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
- Fuzzy Logic and Control Systems 2
- Bayesian Modeling and Causal Inference 2
- Natural Language Processing Techniques 1
- Neural Networks and Applications 1
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- Rough Sets and Fuzzy Logic 2
- Co-authors
- Laurent Ughetto (1 shared paper)Damien Dubois (1 shared paper)Didier Dubois (1 shared paper)Roger Cooke (1 shared paper)Michel Grabisch (1 shared paper)Serafı́n Moral (1 shared paper)Anthony Hunter (1 shared paper)Isabelle Bloch (1 shared paper)
- Journals
- International Journal of Intelligent Systems (1 paper)Soft Computing (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
- FranceNetherlandsGermany
In The Last Decade
H. Prade
5 papers receiving 225 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 200
- Management Science and Operations Research 65
- Computational Theory and Mathematics 71
- 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 | 72 | |
| 3 | 1997 | 67 | |
| 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 253 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (3 papers), Fuzzy Logic and Control Systems (2 papers), Multi-Criteria Decision Making (2 papers), Bayesian Modeling and Causal Inference (2 papers), Rough Sets and Fuzzy Logic (2 papers), Data Management and Algorithms (1 paper), Natural Language Processing Techniques (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (200 citations), Management Science and Operations Research (65 citations), Computational Theory and Mathematics (71 citations), Signal Processing (22 citations) and Statistics and Probability (16 citations). H. Prade has collaborated with scholars based in France, Netherlands and Germany. Frequent co-authors include Laurent Ughetto, Damien Dubois, Didier Dubois, Roger Cooke, Michel Grabisch, Serafı́n Moral, Anthony Hunter, Isabelle Bloch, Alain Appriou and Salem Benferhat. Their work appears in journals such as International Journal of Intelligent Systems, Soft Computing, 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.