Patrice Bertrand
- Signal Processing top 10%
- Data Management and Algorithms 5
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- Rough Sets and Fuzzy Logic 5
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research 8
- Neural Networks and Applications 1
- Statistics and Probability top 10%
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- Face and Expression Recognition 3
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- Remote-Sensing Image Classification 1
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- Indian and Buddhist Studies 1
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- Advanced Topology and Set Theory 1
- Co-authors
- Bernard BurtschyYves LechevallierEdwin DidayFrancisco de A.T. de CarvalhoPaula BritoM. F. JanowitzNadia Essoussi
- Journals
- Neurocomputing (1 paper)Computational Statistics & Data Analysis (1 paper)Discrete Applied Mathematics (5 papers)
- Partner nations
- FranceUnited StatesPortugal
In The Last Decade
Patrice Bertrand
15 papers receiving 299 citations
Peers
Comparison fields: 5 of 100
- Signal Processing 77
- Computational Theory and Mathematics 112
- Computational Mathematics 3
- Artificial Intelligence 126
- Statistics and Probability 28
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
The 7 scholars most cited alongside Patrice Bertrand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2017 | 5 | |
| 3 | 2015 | 14 | |
| 4 | 2013 | 2 | |
| 5 | 2010 | 5 | |
| 6 | 2008 | 1 | |
| 7 | 2007 | 8 | |
| 8 | 2007 | 78 | |
| 9 | Comparaison de manuscrits sanskrits. | 2005 | 0 |
| 10 | 2004 | 15 | |
| 11 | 2003 | 18 | |
| 12 | Set systems for which each set properly intersects at most one other set - Application to pyramidal clustering | 2002 | 2 |
| 13 | 2002 | 8 | |
| 14 | 2000 | 14 | |
| 15 | 1999 | 2 | |
| 16 | 1994 | 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), Data Management and Algorithms (5 papers), Face and Expression Recognition (3 papers), Remote-Sensing Image Classification (1 paper), Indian and Buddhist Studies (1 paper), Advanced Topology and Set Theory (1 paper) and Neural Networks and Applications (1 paper). 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.