Thomas Ehrhard

2.2k citations
66 papers · 1.1k · h-index 18

Impact in

Papers in

Thomas Ehrhard

61 papers receiving 1.0k citations

Peers

Thomas Ehrhard
Comparison fields: 5 of 51
  • Computational Theory and Mathematics 764
  • Artificial Intelligence 1.0k
  • Mathematical Physics 89
  • Software 29
  • Algebra and Number Theory 30
Replace Paul-André Melliès with:
Paul-André Melliès France
Laurent Régnier France
Marcelo Fiore United Kingdom
Masahito Hasegawa Japan
Martin Hyland United Kingdom
Dietrich Kuske Germany
Sam Staton United Kingdom
Kent Petersson Sweden
Bengt Nordström Sweden
Stephen L. Bloom United States
Thomas Ehrhard relative to Paul-André Melliès France Paul-André Melliès's profile →
Citations per field
00.5×1.5×2.0×
Paul-André Melliès · 1×
Citations per year

Countries citing papers authored by Thomas Ehrhard

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Ehrhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995159
2 2003133
3 200567
4 200664
5 200851
6 200245
7 200239
8 200138
9 201437
10 200637
11 200733
12 201727
13 199421
14 201119
15
Timeless Games
199718
16 200518
17 199917
18 201017
19 199317
20 201616

About Thomas Ehrhard

Thomas Ehrhard is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Political Science and International Relations, Sociology and Political Science and Computer Networks and Communications, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Logic, programming, and type systems (46 papers), Logic, Reasoning, and Knowledge (41 papers), Formal Methods in Verification (18 papers), Advanced Algebra and Logic (13 papers), Semantic Web and Ontologies (8 papers), Computability, Logic, AI Algorithms (6 papers), Education, sociology, and vocational training (5 papers) and Multiculturalism, Politics, Migration, Gender (4 papers). The work is most often cited by research in Computational Theory and Mathematics (764 citations), Artificial Intelligence (1.0k citations), Mathematical Physics (89 citations), Software (29 citations) and Algebra and Number Theory (30 citations). Thomas Ehrhard has collaborated with scholars based in France, Italy and Portugal. Frequent co-authors include Laurent Régnier, Antonio Bucciarelli, Christine Tasson, Michele Pagani, Vincent Danos, Giulio Manzonetto, Olivier Laurent, Jean-Yves Girard, Patrick Lincoln and Vito Michele Abrusci. Their work appears in journals such as Theoretical Computer Science, Mathematical Structures in Computer Science, Logical Methods in Computer Science, Annals of Pure and Applied Logic and Information and Computation.

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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