Olivier Raynaud
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Information Systems top 10%
- Signal Processing top 10%
- Organizational Behavior and Human Resource Management
- Co-authors
- Lhouari NourineChristine HancockMichel HabibYves CaseauÉric ThierryFrances HumberAnnette C. BroderickBrendan J. Godley
- Topics
- Rough Sets and Fuzzy Logic (7 papers)Semantic Web and Ontologies (4 papers)semigroups and automata theory (3 papers)
- Cited by
- Computational Theory and MathematicsSignal ProcessingDiscrete Mathematics and Combinatorics
- Partner nations
- FranceSwitzerlandDenmark
In The Last Decade
Olivier Raynaud
11 papers receiving 219 citations
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 148
- Artificial Intelligence 83
- Information Systems 82
- Signal Processing 56
- Organizational Behavior and Human Resource Management 27
Countries citing papers authored by Olivier Raynaud
This map shows the geographic impact of Olivier Raynaud'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 Olivier Raynaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Raynaud more than expected).
Fields of papers citing papers by Olivier Raynaud
This network shows the impact of papers produced by Olivier Raynaud. 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 Olivier Raynaud. The network helps show where Olivier Raynaud may publish in the future.
Co-authorship network of co-authors of Olivier Raynaud
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Raynaud. A scholar is included among the top collaborators of Olivier Raynaud 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 Olivier Raynaud. Olivier Raynaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 50 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | Efficient algorithms for clone items detection. | 4 |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 134 | |
| 12 | 14 |
About Olivier Raynaud
Olivier Raynaud is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 12 papers that have together received 250 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (7 papers), Semantic Web and Ontologies (4 papers) and semigroups and automata theory (3 papers). The work is most often cited by research in Computational Theory and Mathematics (148 citations), Signal Processing (56 citations) and Discrete Mathematics and Combinatorics (12 citations). Olivier Raynaud has collaborated with scholars based in France, Switzerland and Denmark. Frequent co-authors include Lhouari Nourine, Christine Hancock, Michel Habib, Yves Caseau, Éric Thierry, Frances Humber, Annette C. Broderick, Brendan J. Godley, Philippe Lalanda and Yoan Renaud. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics and Globalization and Health.
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.