Michael Maschler
- Economics and Econometrics top 0.2%
- Management Science and Operations Research top 0.1%
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 5%
- Safety Research top 2%
- Co-authors
- Robert J. AumannMorton D. DavisBezalel PelegLloyd S. ShapleyS.H. TijsEilon SolanShmuel ZamirGuillermo Owen
- Topics
- Game Theory and Voting Systems (34 papers)Game Theory and Applications (20 papers)Auction Theory and Applications (15 papers)
- Cited by
- Management Science and Operations ResearchEconomics and EconometricsGeneral Decision Sciences
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Michael Maschler
45 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Economics and Econometrics 2.4k
- Management Science and Operations Research 1.9k
- Computational Theory and Mathematics 381
- Artificial Intelligence 283
- Safety Research 254
Countries citing papers authored by Michael Maschler
This map shows the geographic impact of Michael Maschler'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 Michael Maschler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Maschler more than expected).
Fields of papers citing papers by Michael Maschler
This network shows the impact of papers produced by Michael Maschler. 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 Michael Maschler. The network helps show where Michael Maschler may publish in the future.
Co-authorship network of co-authors of Michael Maschler
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Maschler. A scholar is included among the top collaborators of Michael Maschler 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 Michael Maschler. Michael Maschler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 36 | |
| 6 | 19 | |
| 7 | Monotonicity properties of the nucleolus of standard tree games | 7 |
| 8 | The general nucleolus as a subset of the least core | 0 |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 39 | |
| 12 | 93 | |
| 13 | 63 | |
| 14 | 163 | |
| 15 | 18 | |
| 16 | 124 | |
| 17 | PLAYING AN N-PERSON GAME, AN EXPERIMENT. | 21 |
| 18 | 23 | |
| 19 | 94 | |
| 20 | 31 |
About Michael Maschler
Michael Maschler is a scholar working on Management Science and Operations Research, Economics and Econometrics and General Decision Sciences, having authored 47 papers that have together received 3.1k indexed citations. Recurring topics across this work include Game Theory and Voting Systems (34 papers), Game Theory and Applications (20 papers) and Auction Theory and Applications (15 papers). The work is most often cited by research in Management Science and Operations Research (1.9k citations), Economics and Econometrics (2.4k citations) and General Decision Sciences (121 citations). Michael Maschler has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Robert J. Aumann, Morton D. Davis, Bezalel Peleg, Lloyd S. Shapley, S.H. Tijs, Eilon Solan, Shmuel Zamir, Guillermo Owen, Imma Curiel and Micha A. Perles. Their work appears in journals such as Econometrica, Management Science and Journal of Mathematical Analysis and Applications.
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.