Nicolas Vieille

106 total papers · 1.8k total citations
41 papers, 838 citations indexed

About

Nicolas Vieille is a scholar working on Management Science and Operations Research, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, Nicolas Vieille has authored 41 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Management Science and Operations Research, 30 papers in Economics and Econometrics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Nicolas Vieille's work include Game Theory and Applications (32 papers), Economic theories and models (22 papers) and Game Theory and Voting Systems (16 papers). Nicolas Vieille is often cited by papers focused on Game Theory and Applications (32 papers), Economic theories and models (22 papers) and Game Theory and Voting Systems (16 papers). Nicolas Vieille collaborates with scholars based in France, United States and Israel. Nicolas Vieille's co-authors include Eilon Solan, Dinah Rosenberg, Johannes Hörner, Nizar Touzi, Satoru Takahashi, Takuo Sugaya, Olivier Gossner, Catherine Rainer, Pierre Cardaliaguet and Eran Shmaya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Econometrica and Operations Research.

In The Last Decade

Nicolas Vieille

41 papers receiving 797 citations

Author Peers

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

Author						Papers	Cites
Nicolas Vieille	629	482	123	121	117	41	838
Philipp Strack	426 0.7×	388 0.8×	253 2.1×	146 1.2×	47 0.4×	78	907
Anne van den Nouweland	731 1.2×	698 1.4×	109 0.9×	20 0.2×	153 1.3×	49	976
Fabio Lamantia	239 0.4×	422 0.9×	87 0.7×	41 0.3×	32 0.3×	59	718
Oscar Volij	356 0.6×	597 1.2×	240 2.0×	28 0.2×	64 0.5×	52	1.0k
Elchanan Ben-Porath	522 0.8×	370 0.8×	237 1.9×	23 0.2×	36 0.3×	16	728
Peyton Young	479 0.8×	366 0.8×	200 1.6×	47 0.4×	92 0.8×	15	864
Stanley Reiter	372 0.6×	453 0.9×	99 0.8×	45 0.4×	13 0.1×	47	996
Mukul Majumdar	148 0.2×	699 1.5×	35 0.3×	120 1.0×	87 0.7×	78	969
Leon A. Petrosyan	382 0.6×	458 1.0×	20 0.2×	76 0.6×	62 0.5×	90	824
Leandro Chaves Rêgo	495 0.8×	277 0.6×	95 0.8×	34 0.3×	236 2.0×	84	1.0k

Countries citing papers authored by Nicolas Vieille

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Vieille

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Vieille. 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 Nicolas Vieille. The network helps show where Nicolas Vieille may publish in the future.

Co-authorship network of co-authors of Nicolas Vieille

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Vieille. A scholar is included among the top collaborators of Nicolas Vieille 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 Nicolas Vieille. Nicolas Vieille 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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