Kate Larson

86 papers receiving 1.5k citations

Peers

Kate Larson
Comparison fields: 5 of 107
  • Management Science and Operations Research 781
  • Computer Science Applications 127
  • Artificial Intelligence 554
  • Safety Research 142
  • Economics and Econometrics 424
Replace Lirong Xia with:
Lirong Xia United States
Sanmay Das United States
Simon Miles United Kingdom
Nathan Griffiths United Kingdom
Julia Stoyanovich United States
Amos Azaria Israel
Xudong Luo China
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Citations per year

Countries citing papers authored by Kate Larson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kate Larson Line = papers co-authored together Kate Larson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999440
2
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems
2017153
3 2021122
4
Costly valuation computation in auctions
200166
5 200144
6 200044
7 201840
8 199835
9 202031
10 201930
11 200227
12 201925
13 201422
14
A characterisation of strategy-proofness for grounded argumentation semantics
200922
15 201122
16 200822
17 200522
18
Coalitional affinity games and the stability gap
200921
19 201921
20 201220

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 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Auction Theory and Applications (47 papers), Game Theory and Voting Systems (32 papers), Game Theory and Applications (28 papers), Experimental Behavioral Economics Studies (14 papers), Mobile Crowdsensing and Crowdsourcing (7 papers), Multi-Agent Systems and Negotiation (7 papers), Optimization and Search Problems (6 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Management Science and Operations Research (781 citations), Computer Science Applications (127 citations), Artificial Intelligence (554 citations), Safety Research (142 citations) and Economics and Econometrics (424 citations). Kate Larson has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tüomas Sandholm, Fernando Tohmé, Onn Shehory, Martin Andersson, Sanmay Das, Michael Winikoff, Edmund H. Durfee, Iyad Rahwan, 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 Biotechnology and Bioengineering.

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.

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