H. Prade
Impact in
- Artificial Intelligence top 10%
- Logic, Reasoning, and Knowledge
- Fuzzy Logic and Control Systems
- Bayesian Modeling and Causal Inference
- Semantic Web and Ontologies
- AI-based Problem Solving and Planning
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- Multi-Criteria Decision Making
Papers in
-
- Logic, Reasoning, and Knowledge 3
- Bayesian Modeling and Causal Inference 2
- Fuzzy Logic and Control Systems 2
- Natural Language Processing Techniques 1
- Semantic Web and Ontologies 1
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- Rough Sets and Fuzzy Logic 2
- Co-authors
- Damien Dubois (1 shared paper)Laurent Ughetto (1 shared paper)Didier Dubois (1 shared paper)Salem Benferhat (1 shared paper)Hélène Fargier (1 shared paper)P. Smets (1 shared paper)Roger Cooke (1 shared paper)Anthony Hunter (1 shared paper)
- Journals
- Soft Computing (1 paper)International Journal of Intelligent Systems (1 paper)IEEE Transactions on Fuzzy Systems (1 paper)IEEE Transactions on Systems Man and Cybernetics (1 paper)Proceedings of 6th International Fuzzy Systems Conference (1 paper)
- Partner nations
- FranceNetherlandsSweden
In The Last Decade
H. Prade
5 papers receiving 223 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 199
- Management Science and Operations Research 65
- Computational Theory and Mathematics 70
- Signal Processing 22
- Statistics and Probability 16
Countries citing papers authored by H. Prade
This map shows the geographic impact of H. Prade'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 H. Prade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Prade more than expected).
Fields of papers citing papers by H. Prade
This network shows the impact of papers produced by H. Prade. 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 H. Prade. The network helps show where H. Prade may publish in the future.
Co-authors
The 20 scholars most cited alongside H. Prade, 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 | 2001 | 85 | |
| 2 | 1994 | 71 | |
| 3 | 1997 | 66 | |
| 4 | 1998 | 20 | |
| 5 | 2002 | 9 |
About H. Prade
H. Prade is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Signal Processing and Infectious Diseases, having authored 5 papers that have together received 251 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (3 papers), Rough Sets and Fuzzy Logic (2 papers), Bayesian Modeling and Causal Inference (2 papers), Multi-Criteria Decision Making (2 papers), Fuzzy Logic and Control Systems (2 papers), Data Management and Algorithms (1 paper), Natural Language Processing Techniques (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (199 citations), Management Science and Operations Research (65 citations), Computational Theory and Mathematics (70 citations), Signal Processing (22 citations) and Statistics and Probability (16 citations). H. Prade has collaborated with scholars based in France, Netherlands and Sweden. Frequent co-authors include Damien Dubois, Laurent Ughetto, Didier Dubois, Salem Benferhat, Hélène Fargier, Didier Dubois, P. Smets, Roger Cooke, Anthony Hunter and Alessandro Saffiotti. Their work appears in journals such as Soft Computing, International Journal of Intelligent Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems Man and Cybernetics and Proceedings of 6th International Fuzzy Systems Conference.
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.