Éric Lefèvre
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- Target Tracking and Data Fusion in Sensor Networks
- Anomaly Detection Techniques and Applications
Papers in
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- Bayesian Modeling and Causal Inference 9
- Anomaly Detection Techniques and Applications 4
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- Multi-Criteria Decision Making 12
- Co-authors
- P. Vannoorenberghe (4 shared papers)Olivier Colot (4 shared papers)Zied Elouedi (13 shared papers)David Mercier (18 shared papers)Raphaël Romary (6 shared papers)Rémus Pusca (6 shared papers)François Delmotte (5 shared papers)Nour‐Eddin El Faouzi (1 shared paper)
In The Last Decade
Éric Lefèvre
43 papers receiving 896 citations
Peers
Comparison fields: 5 of 102
- Management Science and Operations Research 258
- Artificial Intelligence 443
- Computational Theory and Mathematics 158
- Control and Systems Engineering 214
- Statistics, Probability and Uncertainty 53
Countries citing papers authored by Éric Lefèvre
This map shows the geographic impact of Éric Lefèvre'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 Éric Lefèvre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Lefèvre more than expected).
Fields of papers citing papers by Éric Lefèvre
This network shows the impact of papers produced by Éric Lefèvre. 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 Éric Lefèvre. The network helps show where Éric Lefèvre may publish in the future.
Co-authors
The 21 scholars most cited alongside Éric Lefèvre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 347 | |
| 2 | 2017 | 74 | |
| 3 | 2013 | 73 | |
| 4 | 2018 | 61 | |
| 5 | 2019 | 44 | |
| 6 | 2011 | 29 | |
| 7 | 2006 | 29 | |
| 8 | 2000 | 26 | |
| 9 | 2009 | 26 | |
| 10 | 2015 | 20 | |
| 11 | 2018 | 20 | |
| 12 | 2014 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2011 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2016 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2021 | 8 |
About Éric Lefèvre
Éric Lefèvre is a scholar working on Artificial Intelligence, Management Science and Operations Research, Control and Systems Engineering, Computational Theory and Mathematics and Mechanical Engineering, having authored 47 papers that have together received 942 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (12 papers), Bayesian Modeling and Causal Inference (9 papers), Rough Sets and Fuzzy Logic (9 papers), Machine Fault Diagnosis Techniques (6 papers), Non-Destructive Testing Techniques (6 papers), Fault Detection and Control Systems (6 papers), Data Mining Algorithms and Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Management Science and Operations Research (258 citations), Artificial Intelligence (443 citations), Computational Theory and Mathematics (158 citations), Control and Systems Engineering (214 citations) and Statistics, Probability and Uncertainty (53 citations). Éric Lefèvre has collaborated with scholars based in France and Tunisia. Frequent co-authors include P. Vannoorenberghe, Olivier Colot, Zied Elouedi, David Mercier, Raphaël Romary, Rémus Pusca, François Delmotte, Nour‐Eddin El Faouzi, Cristian Demian and Daniel Jolly. Their work appears in journals such as International Journal of Approximate Reasoning, Information Fusion, Information Sciences, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Soft Computing.
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.