David Kurokawa
- Economics and Econometrics top 2%
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 5%
- Safety Research top 5%
- Artificial Intelligence
- Co-authors
- Ariel D. ProcacciaJunxing WangNisarg ShahIoannis CaragiannisHervé MoulinJohn K. LaiSimina BrânzeiYoram Bachrach
- Topics
- Auction Theory and Applications (14 papers)Game Theory and Voting Systems (13 papers)Game Theory and Applications (7 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsGeneral Decision Sciences
- Journals
- Journal of the ACMSIAM Journal on Scientific ComputingENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
- Partner nations
- United StatesGreeceUnited Kingdom
In The Last Decade
David Kurokawa
15 papers receiving 514 citations
Peers
Comparison fields: 5 of 43
- Economics and Econometrics 406
- Management Science and Operations Research 386
- Computational Theory and Mathematics 102
- Safety Research 79
- Artificial Intelligence 57
Countries citing papers authored by David Kurokawa
This map shows the geographic impact of David Kurokawa'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 David Kurokawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kurokawa more than expected).
Fields of papers citing papers by David Kurokawa
This network shows the impact of papers produced by David Kurokawa. 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 David Kurokawa. The network helps show where David Kurokawa may publish in the future.
Co-authorship network of co-authors of David Kurokawa
This figure shows the co-authorship network connecting the top 25 collaborators of David Kurokawa. A scholar is included among the top collaborators of David Kurokawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Kurokawa. David Kurokawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 127 | |
| 2 | 14 | |
| 3 | 13 | |
| 4 | 51 | |
| 5 | 12 | |
| 6 | 155 | |
| 7 | 45 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | Biased games | 1 |
| 11 | 31 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 26 | |
| 15 | 3 |
About David Kurokawa
David Kurokawa is a scholar working on Management Science and Operations Research, Economics and Econometrics and Discrete Mathematics and Combinatorics, having authored 15 papers that have together received 522 indexed citations. Recurring topics across this work include Auction Theory and Applications (14 papers), Game Theory and Voting Systems (13 papers) and Game Theory and Applications (7 papers). The work is most often cited by research in Management Science and Operations Research (386 citations), Economics and Econometrics (406 citations) and General Decision Sciences (19 citations). David Kurokawa has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include Ariel D. Procaccia, Junxing Wang, Nisarg Shah, Ioannis Caragiannis, Hervé Moulin, Ariel D. Procaccia, John K. Lai, Simina Brânzei, Yoram Bachrach and Ian A. Kash. Their work appears in journals such as Journal of the ACM, SIAM Journal on Scientific Computing and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
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.