Pascal Weil

1.9k citations
84 papers · 1.2k · h-index 19

Impact in

Papers in

Pascal Weil

81 papers receiving 1.2k citations

Peers

Pascal Weil
Comparison fields: 5 of 44
  • Computational Theory and Mathematics 1.1k
  • Geometry and Topology 272
  • Discrete Mathematics and Combinatorics 81
  • Artificial Intelligence 642
  • Mathematical Physics 91
Replace Bakhadyr Khoussainov with:
Bakhadyr Khoussainov New Zealand
Dietrich Kuske Germany
Jean-Éric Pin France
Jacques Sakarovitch France
Anuj Dawar United Kingdom
Yechezkel Zalcstein United States
Kevin J. Compton United States
Hans Zantema Netherlands
Richard Statman United States
Andreĭ A. Bulatov Canada
Pascal Weil relative to Bakhadyr Khoussainov New Zealand Bakhadyr Khoussainov's profile →
Citations per field
00.5×2×3×4×4.5×
Bakhadyr Khoussainov · 1×
Citations per year

Countries citing papers authored by Pascal Weil

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Weil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997132
2 200078
3 199552
4
Proceedings of the 25th Annual Symposium on Theoretical Aspects of Computer Science - STACS 2008
200850
5 200147
6 199645
7 199843
8 199837
9 200136
10 199235
11 199634
12 200230
13 200728
14 199328
15 200223
16 200023
17 200321
18 198921
19 199220
20 199719

About Pascal Weil

Pascal Weil is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Artificial Intelligence, Mathematical Physics and Discrete Mathematics and Combinatorics, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include semigroups and automata theory (66 papers), Advanced Algebra and Logic (35 papers), Logic, programming, and type systems (23 papers), Geometric and Algebraic Topology (23 papers), Formal Methods in Verification (10 papers), Algorithms and Data Compression (6 papers), DNA and Biological Computing (6 papers) and Advanced Operator Algebra Research (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Geometry and Topology (272 citations), Discrete Mathematics and Combinatorics (81 citations), Artificial Intelligence (642 citations) and Mathematical Physics (91 citations). Pascal Weil has collaborated with scholars based in France, United States and India. Frequent co-authors include Jean-Éric Pin, Kamal Lodaya, Jorge Almeida, Samuel Margolis, Susanne Albers, Mark Sapir, John Rhodes, Enric Ventura, Howard Straubing and Alexei Miasnikov. Their work appears in journals such as International Journal of Algebra and Computation, Theoretical Computer Science, Journal of Pure and Applied Algebra, Semigroup Forum and Journal of Group Theory.

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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