Kate Larson
Impact in
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- Auction Theory and Applications
- Game Theory and Applications
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Auction Theory and Applications 54
- Game Theory and Applications 33
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- Game Theory and Voting Systems 37
- Co-authors
- Tüomas Sandholm (19 shared papers)Fernando Tohmé (3 shared papers)Martin Andersson (3 shared papers)Onn Shehory (4 shared papers)Iyad Rahwan (6 shared papers)Michael Winikoff (1 shared paper)Edmund H. Durfee (1 shared paper)Sanmay Das (1 shared paper)
- Journals
- Artificial Intelligence (4 papers)Autonomous Agents and Multi-Agent Systems (3 papers)Proceedings of the ACM on Human-Computer Interaction (3 papers)Theory of Computing Systems (2 papers)Decision (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Kate Larson
98 papers receiving 1.9k citations
Kate Larson's Hit Papers
Peers
Comparison fields: 5 of 112
- Management Science and Operations Research 945
- Computer Science Applications 143
- Artificial Intelligence 739
- Health Informatics 26
- Economics and Econometrics 520
Countries citing papers authored by Kate Larson
This map shows the geographic impact of Kate Larson'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 Kate Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Larson more than expected).
Fields of papers citing papers by Kate Larson
This network shows the impact of papers produced by Kate Larson. 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 Kate Larson. The network helps show where Kate Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate Larson, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coalition structure generation with worst case guarantees Hit paper breakdown → | 1999 | 527 |
| 2 | Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems | 2017 | 168 |
| 3 | 2021 | 151 | |
| 4 | Costly valuation computation in auctions | 2001 | 73 |
| 5 | 2000 | 55 | |
| 6 | 2001 | 51 | |
| 7 | 1998 | 48 | |
| 8 | 2018 | 42 | |
| 9 | 2009 | 42 | |
| 10 | A characterisation of strategy-proofness for grounded argumentation semantics | 2009 | 41 |
| 11 | 2008 | 41 | |
| 12 | 2019 | 35 | |
| 13 | 2020 | 33 | |
| 14 | Pareto optimality in abstract argumentation | 2008 | 31 |
| 15 | 2014 | 29 | |
| 16 | 2002 | 29 | |
| 17 | 2011 | 27 | |
| 18 | 2019 | 26 | |
| 19 | 2019 | 25 | |
| 20 | Coalitional affinity games and the stability gap | 2009 | 24 |
About Kate Larson
Kate Larson is a scholar working on Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence, Safety Research and Computer Networks and Communications, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Auction Theory and Applications (54 papers), Game Theory and Voting Systems (37 papers), Game Theory and Applications (33 papers), Experimental Behavioral Economics Studies (15 papers), Multi-Agent Systems and Negotiation (9 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Optimization and Search Problems (8 papers) and Decision-Making and Behavioral Economics (7 papers). The work is most often cited by research in Management Science and Operations Research (945 citations), Computer Science Applications (143 citations), Artificial Intelligence (739 citations), Health Informatics (26 citations) and Economics and Econometrics (520 citations). Kate Larson has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tüomas Sandholm, Fernando Tohmé, Martin Andersson, Onn Shehory, Iyad Rahwan, Michael Winikoff, Edmund H. Durfee, Sanmay Das, Edith Law and Simina Brânzei. Their work appears in journals such as Artificial Intelligence, Autonomous Agents and Multi-Agent Systems, Proceedings of the ACM on Human-Computer Interaction, Theory of Computing Systems and Decision.
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.