakshmipathy
Indiana University
,Wieslaw L. Nowinski
Institute for Infocomm Research, Singapore
,Eric A. Wernert
Indiana University
VRCAI '04: Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry•June 2004, pp 239-245• https://doi.org/10.1145/1044588.1044639The Marching Cubes (MC) algorithm is a popular approach to extract iso-surfaces from volumetric data. This approach extracts triangles from the volume data for a specific iso-value using a table lookup approach. The lookup entry in the MC is a name ...
- 3Citation
- 324
- Downloads
MetricsTotal Citations3Total Downloads324Last 12 Months4
- Article
Published By ACM
Published By ACM
Advanced information technology support for life sciences research
Craig A. Stewart
Indiana University, Bloomington, IN
,David Hart
Indiana University, Bloomington, IN
,Anurag Shankar
Indiana University, Bloomington, IN
,Eric Wernert
Indiana University, Bloomington, IN
,Richard Repasky
Indiana University, Bloomington, IN
,Mary Papakhian
Indiana University, Bloomington, IN
,Andrew D. Arenson
Indiana University - Purdue University Indianapolis, Indianapolis, IN
,Gerry Bernbom
Indiana University, Bloomington, IN
SIGUCCS '03: Proceedings of the 31st annual ACM SIGUCCS fall conference•September 2003, pp 7-9• https://doi.org/10.1145/947469.947472The revolution in life sciences research brought about by the sequencing of the human genome creates new challenges for scientists and new opportunities for computing support organizations. This may involve significant shifts in computing support ...
- 3Citation
- 329
- Downloads
MetricsTotal Citations3Total Downloads329Last 12 Months1
- Article
Published By ACM
Published By ACM
Parallel implementation and performance of fastDNAml: a program for maximum likelihood phylogenetic inference
Craig A. Stewart
University Information Technology Services, Indiana University, Bloomington IN
,David Hart
University Information Technology Services, Indiana University, Bloomington IN
,Donald K. Berry
University Information Technology Services, Indiana University, Bloomington IN
,Gary J. Olsen
University of Illinois Urbana/Champaign, Urbana, IL
,Eric A. Wernert
University Information Technology Services, Indiana University, Bloomington IN
,William Fischer
Indiana University, Bloomington IN
SC '01: Proceedings of the 2001 ACM/IEEE conference on Supercomputing•November 2001, pp 20-20• https://doi.org/10.1145/582034.582054This paper describes the parallel implementation of fastDNAml, a program for the maximum likelihood inference of phylogenetic trees from DNA sequence data. Mathematical means of inferring phylogenetic trees have been made possible by the wealth of DNA ...
- 63Citation
- 472
- Downloads
MetricsTotal Citations63Total Downloads472Last 12 Months9Last 6 weeks1
- Article
Tethering and Reattachment in Collaborative Virtual Environments
We explore a family of specific dynamical methods that support the contrasting goals of presence and independence in collaborative virtual environments. We pose for ourselves the basic tasks of "tethering" -- keeping a collaborator close to a group or ...
- 0Citation
MetricsTotal Citations0
- Doctoral Theses
A constrained navigation framework for individual and collaborative exploration of 3d environments
Navigation in virtual environments is the combination of the cognitive and motor processes required to control the movement and orientation of a virtual camera through a three-dimensional scene. Navigation is the most fundamental interaction technique ...
- 0Citation
MetricsTotal Citations0
- Article
A Framework for Assisted Exploration with Collaboration
VISUALIZATION '99: Proceedings of the 10th IEEE Visualization 1999 Conference (VIS '99)•October 1999We approach the problem of exploring a virtual space by exploitingpositional and camera-model constraints on navigation to provideextra assistance that focuses the user's explorational wanderingson the task objectives. Our specific design incorporates ...
- 0Citation
MetricsTotal Citations0
- Articlefree
A framework for assisted exploration with collaboration
Eric A. Wernert
Computer Science Department, Indiana University, Bloomington, IN
,Andrew J. Hanson
Computer Science Department, Indiana University, Bloomington, IN
VIS '99: Proceedings of the conference on Visualization '99: celebrating ten years•October 1999, pp 241-248We approach the problem of exploring a virtual space by exploiting positional and camera-model constraints on navigation to provide extra assistance that focuses the user's explorational wanderings on the task objectives. Our specific design ...
- 16Citation
- 319
- Downloads
MetricsTotal Citations16Total Downloads319Last 12 Months53Last 6 weeks12
- Articlefree
Image-based rendering with occlusions via cubist images
Andrew J. Hanson
Indiana Univ., Bloomington, IN
,Eric A. Wernert
Indiana Univ., Bloomington, IN
- 5Citation
- 327
- Downloads
MetricsTotal Citations5Total Downloads327Last 12 Months26Last 6 weeks10
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner