Fabrice Guillet
- Molecular Biology
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Co-authors
- S. HagègeH. BriandJulien BlanchardD. JérômeHoward J. HamiltonEinoshin SuzukiPascale KuntzBruno Pinaud
- Topics
- Data Mining Algorithms and Applications (8 papers)Data Management and Algorithms (6 papers)Semantic Web and Ontologies (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied CrystallographyIEEE Transactions on Knowledge and Data Engineering
In The Last Decade
Fabrice Guillet
19 papers receiving 472 citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 203
- Artificial Intelligence 134
- Information Systems 129
- Computational Theory and Mathematics 78
- Materials Chemistry 47
Countries citing papers authored by Fabrice Guillet
This map shows the geographic impact of Fabrice Guillet'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 Fabrice Guillet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrice Guillet more than expected).
Fields of papers citing papers by Fabrice Guillet
This network shows the impact of papers produced by Fabrice Guillet. 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 Fabrice Guillet. The network helps show where Fabrice Guillet may publish in the future.
Co-authorship network of co-authors of Fabrice Guillet
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Guillet. A scholar is included among the top collaborators of Fabrice Guillet 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 Fabrice Guillet. Fabrice Guillet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 27 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 73 | |
| 12 | 1 | |
| 13 | Statistical Implicative Analysis: Theory and Applications | 34 |
| 14 | 13 | |
| 15 | Quality Measures in Data Mining (Studies in Computational Intelligence) | 19 |
| 16 | 9 | |
| 17 | 32 | |
| 18 | 3 | |
| 19 | 22 | |
| 20 | 231 |
About Fabrice Guillet
Fabrice Guillet is a scholar working on Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 22 papers that have together received 499 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Data Management and Algorithms (6 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Information Systems (129 citations), Computational Theory and Mathematics (78 citations) and Artificial Intelligence (134 citations). Fabrice Guillet has collaborated with scholars based in France, Japan and Vietnam. Frequent co-authors include S. Hagège, H. Briand, Julien Blanchard, D. Jérôme, Howard J. Hamilton, Einoshin Suzuki, Pascale Kuntz, Bruno Pinaud, Angélique Villière and Carole Prost. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Crystallography and IEEE Transactions on Knowledge and Data Engineering.
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.