Éric Rémila

85 papers receiving 812 citations

Peers

Éric Rémila
Comparison fields: 5 of 67
  • Computer Graphics and Computer-Aided Design 138
  • Industrial and Manufacturing Engineering 209
  • Management Science and Operations Research 232
  • Computational Theory and Mathematics 232
  • Discrete Mathematics and Combinatorics 35
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Elizna Burger South Africa
Marcin Mucha Poland
David Lichtenstein United States
J. Michael Steele United States
Markus Bläser Germany
Gary MacGillivray Canada
Frauke Liers Germany
Balabhaskar Balasundaram United States
Κωνσταντίνος Παναγιώτου Germany
Pierre Rosenstiehl France
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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 25 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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000156
2 200259
3 199532
4 200630
5 200929
6 200425
7 200424
8 201723
9 201319
10 201219
11 200618
12 201718
13 199617
14 200516
15 201415
16 200315
17 201614
18 201514
19 200413
20 201412

About Éric Rémila

Éric Rémila is a scholar working on Computational Theory and Mathematics, Economics and Econometrics, Management Science and Operations Research, Artificial Intelligence and Materials Chemistry, having authored 92 papers that have together received 853 indexed citations. Recurring topics across this work include Game Theory and Voting Systems (37 papers), Cellular Automata and Applications (29 papers), Game Theory and Applications (26 papers), Auction Theory and Applications (24 papers), Quasicrystal Structures and Properties (12 papers), semigroups and automata theory (11 papers), DNA and Biological Computing (10 papers) and Algorithms and Data Compression (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (138 citations), Industrial and Manufacturing Engineering (209 citations), Management Science and Operations Research (232 citations), Computational Theory and Mathematics (232 citations) and Discrete Mathematics and Combinatorics (35 citations). Éric Rémila has collaborated with scholars based in France, Chile and Germany. Frequent co-authors include Claire Kenyon, Philippe Solal, Sylvain Béal, Danièle Beauquier, Maurice Nivat, Iván Rapaport, André Casajus, Olivier Bodini, Frank Huettner and Encarnación Algaba. 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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