H. Prade
Impact in
- Artificial Intelligence top 5%
- Logic, Reasoning, and Knowledge
- Bayesian Modeling and Causal Inference
- Fuzzy Logic and Control Systems
- Semantic Web and Ontologies
- AI-based Problem Solving and Planning
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- Multi-Criteria Decision Making
Papers in
-
- Logic, Reasoning, and Knowledge 5
- Fuzzy Logic and Control Systems 4
- Bayesian Modeling and Causal Inference 4
- Semantic Web and Ontologies 2
-
- Multi-Criteria Decision Making 5
- Co-authors
- Didier Dubois (2 shared papers)Laurent Ughetto (2 shared papers)Damien Dubois (1 shared paper)Didier Dubois (3 shared papers)Rudolf Kruse (1 shared paper)Alain Appriou (1 shared paper)F. Cuppens (1 shared paper)Jérôme Lang (1 shared paper)
- Journals
- International Journal of Intelligent Systems (1 paper)IEEE Transactions on Fuzzy Systems (1 paper)Soft Computing (1 paper)Lecture notes in computer science (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- FranceNetherlandsGermany
In The Last Decade
H. Prade
9 papers receiving 449 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 381
- Management Science and Operations Research 121
- Computational Theory and Mathematics 152
- Statistics and Probability 37
- Signal Processing 43
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 23 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 | 2015 | 122 | |
| 2 | 2001 | 112 | |
| 3 | 1994 | 111 | |
| 4 | 1997 | 85 | |
| 5 | 1998 | 24 | |
| 6 | 1999 | 12 | |
| 7 | 2002 | 11 | |
| 8 | 2002 | 5 | |
| 9 | 1982 | 3 |
About H. Prade
H. Prade is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Signal Processing and Statistics and Probability, having authored 9 papers that have together received 485 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Logic, Reasoning, and Knowledge (5 papers), Fuzzy Logic and Control Systems (4 papers), Bayesian Modeling and Causal Inference (4 papers), Rough Sets and Fuzzy Logic (3 papers), Semantic Web and Ontologies (2 papers), Fuzzy Systems and Optimization (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (381 citations), Management Science and Operations Research (121 citations), Computational Theory and Mathematics (152 citations), Statistics and Probability (37 citations) and Signal Processing (43 citations). H. Prade has collaborated with scholars based in France, Netherlands and Germany. Frequent co-authors include Didier Dubois, Laurent Ughetto, Damien Dubois, Didier Dubois, Rudolf Kruse, Alain Appriou, F. Cuppens, Jérôme Lang, Michel Grabisch and Philippe Besnard. Their work appears in journals such as International Journal of Intelligent Systems, IEEE Transactions on Fuzzy Systems, Soft Computing, Lecture notes in computer science and Elsevier eBooks.
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.