Patrice Bertrand
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Co-authors
- Bernard BurtschyYves LechevallierEdwin DidayFrancisco de A.T. de CarvalhoPaula BritoM. F. JanowitzNadia Essoussi
- Topics
- Advanced Clustering Algorithms Research (8 papers)Rough Sets and Fuzzy Logic (5 papers)Data Management and Algorithms (5 papers)
- Partner nations
- FranceUnited StatesPortugal
In The Last Decade
Patrice Bertrand
15 papers receiving 299 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 126
- Computational Theory and Mathematics 112
- Signal Processing 77
- Computer Vision and Pattern Recognition 49
- Information Systems 47
Countries citing papers authored by Patrice Bertrand
This map shows the geographic impact of Patrice Bertrand'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 Patrice Bertrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrice Bertrand more than expected).
Fields of papers citing papers by Patrice Bertrand
This network shows the impact of papers produced by Patrice Bertrand. 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 Patrice Bertrand. The network helps show where Patrice Bertrand may publish in the future.
Co-authorship network of co-authors of Patrice Bertrand
This figure shows the co-authorship network connecting the top 25 collaborators of Patrice Bertrand. A scholar is included among the top collaborators of Patrice Bertrand 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 Patrice Bertrand. Patrice Bertrand 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 | 5 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 78 | |
| 9 | Comparaison de manuscrits sanskrits. | 0 |
| 10 | 15 | |
| 11 | 18 | |
| 12 | Set systems for which each set properly intersects at most one other set - Application to pyramidal clustering | 2 |
| 13 | 8 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 149 |
About Patrice Bertrand
Patrice Bertrand is a scholar working on Signal Processing, Computational Theory and Mathematics and Artificial Intelligence, having authored 16 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (8 papers), Rough Sets and Fuzzy Logic (5 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Signal Processing (77 citations), Computational Theory and Mathematics (112 citations) and Computational Mathematics (3 citations). Patrice Bertrand has collaborated with scholars based in France, United States and Portugal. Frequent co-authors include Bernard Burtschy, Yves Lechevallier, Edwin Diday, Francisco de A.T. de Carvalho, Paula Brito, M. F. Janowitz and Nadia Essoussi. Their work appears in journals such as Neurocomputing, Computational Statistics & Data Analysis and Discrete Applied Mathematics.
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.