Jacques Garrigue

516 citations
33 papers · 177 · h-index 8

Impact in

Papers in

Jacques Garrigue

32 papers receiving 150 citations

Peers

Jacques Garrigue
Comparison fields: 5 of 19
  • Software 32
  • Hardware and Architecture 49
  • Artificial Intelligence 166
  • Computational Theory and Mathematics 62
  • Information Systems 50
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Frank Huch Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jacques Garrigue

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Garrigue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Jacques Garrigue, 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 Jacques Garrigue Line = papers co-authored together Jacques Garrigue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199932
2
Code reuse through polymorphic variants
200029
3
Programming with Polymorphic Variants
201019
4 199414
5 20069
6 19988
7
The OCaml system release 4.01: Documentation and user's manual
20138
8 20147
9 19956
10
Simple Type Inference for Structural Polymorphism.
20015
11 20115
12
Typing deep pattern-matching in presence of polymorphic variants
20044
13
Formalization of Reed-Solomon codes and progress report on formalization of LDPC codes
20163
14
The Typed Polymorphic Label-Selective lambda-Calculus
19933
15
New Results - Implémentations de Caml
20023
16 20183
17 20202
18 19982
19
Recursive Object-Oriented Modules
20052
20 20191

About Jacques Garrigue

Jacques Garrigue is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Software, having authored 33 papers that have together received 177 indexed citations. Recurring topics across this work include Logic, programming, and type systems (22 papers), Logic, Reasoning, and Knowledge (9 papers), Formal Methods in Verification (9 papers), Software Engineering Research (8 papers), Model-Driven Software Engineering Techniques (5 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Database Systems and Queries (3 papers) and Error Correcting Code Techniques (3 papers). The work is most often cited by research in Software (32 citations), Hardware and Architecture (49 citations), Artificial Intelligence (166 citations), Computational Theory and Mathematics (62 citations) and Information Systems (50 citations). Jacques Garrigue has collaborated with scholars based in Japan, France and Estonia. Frequent co-authors include Didier Rémy, Hassan Aı̈t-Kaci, Yasuhiko Minamide, Reynald Affeldt, Jérôme Vouillon, Xavier Leroy, Damien Doligez, Alain Frisch, Manuel V. Hermenegildo and Didier Rémy. Their work appears in journals such as ACM SIGPLAN Notices, Journal of Functional Programming, Theoretical Computer Science, Mathematical Structures in Computer Science and Journal of Automated Reasoning.

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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