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C³-index: revisiting author's performance measure

Authors:

Tanmoy ChakrabortyAuthors Info & Claims

WebSci '16: Proceedings of the 8th ACM Conference on Web Science

Pages 318 - 319

https://doi.org/10.1145/2908131.2908185

Published: 22 May 2016 Publication History

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Abstract

Author ranking indices, like h-index and its variants, fail to resolve ties while ranking authors with low index values (major volume including the young ones). In this work we leverage the citations as well as collaboration profile of an author in a novel way using a weighted multi-layered network and propose a page-rank variant to obtain a new author performance measure, C³-index. Experiments on a massive publication dataset reveal several interesting characteristics of our metric: (i) we observe that C³-index is consistent over time, (ii) C³-index has high potential to break ties among low rank authors, (iii) C³-index can be used to predict future achievers at the early stage of their career.

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T. Chakraborty et al. On the categorization of scientific citation profiles in computer science. Comm. ACM, 58(9):82--90, Aug. 2015.

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Cited By

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Bhattacharya SBanerjee AGoswami ANandi SPradhan D(2023)Machine Learning Based Approach for Future Prediction of Authors in Research AcademicsSN Computer Science10.1007/s42979-023-01692-64:3Online publication date: 1-Apr-2023
https://doi.org/10.1007/s42979-023-01692-6
Wani ZZainab T(2019)H-Index and Its VariantsScholarly Content and Its Evolution by Scientometric Indicators10.4018/978-1-5225-5945-0.ch005(115-166)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-5945-0.ch005
Pradhan DChakraborty JNandi SDey LChaudhury SKrishnapuram RSingla PRoy R(2019)Applications of Machine Learning in Analysis of Citation NetworkProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3297001.3297053(330-333)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1145/3297001.3297053
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C³-index: revisiting author's performance measure

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Information & Contributors

Information

Published In

WebSci '16: Proceedings of the 8th ACM Conference on Web Science

May 2016

392 pages

ISBN:9781450342087

DOI:10.1145/2908131

General Chairs:
Wolfgang Nejdl
Leibniz University Hannover & L3S Research Center, Germany
,
Wendy Hall
University of Southampton, UK
,
Program Chairs:
Paolo Parigi
Stanford University
,
Steffen Staab
University of Koblenz, Germany

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 May 2016

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WebSci '16

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SIGWEB

WebSci '16: ACM Web Science Conference

May 22 - 25, 2016

Hannover, Germany

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WebSci '16 Paper Acceptance Rate 13 of 70 submissions, 19%;

Overall Acceptance Rate 245 of 933 submissions, 26%

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Cited By

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Bhattacharya SBanerjee AGoswami ANandi SPradhan D(2023)Machine Learning Based Approach for Future Prediction of Authors in Research AcademicsSN Computer Science10.1007/s42979-023-01692-64:3Online publication date: 1-Apr-2023
https://doi.org/10.1007/s42979-023-01692-6
Wani ZZainab T(2019)H-Index and Its VariantsScholarly Content and Its Evolution by Scientometric Indicators10.4018/978-1-5225-5945-0.ch005(115-166)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-5945-0.ch005
Pradhan DChakraborty JNandi SDey LChaudhury SKrishnapuram RSingla PRoy R(2019)Applications of Machine Learning in Analysis of Citation NetworkProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3297001.3297053(330-333)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1145/3297001.3297053
Zhang FBai XLee I(2019)Author Impact: Evaluations, Predictions, and ChallengesIEEE Access10.1109/ACCESS.2019.29059557(38657-38669)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2905955
Chakraborty TNandi S(2018)Universal trajectories of scientific successKnowledge and Information Systems10.1007/s10115-017-1080-y54:2(487-509)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s10115-017-1080-y
Farooq MKhan HIqbal SMunir EShahzad A(2017)DS-Index: Ranking Authors Distinctively in an Academic NetworkIEEE Access10.1109/ACCESS.2017.27447985(19588-19596)Online publication date: 2017
https://doi.org/10.1109/ACCESS.2017.2744798
Gogoglou AManolopoulos Y(2017)Predicting the Evolution of Scientific OutputComputational Collective Intelligence10.1007/978-3-319-67074-4_24(244-254)Online publication date: 7-Sep-2017
https://doi.org/10.1007/978-3-319-67074-4_24

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Evaluation of h-index, its variants and extensions based on publication age & citation intensity in civil engineering

$$C^3$$C3-index: a PageRank based multi-faceted metric for authors' performance measurement

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