Thomas Ehrhard

2.2k citations
50 papers · 673 · h-index 14

Impact in

Papers in

Thomas Ehrhard

46 papers receiving 644 citations

Peers

Thomas Ehrhard
Comparison fields: 5 of 37
  • Computational Theory and Mathematics 467
  • Artificial Intelligence 606
  • Mathematical Physics 60
  • Algebra and Number Theory 23
  • Software 19
Replace Jan M. Smith with:
Jan M. Smith Sweden
Laurent Régnier France
J. M. E. Hyland United Kingdom
Paul-André Melliès France
Peter Dybjer Sweden
Thorsten Altenkirch United Kingdom
J. L. Bell Canada
Thomas Streicher Germany
Marcelo Fiore United Kingdom
Freek Wiedijk Netherlands
Thomas Ehrhard relative to Jan M. Smith Sweden Jan M. Smith's profile →
Citations per field
00.5×10×15×21×
Jan M. Smith · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200399
2 199593
3 200552
4 200642
5 200238
6 200837
7 200231
8 200128
9 201427
10 201720
11 199415
12 201114
13 201013
14 199313
15
Timeless Games
199712
16 199912
17 201812
18 199611
19 200511
20 201611

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 General Health Professions, having authored 50 papers that have together received 673 indexed citations. Recurring topics across this work include Logic, programming, and type systems (35 papers), Logic, Reasoning, and Knowledge (31 papers), Formal Methods in Verification (13 papers), Semantic Web and Ontologies (8 papers), Advanced Algebra and Logic (7 papers), Computability, Logic, AI Algorithms (5 papers), Multiculturalism, Politics, Migration, Gender (4 papers) and Education, sociology, and vocational training (4 papers). The work is most often cited by research in Computational Theory and Mathematics (467 citations), Artificial Intelligence (606 citations), Mathematical Physics (60 citations), Algebra and Number Theory (23 citations) and Software (19 citations). Thomas Ehrhard has collaborated with scholars based in France, Italy and Australia. Frequent co-authors include Laurent Régnier, Christine Tasson, Michele Pagani, Olivier Laurent, Vincent Danos, Jean-Yves Girard, Sharyl Martini, Gianluigi Bellin, Patrick Lincoln and Andreas Blass. 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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