Frédéric Pichon
Impact in
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- Multi-Criteria Decision Making
- Fuzzy and Soft Set Theory
- Artificial Intelligence top 10%
- Bayesian Modeling and Causal Inference
- Logic, Reasoning, and Knowledge
- Target Tracking and Data Fusion in Sensor Networks
Papers in
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- Multi-Criteria Decision Making 30
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- Bayesian Modeling and Causal Inference 14
- Logic, Reasoning, and Knowledge 7
- Imbalanced Data Classification Techniques 3
- Co-authors
- Thierry Denœux (10 shared papers)Didier Dubois A (2 shared papers)Éric Lefèvre (17 shared papers)David Mercier (16 shared papers)Sébastien Destercke (4 shared papers)François Delmotte (5 shared papers)Thomas Bürger (2 shared papers)Anne-Laure Jousselme (2 shared papers)
In The Last Decade
Frédéric Pichon
39 papers receiving 290 citations
Peers
Comparison fields: 5 of 35
- Management Science and Operations Research 194
- Artificial Intelligence 127
- Computational Theory and Mathematics 51
- Industrial and Manufacturing Engineering 17
- Statistics and Probability 15
Countries citing papers authored by Frédéric Pichon
This map shows the geographic impact of Frédéric Pichon'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 Frédéric Pichon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Pichon more than expected).
Fields of papers citing papers by Frédéric Pichon
This network shows the impact of papers produced by Frédéric Pichon. 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 Frédéric Pichon. The network helps show where Frédéric Pichon may publish in the future.
Co-authors
The 18 scholars most cited alongside Frédéric Pichon, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 65 | |
| 2 | 2015 | 26 | |
| 3 | 2014 | 25 | |
| 4 | 2018 | 21 | |
| 5 | 2009 | 19 | |
| 6 | 2019 | 18 | |
| 7 | 2017 | 13 | |
| 8 | Interpretation and Computation of alpha-Junctions for Combining Belief Functions | 2009 | 11 |
| 9 | 2008 | 9 | |
| 10 | 2011 | 9 | |
| 11 | Belief Functions: Canonical Decompositions and Combination Rules | 2009 | 7 |
| 12 | 2012 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2007 | 5 | |
| 17 | Managing uncertainty in conceptual graph-based soft information fusion | 2013 | 5 |
| 18 | 2018 | 5 | |
| 19 | A New Justification of the Unnormalized Dempster's Rule of Combination from the Least Commitment Principle | 2008 | 4 |
| 20 | 2017 | 3 |
About Frédéric Pichon
Frédéric Pichon is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Information Systems, having authored 43 papers that have together received 301 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (30 papers), Bayesian Modeling and Causal Inference (14 papers), Logic, Reasoning, and Knowledge (7 papers), Rough Sets and Fuzzy Logic (7 papers), Vehicle Routing Optimization Methods (4 papers), Imbalanced Data Classification Techniques (3 papers), Information Retrieval and Search Behavior (3 papers) and Complexity and Algorithms in Graphs (2 papers). The work is most often cited by research in Management Science and Operations Research (194 citations), Artificial Intelligence (127 citations), Computational Theory and Mathematics (51 citations), Industrial and Manufacturing Engineering (17 citations) and Statistics and Probability (15 citations). Frédéric Pichon has collaborated with scholars based in France, Belgium and Indonesia. Frequent co-authors include Thierry Denœux, Didier Dubois A, Éric Lefèvre, David Mercier, Sébastien Destercke, François Delmotte, Thomas Bürger, Anne-Laure Jousselme, Daniel Cosmin Porumbel and Herman Akdag. Their work appears in journals such as International Journal of Approximate Reasoning, Lecture notes in computer science, Fuzzy Sets and Systems, Annals of Operations Research and Journal of Automated Reasoning.
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.