Pascal Weil

1.8k citations
75 papers · 1.1k · h-index 19

Impact in

Papers in

Pascal Weil

74 papers receiving 1.0k citations

Peers

Pascal Weil
Comparison fields: 5 of 36
  • Computational Theory and Mathematics 1.0k
  • Geometry and Topology 264
  • Discrete Mathematics and Combinatorics 75
  • Artificial Intelligence 575
  • Mathematical Physics 78
Replace Jacques Sakarovitch with:
Jacques Sakarovitch France
Dietrich Kuske Germany
Jean-Éric Pin France
Denis Thérien Canada
Yechezkel Zalcstein United States
Kevin J. Compton United States
Luc Boasson France
Mikhail V. Volkov Russia
G. S. Makanin Russia
Stefano Varricchio Italy
Pascal Weil relative to Jacques Sakarovitch France Jacques Sakarovitch's profile →
Citations per field
00.5×
Jacques Sakarovitch · 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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997128
2 200072
3 199553
4 200143
5 199640
6 199839
7 199837
8 199235
9 200133
10 199632
11 200227
12 199327
13 200724
14 200023
15 200222
16 198921
17 200321
18 200719
19 199218
20 199418

About Pascal Weil

Pascal Weil is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Geometry and Topology, Mathematical Physics and Molecular Biology, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include semigroups and automata theory (62 papers), Advanced Algebra and Logic (33 papers), Geometric and Algebraic Topology (23 papers), Logic, programming, and type systems (21 papers), Formal Methods in Verification (7 papers), Algorithms and Data Compression (5 papers), Natural Language Processing Techniques (5 papers) and Advanced Operator Algebra Research (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Geometry and Topology (264 citations), Discrete Mathematics and Combinatorics (75 citations), Artificial Intelligence (575 citations) and Mathematical Physics (78 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, Mark Sapir, John Rhodes, Enric Ventura, John Meakin, Howard Straubing and Zoltán Ésik. Their work appears in journals such as International Journal of Algebra and Computation, Theoretical Computer Science, Journal of Pure and Applied Algebra, Journal of Algebra and Semigroup Forum.

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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