Éric Rémila

60 papers receiving 560 citations

Peers

Éric Rémila
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 101
  • Management Science and Operations Research 207
  • Industrial and Manufacturing Engineering 154
  • General Decision Sciences 17
  • Economics and Econometrics 250
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Flavia Bonomo Argentina
Paolo Penna Italy
Nick Gravin Singapore
Vincenzo Auletta Italy
Vladimir Gurvich United States
Elitza Maneva United States
Michele Flammini Italy
Markus Bläser Germany
Nima Anari United States
M. P. Quine Australia
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Citations per year

Countries citing papers authored by Éric Rémila

Since Specialization
Citations

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

Fields of papers citing papers by Éric Rémila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Éric Rémila, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éric Rémila Line = papers co-authored together Éric Rémila links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000116
2 200242
3 200929
4 199526
5 201722
6 199617
7 201317
8 201216
9 200515
10 201415
11 200414
12 201714
13 201513
14 201613
15 201412
16 199811
17 201411
18 201211
19 200410
20 20039

About Éric Rémila

Éric Rémila is a scholar working on Economics and Econometrics, Management Science and Operations Research, Computational Theory and Mathematics, Materials Chemistry and Artificial Intelligence, having authored 66 papers that have together received 584 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (35 papers), Game Theory and Applications (25 papers), Auction Theory and Applications (22 papers), Cellular Automata and Applications (18 papers), Quasicrystal Structures and Properties (9 papers), DNA and Biological Computing (6 papers), semigroups and automata theory (6 papers) and Experimental Behavioral Economics Studies (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (101 citations), Management Science and Operations Research (207 citations), Industrial and Manufacturing Engineering (154 citations), General Decision Sciences (17 citations) and Economics and Econometrics (250 citations). Éric Rémila has collaborated with scholars based in France, Germany and Spain. Frequent co-authors include Claire Kenyon, Philippe Solal, Sylvain Béal, Danièle Beauquier, Maurice Nivat, André Casajus, Frank Huettner, Olivier Bodini, Iván Rapaport and Johan Mazoyer. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, Mathematical Social Sciences, Annals of Operations Research and Theory and Decision.

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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