Michal Feldman
- Management Science and Operations Research top 0.5%
- Computer Networks and Communications top 1%
- Economics and Econometrics top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Co-authors
- John ChuangIon StoicaKevin LaiYishay MansourMoshe TennenholtzCostas PapadimitriouNoga AlonBrendan Lucier
- Topics
- Auction Theory and Applications (74 papers)Game Theory and Applications (44 papers)Game Theory and Voting Systems (36 papers)
- Partner nations
- IsraelUnited StatesSwitzerland
In The Last Decade
Michal Feldman
98 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 74
- Management Science and Operations Research 1.1k
- Computer Networks and Communications 1.1k
- Economics and Econometrics 632
- Artificial Intelligence 312
- Sociology and Political Science 296
Countries citing papers authored by Michal Feldman
This map shows the geographic impact of Michal Feldman'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 Michal Feldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michal Feldman more than expected).
Fields of papers citing papers by Michal Feldman
This network shows the impact of papers produced by Michal Feldman. 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 Michal Feldman. The network helps show where Michal Feldman may publish in the future.
Co-authorship network of co-authors of Michal Feldman
This figure shows the co-authorship network connecting the top 25 collaborators of Michal Feldman. A scholar is included among the top collaborators of Michal Feldman 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 Michal Feldman. Michal Feldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | Pricing Identical Items. | 1 |
| 12 | 8 | |
| 13 | How robust is the wisdom of the crowds | 8 |
| 14 | 9 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | Economical Graph Discovery. | 6 |
| 18 | Playing Games without Observing Payoffs | 3 |
| 19 | 24 | |
| 20 | 42 |
About Michal Feldman
Michal Feldman is a scholar working on Management Science and Operations Research, Marketing and Economics and Econometrics, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Auction Theory and Applications (74 papers), Game Theory and Applications (44 papers) and Game Theory and Voting Systems (36 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Computer Networks and Communications (1.1k citations) and Marketing (210 citations). Michal Feldman has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include John Chuang, Ion Stoica, Kevin Lai, Yishay Mansour, Moshe Tennenholtz, Costas Papadimitriou, Noga Alon, Brendan Lucier, Nir Andelman and Amos Fiat. Their work appears in journals such as Econometrica, IEEE Journal on Selected Areas in Communications and Operations Research.
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.