Applied Filters
- Andrew V Goldberg
- AuthorRemove filter
People
Colleagues
- Renato Fonseca F Werneck (20)
- Robert Endre Tarjan (16)
- Serge A Plotkin (15)
- Daniel Delling (13)
- Boris V Cherkassky (9)
- Ittai Abraham (9)
- Jason D. Hartline (8)
- Amos Fiat (6)
- David Bernard Shmoys (5)
- Alexander V Karzanov (4)
- Haim Kaplan (4)
- É Tardos (3)
- E Tardos (3)
- Loukas Georgiadis (3)
- Maxim A Babenko (3)
- Pravin Moreshwar Vaidya (3)
- Robert S Kennedy (3)
- Satish B Rao (3)
- Viswanath Nagarajan (2)
Roles
Publication
Journal/Magazine Names
- Information Processing Letters (4)
- Journal of the ACM (4)
- SIAM Journal on Computing (4)
- ACM Journal of Experimental Algorithmics (3)
- Journal of Algorithms (3)
- Mathematical Programming: Series A and B (3)
- SIAM Journal on Discrete Mathematics (3)
- ACM SIGACT News (1)
- ACM Transactions on Algorithms (1)
- Communications of the ACM (1)
- IEEE Transactions on Computers (1)
- Mathematics of Operations Research (1)
- Theory of Computing Systems (1)
Proceedings/Book Names
- SODA '94: Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms (3)
- ESA '01: Proceedings of the 9th Annual European Symposium on Algorithms (2)
- SEA'11: Proceedings of the 10th international conference on Experimental algorithms (2)
- SFCS '88: Proceedings of the 29th Annual Symposium on Foundations of Computer Science (2)
- SODA '05: Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms (2)
- SODA '97: Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms (2)
- SODA '99: Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms (2)
- STOC '87: Proceedings of the nineteenth annual ACM symposium on Theory of computing (2)
- WEA'07: Proceedings of the 6th international conference on Experimental algorithms (2)
- COSN '13: Proceedings of the first ACM conference on Online social networks (1)
- EC '03: Proceedings of the 4th ACM conference on Electronic commerce (1)
- ICDCS '06: Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (1)
- SFCS '89: Proceedings of the 30th Annual Symposium on Foundations of Computer Science (1)
- SIGSPATIAL '12: Proceedings of the 20th International Conference on Advances in Geographic Information Systems (1)
- SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems (1)
- SODA '91: Proceedings of the second annual ACM-SIAM symposium on Discrete algorithms (1)
- STOC '02: Proceedings of the thiry-fourth annual ACM symposium on Theory of computing (1)
- STOC '05: Proceedings of the thirty-seventh annual ACM symposium on Theory of computing (1)
- STOC '86: Proceedings of the eighteenth annual ACM symposium on Theory of computing (1)
- STOC '88: Proceedings of the twentieth annual ACM symposium on Theory of computing (1)
Publication Date
Export Citations
Publications
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- article
Minimum-Cost Flows in Unit-Capacity Networks
- Andrew V. Goldberg
Amazon.com Inc, E. Palo Alto, USA
, - Sagi Hed
Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
, - Haim Kaplan
Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
, - Robert E. Tarjan
Department of Computer Science, Princeton University, Princeton, USA 08540 and Intertrust Technologies, Sunnyvale, USA 94085
Theory of Computing Systems, Volume 61, Issue 4•November 2017, pp 987-1010 • https://doi.org/10.1007/s00224-017-9776-7We consider combinatorial algorithms for the minimum-cost flow problem on networks with unit capacities, and special cases of the problem. Historically, researchers have developed special-purpose algorithms that exploit unit capacities. In contrast, for ...
- 0Citation
MetricsTotal Citations0
- Andrew V. Goldberg
- research-articlePublished By ACMPublished By ACM
Highway Dimension and Provably Efficient Shortest Path Algorithms
- Ittai Abraham
Microsoft Research Silicon Valley
, - Daniel Delling
Microsoft Research Silicon Valley
, - Amos Fiat
Tel Aviv University, Tel Aviv, Israel
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Renato F. Werneck
Microsoft Research Silicon Valley
Journal of the ACM, Volume 63, Issue 5•December 2016, Article No.: 41, pp 1-26 • https://doi.org/10.1145/2985473Computing driving directions has motivated many shortest path algorithms based on preprocessing. Given a graph, the preprocessing stage computes a modest amount of auxiliary data, which is then used to speed up online queries. In practice, the best ...
- 30Citation
- 936
- Downloads
MetricsTotal Citations30Total Downloads936Last 12 Months103Last 6 weeks7
- Ittai Abraham
- research-articlePublic AccessPublished By ACMPublished By ACM
Algorithms for Hub Label Optimization
- Maxim Babenko
National Research University Higher School of Economics, Kochnovskiy Proezd, Russia
, - Andrew V. Goldberg
Amazon.com, CA, USA
, - Anupam Gupta
Carnegie Mellon University, Pittsburgh PA, USA
, - Viswanath Nagarajan
University of Michigan, MI, USA
ACM Transactions on Algorithms, Volume 13, Issue 1•January 2017, Article No.: 16, pp 1-17 • https://doi.org/10.1145/2996593We consider the hub label optimization problem, which arises in designing fast preprocessing-based shortest-path algorithms. We give O(log n)-approximation algorithms for the objectives of minimizing the maximum label size (ℓ∞-norm) and simultaneously ...
- 2Citation
- 305
- Downloads
MetricsTotal Citations2Total Downloads305Last 12 Months69Last 6 weeks9
- Maxim Babenko
- research-articlePublished By ACMPublished By ACM
Navigation made personal: inferring driving preferences from GPS traces
- Daniel Delling
Sunnyvale
, - Andrew V. Goldberg
Emerald Hills
, - Moises Goldszmidt
Palo Alto
, - John Krumm
Microsoft Research
, - Kunal Talwar
San Francisco
, - Renato F. Werneck
San Francisco
SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems•November 2015, Article No.: 31, pp 1-9• https://doi.org/10.1145/2820783.2820808All current navigation systems return efficient source-to-destination routes assuming a "one-size-fits-all" set of objectives, without addressing most personal preferences. Although they allow some customization (like "avoid highways" or "avoid tolls"), ...
- 32Citation
- 343
- Downloads
MetricsTotal Citations32Total Downloads343Last 12 Months19Last 6 weeks4
- Daniel Delling
- article
An exact combinatorial algorithm for minimum graph bisection
- Daniel Delling
Microsoft Research Silicon Valley, Mountain View, USA
, - Daniel Fleischman
School of Operations Research and Information Engineering, Cornell University, Ithaca, USA
, - Andrew V. Goldberg
Microsoft Research Silicon Valley, Mountain View, USA
, - Ilya Razenshteyn
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA
, - Renato F. Werneck
Microsoft Research Silicon Valley, Mountain View, USA
Mathematical Programming: Series A and B, Volume 153, Issue 2•November 2015, pp 417-458 • https://doi.org/10.1007/s10107-014-0811-zWe present a novel exact algorithm for the minimum graph bisection problem, whose goal is to partition a graph into two equally-sized cells while minimizing the number of edges between them. Our algorithm is based on the branch-and-bound framework and, ...
- 9Citation
MetricsTotal Citations9
- Daniel Delling
- research-articlefreePublished By ACMPublished By ACM
Efficient maximum flow algorithms
- Andrew V. Goldberg
Microsoft Research Silicon Valley Lab, Mountain View, CA
, - Robert E. Tarjan
Princeton University, Princeton, NJ
Communications of the ACM, Volume 57, Issue 8•August 2014, pp 82-89 • https://doi.org/10.1145/2628036Though maximum flow algorithms have a long history, revolutionary progress is still being made.
- 77Citation
- 57,596
- Downloads
MetricsTotal Citations77Total Downloads57,596Last 12 Months818Last 6 weeks96
- Andrew V. Goldberg
- Article
Hub Labels: Theory and Practice
- Daniel Delling
Microsoft Research, Mountain View, USA
, - Andrew V. Goldberg
Microsoft Research, Mountain View, USA
, - Ruslan Savchenko
Department of Mech. and Math., Moscow State University, Moscow, Russia
, - Renato F. Werneck
Microsoft Research, Mountain View, USA
Proceedings of the 13th International Symposium on Experimental Algorithms - Volume 8504•June 2014, pp 259-270• https://doi.org/10.1007/978-3-319-07959-2_22The Hub Labeling algorithm (HL) is an exact shortest path algorithm with excellent query performance on some classes of problems. It precomputes some auxiliary information (stored as a label) for each vertex, and its query performance depends only on ...
- 10Citation
MetricsTotal Citations10
- Daniel Delling
- research-articlePublished By ACMPublished By ACM
Scalable similarity estimation in social networks: closeness, node labels, and random edge lengths
- Edith Cohen
Microsoft Research SVC, Mountain View, CA, USA
, - Daniel Delling
Microsoft Research SVC, Mountain View, CA, USA
, - Fabian Fuchs
KIT, Karlsruhe, Germany
, - Andrew V. Goldberg
Microsoft Research SVC, Mountain View, CA, USA
, - Moises Goldszmidt
Microsoft Research SVC, Mountain View, CA, USA
, - Renato F. Werneck
Microsoft Research SVC, Mountain View, CA, USA
COSN '13: Proceedings of the first ACM conference on Online social networks•October 2013, pp 131-142• https://doi.org/10.1145/2512938.2512944Similarity estimation between nodes based on structural properties of graphs is a basic building block used in the analysis of massive networks for diverse purposes such as link prediction, product recommendations, advertisement, collaborative filtering,...
- 46Citation
- 368
- Downloads
MetricsTotal Citations46Total Downloads368Last 12 Months12Last 6 weeks1
- Edith Cohen
- Article
Algorithms for hub label optimization
- Maxim Babenko
Department of Mechanics and Mathematics, Moscow State Univerity, Yandex
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Anupam Gupta
Carnegie Mellon University and Microsoft Research SVC
, - Viswanath Nagarajan
IBM T.J. Watson Research Center
ICALP'13: Proceedings of the 40th international conference on Automata, Languages, and Programming - Volume Part I•July 2013, pp 69-80• https://doi.org/10.1007/978-3-642-39206-1_7We consider the problem of approximating optimal hub labelings in the context of labeling algorithms for the shortest path problem. A previous result was a O(logn) approximating for minimizing the total label size. We give an O(logn)-approximation ...
- 6Citation
MetricsTotal Citations6
- Maxim Babenko
- research-articlePublished By ACMPublished By ACM
Alternative routes in road networks
- Ittai Abraham
Microsoft Research, Silicon Valley, Mountain View
, - Daniel Delling
Microsoft Research, Silicon Valley, Mountain View
, - Andrew V. Goldberg
Microsoft Research, Silicon Valley, Mountain View
, - Renato F. Werneck
Microsoft Research, Silicon Valley, Mountain View
ACM Journal of Experimental Algorithmics, Volume 18•2013, Article No.: 1.3, pp 1.1-1.17 • https://doi.org/10.1145/2444016.2444019We study the problem of finding good alternative routes in road networks. We look for routes that are substantially different from the shortest path, have small stretch, and are locally optimal. We formally define the problem of finding alternative ...
- 56Citation
- 1,206
- Downloads
MetricsTotal Citations56Total Downloads1,206Last 12 Months66Last 6 weeks12
- Ittai Abraham
- research-articlePublished By ACMPublished By ACM
HLDB: location-based services in databases
- Ittai Abraham
Microsoft Research SVC
, - Daniel Delling
Microsoft Research SVC
, - Amos Fiat
Tel Aviv Univ.
, - Andrew V. Goldberg
Microsoft Research SVC
, - Renato F. Werneck
Microsoft Research SVC
SIGSPATIAL '12: Proceedings of the 20th International Conference on Advances in Geographic Information Systems•November 2012, pp 339-348• https://doi.org/10.1145/2424321.2424365This paper introduces HLDB, the first practical system that can answer exact spatial queries on continental road networks entirely within a database. HLDB is based on hub labels (HL), the fastest point-to-point algorithm for road networks, and its ...
- 27Citation
- 432
- Downloads
MetricsTotal Citations27Total Downloads432Last 12 Months10Last 6 weeks6
- Ittai Abraham
- Article
Hierarchical hub labelings for shortest paths
- Ittai Abraham
Microsoft Research Silicon Valley
, - Daniel Delling
Microsoft Research Silicon Valley
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Renato F. Werneck
Microsoft Research Silicon Valley
ESA'12: Proceedings of the 20th Annual European conference on Algorithms•September 2012, pp 24-35• https://doi.org/10.1007/978-3-642-33090-2_4We study hierarchical hub labelings for computing shortest paths. Our new theoretical insights into the structure of hierarchical labels lead to faster preprocessing algorithms, making the labeling approach practical for a wider class of graphs. We also ...
- 67Citation
MetricsTotal Citations67
- Ittai Abraham
- research-articlefree
Exact combinatorial branch-and-bound for graph bisection
- Daniel Delling
Microsoft Research Silicon Valley
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Ilya Razenshteyn
Lomonosov Moscow State University
, - Renato F. Werneck
Microsoft Research Silicon Valley
ALENEX '12: Proceedings of the Meeting on Algorithm Engineering & Expermiments•January 2012, pp 30-44We present a novel exact algorithm for the minimum graph bisection problem, whose goal is to partition a graph into two equally-sized cells while minimizing the number of edges between them. Our algorithm is based on the branch-and-bound framework and, ...
- 8Citation
- 132
- Downloads
MetricsTotal Citations8Total Downloads132Last 12 Months57Last 6 weeks7
- Daniel Delling
- Article
Maximum flows by incremental breadth-first search
- Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Sagi Hed
Tel Aviv University
, - Haim Kaplan
Tel Aviv University
, - Robert E. Tarjan
Princeton University and HP Labs
, - Renato F. Werneck
Microsoft Research Silicon Valley
Maximum flow and minimum s-t cut algorithms are used to solve several fundamental problems in computer vision. These problems have special structure, and standard techniques perform worse than the special-purpose Boykov-Kolmogorov (BK) algorithm. We ...
- 10Citation
MetricsTotal Citations10
- Andrew V. Goldberg
- Article
VC-dimension and shortest path algorithms
- Ittai Abraham
Microsoft Research Silicon Valley
, - Daniel Delling
Microsoft Research Silicon Valley
, - Amos Fiat
Tel Aviv University
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Renato F. Werneck
Microsoft Research Silicon Valley
ICALP'11: Proceedings of the 38th international colloquim conference on Automata, languages and programming - Volume Part I•July 2011, pp 690-699We explore the relationship between VC-dimension and graph algorithm design. In particular, we show that set systems induced by sets of vertices on shortest paths have VC-dimension at most two. This allows us to use a result from learning theory to ...
- 22Citation
MetricsTotal Citations22
- Ittai Abraham
- Article
Customizable route planning
- Daniel Delling
Microsoft Research Silicon Valley
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Thomas Pajor
Karlsruhe Institute of Technology
, - Renato F. Werneck
Microsoft Research Silicon Valley
SEA'11: Proceedings of the 10th international conference on Experimental algorithms•May 2011, pp 376-387We present an algorithm to compute shortest paths on continental road networks with arbitrary metrics (cost functions). The approach supports turn costs, enables real-time queries, and can incorporate a new metric in a few seconds--fast enough to ...
- 43Citation
MetricsTotal Citations43
- Daniel Delling
- Article
A hub-based labeling algorithm for shortest paths in road networks
- Ittai Abraham
Microsoft Research Silicon Valley
, - Daniel Delling
Microsoft Research Silicon Valley
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Renato F. Werneck
Microsoft Research Silicon Valley
SEA'11: Proceedings of the 10th international conference on Experimental algorithms•May 2011, pp 230-241Abraham et al. [SODA 2010] have recently presented a theoretical analysis of several practical point-to-point shortest path algorithms based on modeling road networks as graphs with low highway dimension. They also analyze a labeling algorithm. While no ...
- 72Citation
MetricsTotal Citations72
- Ittai Abraham
- Article
Alternative routes in road networks
- Ittai Abraham
Microsoft Research Silicon Valley
, - Daniel Delling
Microsoft Research Silicon Valley
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Renato F. Werneck
Microsoft Research Silicon Valley
SEA'10: Proceedings of the 9th international conference on Experimental Algorithms•May 2010, pp 23-34• https://doi.org/10.1007/978-3-642-13193-6_3We study the problem of finding good alternative routes in road networks. We look for routes that are substantially different from the shortest path, have small stretch, and are locally optimal. We formally define the problem of finding alternative ...
- 9Citation
MetricsTotal Citations9
- Ittai Abraham
- research-article
Highway dimension, shortest paths, and provably efficient algorithms
- Ittai Abraham
Microsoft Research Silicon Valley
, - Amos Fiat
Tel-Aviv University
, - Andrew V. Goldberg
Microsoft Research Silicon Valley
, - Renato F. Werneck
Microsoft Research Silicon Valley
SODA '10: Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete algorithms•January 2010, pp 782-793Computing driving directions has motivated many shortest path heuristics that answer queries on continental scale networks, with tens of millions of intersections, literally instantly, and with very low storage overhead. In this paper we complement the ...
- 56Citation
- 647
- Downloads
MetricsTotal Citations56Total Downloads647Last 12 Months5
- Ittai Abraham
- research-articlePublished By ACMPublished By ACM
Shortest-path feasibility algorithms: An experimental evaluation
- Boris V. Cherkassky
Central Economics and Mathematics Institute of the Russian Academy of Sciences
, - Loukas Georgiadis
University of Western Macedonia, Kozani, Greece
, - Andrew V. Goldberg
Microsoft Research, Mountain View, CA
, - Robert E. Tarjan
Princeton University, Princeton, NJ
, - Renato F. Werneck
Microsoft Research, Mountain View, CA
ACM Journal of Experimental Algorithmics, Volume 14•2009, Article No.: 7, pp 2.7-2.37 • https://doi.org/10.1145/1498698.1537602This is an experimental study of algorithms for the shortest-path feasibility problem: Given a directed weighted graph, find a negative cycle or present a short proof that none exists. We study previously known and new algorithms. Our testbed is more ...
- 9Citation
- 954
- Downloads
MetricsTotal Citations9Total Downloads954Last 12 Months29Last 6 weeks1
- Boris V. Cherkassky
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