Didier Rémy
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Hardware and Architecture top 10%
- Co-authors
- Kim B. BruceJacques GarrigueXavier LeroyDamien DoligezAlain FrischJérôme VouillonDidier Le BotlanGiuseppe Castagna
- Topics
- Logic, programming, and type systems (10 papers)Model-Driven Software Engineering Techniques (4 papers)Advanced Database Systems and Queries (4 papers)
- Journals
- Theoretical Computer ScienceInformation and ComputationOpenGrey (Institut de l'Information Scientifique et Technique)
- Partner nations
- FranceJapanUnited States
In The Last Decade
Didier Rémy
12 papers receiving 258 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 268
- Computational Theory and Mathematics 110
- Computer Networks and Communications 108
- Information Systems 68
- Hardware and Architecture 62
Countries citing papers authored by Didier Rémy
This map shows the geographic impact of Didier Rémy'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 Didier Rémy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Rémy more than expected).
Fields of papers citing papers by Didier Rémy
This network shows the impact of papers produced by Didier Rémy. 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 Didier Rémy. The network helps show where Didier Rémy may publish in the future.
Co-authorship network of co-authors of Didier Rémy
This figure shows the co-authorship network connecting the top 25 collaborators of Didier Rémy. A scholar is included among the top collaborators of Didier Rémy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Didier Rémy. Didier Rémy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The OCaml system release 4.01: Documentation and user's manual | 8 |
| 2 | 1 | |
| 3 | 8 | |
| 4 | OVERLOADING, SUBTYPING AND LATE BINDING: FUNCTIONAL FOUNDATION OF OBJECT-ORIENTED PROGRAMMING | 1 |
| 5 | MLF made simple | 1 |
| 6 | 15 | |
| 7 | Type inference for records in natural extension of ML | 73 |
| 8 | Typing record concatenation for free | 19 |
| 9 | Extension of ML type system with a sorted equation theory on types | 6 |
| 10 | 16 | |
| 11 | Syntactic theories and the algebra of record terms | 19 |
| 12 | 129 |
About Didier Rémy
Didier Rémy is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 12 papers that have together received 296 indexed citations. Recurring topics across this work include Logic, programming, and type systems (10 papers), Model-Driven Software Engineering Techniques (4 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Software (39 citations), Hardware and Architecture (62 citations) and Artificial Intelligence (268 citations). Didier Rémy has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Kim B. Bruce, Jacques Garrigue, Xavier Leroy, Damien Doligez, Alain Frisch, Jérôme Vouillon, Didier Le Botlan, Giuseppe Castagna and G. Longo. Their work appears in journals such as Theoretical Computer Science, Information and Computation and OpenGrey (Institut de l'Information Scientifique et Technique).
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.