Philippe Smets
Impact in
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- Multi-Criteria Decision Making
- Artificial Intelligence top 0.2%
- Bayesian Modeling and Causal Inference
- Logic, Reasoning, and Knowledge
- Target Tracking and Data Fusion in Sensor Networks
- Fuzzy Logic and Control Systems
Papers in
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- Bayesian Modeling and Causal Inference 35
- Logic, Reasoning, and Knowledge 20
- Machine Learning and Algorithms 6
- AI-based Problem Solving and Planning 5
- Target Tracking and Data Fusion in Sensor Networks 5
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- Multi-Criteria Decision Making 29
- Co-authors
- Robert Kennes (2 shared papers)Paul Magrez (2 shared papers)Branko Ristić (5 shared papers)Thierry Denœux (1 shared paper)Khaled Mellouli (3 shared papers)Amihai Motro (1 shared paper)Kathleen L. Henebry (1 shared paper)Zied Elouedi (1 shared paper)
In The Last Decade
Philippe Smets
52 papers receiving 4.0k citations
Philippe Smets's Hit Papers
Peers
Comparison fields: 5 of 135
- Management Science and Operations Research 1.8k
- Artificial Intelligence 2.7k
- Statistics and Probability 474
- Computational Theory and Mathematics 867
- Statistics, Probability and Uncertainty 303
Countries citing papers authored by Philippe Smets
This map shows the geographic impact of Philippe Smets'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 Philippe Smets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Smets more than expected).
Fields of papers citing papers by Philippe Smets
This network shows the impact of papers produced by Philippe Smets. 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 Philippe Smets. The network helps show where Philippe Smets may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Smets, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The transferable belief model Hit paper breakdown → | 1994 | 1350 |
| 2 | 2004 | 426 | |
| 3 | 1993 | 369 | |
| 4 | 2006 | 262 | |
| 5 | 1987 | 161 | |
| 6 | 1980 | 160 | |
| 7 | 2006 | 102 | |
| 8 | 2005 | 101 | |
| 9 | 1998 | 95 | |
| 10 | 1981 | 91 | |
| 11 | The canonical decomposition of a weighted belief | 1995 | 86 |
| 12 | What is Dempster-Shafer's model? | 1994 | 83 |
| 13 | 2001 | 80 | |
| 14 | 1998 | 62 | |
| 15 | 2001 | 61 | |
| 16 | 2005 | 59 | |
| 17 | 1991 | 49 | |
| 18 | 1983 | 49 | |
| 19 | 1998 | 47 | |
| 20 | Handbook of Defeasible Reasoning and Uncertainty Management Systems | 2010 | 45 |
About Philippe Smets
Philippe Smets is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications and Computational Theory and Mathematics, having authored 56 papers that have together received 4.3k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (35 papers), Multi-Criteria Decision Making (29 papers), Logic, Reasoning, and Knowledge (20 papers), Fuzzy Systems and Optimization (7 papers), Machine Learning and Algorithms (6 papers), AI-based Problem Solving and Planning (5 papers), Rough Sets and Fuzzy Logic (5 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Artificial Intelligence (2.7k citations), Statistics and Probability (474 citations), Computational Theory and Mathematics (867 citations) and Statistics, Probability and Uncertainty (303 citations). Philippe Smets has collaborated with scholars based in Belgium, France and Australia. Frequent co-authors include Robert Kennes, Paul Magrez, Branko Ristić, Thierry Denœux, Khaled Mellouli, Amihai Motro, Kathleen L. Henebry, Zied Elouedi, Dov M. Gabbay and Paul Van Houtte. Their work appears in journals such as International Journal of Approximate Reasoning, International Journal of Intelligent Systems, Information Fusion, Fuzzy Sets and Systems and Information Sciences.
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.