Arnaud Durand

1.3k citations
55 papers · 449 · h-index 12

Impact in

Papers in

Arnaud Durand

51 papers receiving 433 citations

Peers

Arnaud Durand
Comparison fields: 5 of 70
  • Computational Theory and Mathematics 126
  • Mathematical Physics 63
  • Computer Networks and Communications 126
  • Artificial Intelligence 158
  • Statistics and Probability 39
Replace Baoguo Jia with:
Baoguo Jia China
Manor Mendel Israel
T. Parthasarathy India
Philippe Chassaing France
Michael Soltys United States
Jarmo Alanen Finland
P. M. Gauthier Canada
Zhenyuan Wang United States
Marianne Akian France
Johannes Grabmeier Germany
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Citations per field
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Citations per year

Countries citing papers authored by Arnaud Durand

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Durand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arnaud Durand, 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 Arnaud Durand Line = papers co-authored together Arnaud Durand links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201090
2 200036
3 200730
4 200824
5 201620
6 201717
7 201916
8 201214
9 201814
10 201113
11 200813
12 201412
13 201411
14 201110
15 20089
16 20089
17 20098
18 20137
19 20177
20 20197

About Arnaud Durand

Arnaud Durand is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Mathematical Physics, Computer Networks and Communications and Information Systems, having authored 55 papers that have together received 449 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (11 papers), Computability, Logic, AI Algorithms (9 papers), Advanced Graph Theory Research (9 papers), Mathematical Dynamics and Fractals (8 papers), semigroups and automata theory (7 papers), Logic, Reasoning, and Knowledge (7 papers), Advanced Algebra and Logic (6 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Computational Theory and Mathematics (126 citations), Mathematical Physics (63 citations), Computer Networks and Communications (126 citations), Artificial Intelligence (158 citations) and Statistics and Probability (39 citations). Arnaud Durand has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include Ery Arias-Castro, Emmanuel J. Candès, Jacques Pasquier, Miki Hermann, Étienne Grandjean, Phokion G. Kolaitis, Juha Kontinen, Stéphane Jaffard, Christian Prins and Andréa Cynthia Santos. Their work appears in journals such as Theory of Computing Systems, ACM Transactions on Computational Logic, Journal of Computer and System Sciences, Theoretical Computer Science and Probability Theory and Related Fields.

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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