Jean-Yves Marion
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Daniël LeivantGuillaume BonfanteSimona Ronchi Della RoccaMarco GaboardiHélène TouzetJosé M. FernandezDaniel ReynaudJoan Vivancos Calvet
- Topics
- Logic, programming, and type systems (15 papers)Formal Methods in Verification (12 papers)Logic, Reasoning, and Knowledge (9 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
Jean-Yves Marion
27 papers receiving 226 citations
Peers
Comparison fields: 5 of 17
- Artificial Intelligence 204
- Computational Theory and Mathematics 158
- Signal Processing 77
- Computer Networks and Communications 65
- Information Systems 45
Countries citing papers authored by Jean-Yves Marion
This map shows the geographic impact of Jean-Yves Marion'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 Jean-Yves Marion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Yves Marion more than expected).
Fields of papers citing papers by Jean-Yves Marion
This network shows the impact of papers produced by Jean-Yves Marion. 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 Jean-Yves Marion. The network helps show where Jean-Yves Marion may publish in the future.
Co-authorship network of co-authors of Jean-Yves Marion
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Yves Marion. A scholar is included among the top collaborators of Jean-Yves Marion 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 Jean-Yves Marion. Jean-Yves Marion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 16 | |
| 4 | 6 | |
| 5 | Dynamic Binary Instrumentation for Deobfuscation and Unpacking | 3 |
| 6 | On behavioral detection | 1 |
| 7 | 9 | |
| 8 | 19 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 29 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | Quasi-interpretation: a way to control ressources | 3 |
| 15 | 15 | |
| 16 | 0 | |
| 17 | Ramified Recurrence and Computational Complexity IV : Predicative Functionals and Poly-Space | 9 |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 48 |
About Jean-Yves Marion
Jean-Yves Marion is a scholar working on Computational Theory and Mathematics, Signal Processing and Software, having authored 32 papers that have together received 261 indexed citations. Recurring topics across this work include Logic, programming, and type systems (15 papers), Formal Methods in Verification (12 papers) and Logic, Reasoning, and Knowledge (9 papers). The work is most often cited by research in Computational Theory and Mathematics (158 citations), Signal Processing (77 citations) and Artificial Intelligence (204 citations). Jean-Yves Marion has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Daniël Leivant, Guillaume Bonfante, Simona Ronchi Della Rocca, Marco Gaboardi, Hélène Touzet, José M. Fernandez, Daniel Reynaud, Joan Vivancos Calvet, Reinhard Kähle and Serge Grigorieff. Their work appears in journals such as Theoretical Computer Science, ACM SIGPLAN Notices 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.