Pascal Koiran

2.3k citations
67 papers · 868 · h-index 18

Impact in

Papers in

    • Polynomial and algebraic computation 23
    • Complexity and Algorithms in Graphs 18
    • Computability, Logic, AI Algorithms 15
    • Advanced Graph Theory Research 6
    • semigroups and automata theory 6
    • Machine Learning and Algorithms 15
    • Coding theory and cryptography 14
    • Neural Networks and Applications 12

Pascal Koiran

64 papers receiving 797 citations

Peers

Pascal Koiran
Comparison fields: 5 of 66
  • Computational Theory and Mathematics 577
  • Computational Mathematics 20
  • Algebra and Number Theory 76
  • Artificial Intelligence 427
  • Geometry and Topology 91
Replace Amir Yehudayoff with:
Amir Yehudayoff Israel
Neeraj Kayal India
Daniel M. Kane United States
Arne Storjohann Canada
Barry Trager United States
Alex Samorodnitsky Israel
Gilles Villard France
Dmitrii V. Ṗasechnik Netherlands
J. M. Pollard United Kingdom
Richard Zippel United States
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Citations per field
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Citations per year

Countries citing papers authored by Pascal Koiran

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Koiran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199465
2 199756
3 201249
4 199640
5 199437
6 200535
7 199932
8 200131
9 199429
10 200525
11 199924
12 200122
13 199721
14 199521
15 199520
16 199819
17 200318
18 200517
19 199917
20 200617

About Pascal Koiran

Pascal Koiran is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology, Algebra and Number Theory and Electrical and Electronic Engineering, having authored 67 papers that have together received 868 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (23 papers), Complexity and Algorithms in Graphs (18 papers), Machine Learning and Algorithms (15 papers), Computability, Logic, AI Algorithms (15 papers), Coding theory and cryptography (14 papers), Neural Networks and Applications (12 papers), Advanced Graph Theory Research (6 papers) and semigroups and automata theory (6 papers). The work is most often cited by research in Computational Theory and Mathematics (577 citations), Computational Mathematics (20 citations), Algebra and Number Theory (76 citations), Artificial Intelligence (427 citations) and Geometry and Topology (91 citations). Pascal Koiran has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Eduardo D. Sontag, Felipe Cucker, Erich Kaltofen, Michel Cosnard, Max Garzón, Natacha Portier, Vincent D. Blondel, Emmanuel Jeandel, Cristopher Moore and Leonid Gurvits. Their work appears in journals such as Theoretical Computer Science, Journal of Complexity, Journal of Computer and System Sciences, Computational Complexity and Foundations of Computational Mathematics.

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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