Shuchi Chawla
Impact in
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- Auction Theory and Applications
- Marketing top 1%
- Consumer Market Behavior and Pricing
Papers in
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- Auction Theory and Applications 37
- Game Theory and Applications 9
- Advanced Bandit Algorithms Research 6
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- Optimization and Search Problems 23
- Co-authors
- Avrim Blum (9 shared papers)Nikhil Bansal (4 shared papers)Jason D. Hartline (10 shared papers)Balasubramanian Sivan (12 shared papers)David L. Malec (3 shared papers)Adam Meyerson (3 shared papers)Robert Kleinberg (3 shared papers)Terran Lane (2 shared papers)
- Journals
- Games and Economic Behavior (3 papers)Proceedings of the VLDB Endowment (1 paper)ACM SIGCOMM Computer Communication Review (1 paper)Computational Complexity (1 paper)Machine Learning (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Shuchi Chawla
65 papers receiving 2.4k citations
Shuchi Chawla's Hit Papers
Peers
Comparison fields: 5 of 126
- Management Science and Operations Research 981
- Marketing 535
- Computer Networks and Communications 654
- Computational Theory and Mathematics 430
- Computer Science Applications 136
Countries citing papers authored by Shuchi Chawla
This map shows the geographic impact of Shuchi Chawla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shuchi Chawla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuchi Chawla more than expected).
Fields of papers citing papers by Shuchi Chawla
This network shows the impact of papers produced by Shuchi Chawla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shuchi Chawla. The network helps show where Shuchi Chawla may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuchi Chawla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Correlation Clustering Hit paper breakdown → | 2004 | 536 |
| 2 | 2010 | 195 | |
| 3 | 2018 | 145 | |
| 4 | 2004 | 127 | |
| 5 | 2004 | 124 | |
| 6 | 2007 | 118 | |
| 7 | 2006 | 115 | |
| 8 | 2007 | 111 | |
| 9 | 2003 | 106 | |
| 10 | 2015 | 53 | |
| 11 | 2010 | 52 | |
| 12 | 2010 | 51 | |
| 13 | 2005 | 49 | |
| 14 | 2015 | 44 | |
| 15 | 2012 | 43 | |
| 16 | 2012 | 42 | |
| 17 | 2010 | 38 | |
| 18 | 2005 | 36 | |
| 19 | 2003 | 36 | |
| 20 | 2013 | 31 |
About Shuchi Chawla
Shuchi Chawla is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Marketing, Economics and Econometrics and Artificial Intelligence, having authored 72 papers that have together received 2.6k indexed citations. Recurring topics across this work include Auction Theory and Applications (37 papers), Optimization and Search Problems (23 papers), Consumer Market Behavior and Pricing (23 papers), Game Theory and Voting Systems (11 papers), Complexity and Algorithms in Graphs (11 papers), Experimental Behavioral Economics Studies (9 papers), Game Theory and Applications (9 papers) and Advanced Bandit Algorithms Research (6 papers). The work is most often cited by research in Management Science and Operations Research (981 citations), Marketing (535 citations), Computer Networks and Communications (654 citations), Computational Theory and Mathematics (430 citations) and Computer Science Applications (136 citations). Shuchi Chawla has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Avrim Blum, Nikhil Bansal, Jason D. Hartline, Balasubramanian Sivan, David L. Malec, Adam Meyerson, Robert Kleinberg, Terran Lane, David R. Karger and D. Sivakumar. Their work appears in journals such as Games and Economic Behavior, Proceedings of the VLDB Endowment, ACM SIGCOMM Computer Communication Review, Computational Complexity and Machine Learning.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.