Eric S. Maskin

39 total papers · 1.5k total citations
23 papers, 798 citations indexed

About

Eric S. Maskin is a scholar working on Economics and Econometrics, Management Science and Operations Research and Political Science and International Relations. According to data from OpenAlex, Eric S. Maskin has authored 23 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 8 papers in Management Science and Operations Research and 3 papers in Political Science and International Relations. Recurrent topics in Eric S. Maskin's work include Economic theories and models (11 papers), Economic Theory and Institutions (6 papers) and Game Theory and Applications (5 papers). Eric S. Maskin is often cited by papers focused on Economic theories and models (11 papers), Economic Theory and Institutions (6 papers) and Game Theory and Applications (5 papers). Eric S. Maskin collaborates with scholars based in United States, Russia and United Kingdom. Eric S. Maskin's co-authors include Jean‐Jacques Laffont, Abhijit Banerjee, David M. Kreps, Drew Fudenberg, David Daokui Li, Partha Dasgupta, Mark A. Chen, Jean Tirole, Kevin Roberts and Scott Barrett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and American Economic Review.

In The Last Decade

Eric S. Maskin

21 papers receiving 704 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eric S. Maskin 484 270 161 109 104 23 798
Maxim Engers 453 0.9× 188 0.7× 51 0.3× 122 1.1× 70 0.7× 21 755
J.J. Laffont 613 1.3× 369 1.4× 71 0.4× 217 2.0× 52 0.5× 19 892
Martin W. Cripps 377 0.8× 557 2.1× 107 0.7× 90 0.8× 45 0.4× 28 858
Meir Kohn 518 1.1× 123 0.5× 140 0.9× 146 1.3× 202 1.9× 49 784
Deborah Minehart 457 0.9× 244 0.9× 70 0.4× 63 0.6× 55 0.5× 15 707
Val E. Lambson 750 1.5× 221 0.8× 202 1.3× 151 1.4× 115 1.1× 36 944
Dek Terrell 533 1.1× 146 0.5× 75 0.5× 63 0.6× 95 0.9× 29 836
Masahiro Okuno‐Fujiwara 568 1.2× 540 2.0× 62 0.4× 143 1.3× 93 0.9× 33 1.0k
Leonardo Felli 495 1.0× 211 0.8× 80 0.5× 30 0.3× 33 0.3× 49 742
Niko Matouschek 385 0.8× 299 1.1× 49 0.3× 32 0.3× 39 0.4× 24 700

Countries citing papers authored by Eric S. Maskin

Since Specialization
Citations

This map shows the geographic impact of Eric S. Maskin'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 Eric S. Maskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric S. Maskin more than expected).

Fields of papers citing papers by Eric S. Maskin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Maskin. 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 Eric S. Maskin. The network helps show where Eric S. Maskin may publish in the future.

Co-authorship network of co-authors of Eric S. Maskin

This figure shows the co-authorship network connecting the top 25 collaborators of Eric S. Maskin. A scholar is included among the top collaborators of Eric S. Maskin 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 Eric S. Maskin. Eric S. Maskin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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