Benoît Vaillant
Impact in
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- Rough Sets and Fuzzy Logic
- Information Systems top 10%
- Data Mining Algorithms and Applications
Papers in
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- Data Mining Algorithms and Applications 3
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- Imbalanced Data Classification Techniques 2
- Machine Learning and Data Classification 2
- Anomaly Detection Techniques and Applications 2
- Fuzzy Logic and Control Systems 1
- Co-authors
- Stéphane Lallich (5 shared papers)Philippe Lenca (5 shared papers)Patrick Meyer (1 shared paper)
- Journals
- European Journal of Operational Research (1 paper)Methodology And Computing In Applied Probability (1 paper)Communication in Statistics- Theory and Methods (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- FranceLuxembourg
In The Last Decade
Benoît Vaillant
4 papers receiving 116 citations
Peers
Comparison fields: 5 of 37
- Computational Theory and Mathematics 78
- Information Systems 94
- Signal Processing 26
- Artificial Intelligence 70
- Management Science and Operations Research 9
Countries citing papers authored by Benoît Vaillant
This map shows the geographic impact of Benoît Vaillant'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 Benoît Vaillant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Vaillant more than expected).
Fields of papers citing papers by Benoît Vaillant
This network shows the impact of papers produced by Benoît Vaillant. 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 Benoît Vaillant. The network helps show where Benoît Vaillant may publish in the future.
Co-authors
The 3 scholars most cited alongside Benoît Vaillant, 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 | 2007 | 110 | |
| 2 | 2007 | 8 | |
| 3 | 2010 | 6 | |
| 4 | 2006 | 3 | |
| 5 | Construction of an off-centered entropy for the supervised learning of imbalanced classes: some first results | 2010 | 1 |
About Benoît Vaillant
Benoît Vaillant is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research and Infectious Diseases, having authored 5 papers that have together received 128 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (3 papers), Rough Sets and Fuzzy Logic (3 papers), Imbalanced Data Classification Techniques (2 papers), Machine Learning and Data Classification (2 papers), Anomaly Detection Techniques and Applications (2 papers), Fuzzy Logic and Control Systems (1 paper) and Multi-Criteria Decision Making (1 paper). The work is most often cited by research in Computational Theory and Mathematics (78 citations), Information Systems (94 citations), Signal Processing (26 citations), Artificial Intelligence (70 citations) and Management Science and Operations Research (9 citations). Benoît Vaillant has collaborated with scholars based in France and Luxembourg. Frequent co-authors include Stéphane Lallich, Philippe Lenca and Patrick Meyer. Their work appears in journals such as European Journal of Operational Research, Methodology And Computing In Applied Probability, Communication in Statistics- Theory and Methods and HAL (Le Centre pour la Communication Scientifique Directe).
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.