Jean Dezert
- Artificial Intelligence top 0.5%
- Management Science and Operations Research top 0.5%
- Computational Theory and Mathematics top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Zhunga LiuQuan PanFlorentín SmarandacheDeqiang HanGrégoire MercierArnaud MartinXinde LiYi Yang
- Topics
- Multi-Criteria Decision Making (56 papers)Rough Sets and Fuzzy Logic (35 papers)Target Tracking and Data Fusion in Sensor Networks (30 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceComputational Theory and Mathematics
- Partner nations
- FranceChinaUnited States
In The Last Decade
Jean Dezert
140 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 1.9k
- Management Science and Operations Research 1.1k
- Computational Theory and Mathematics 723
- Computer Vision and Pattern Recognition 569
- Control and Systems Engineering 361
Countries citing papers authored by Jean Dezert
This map shows the geographic impact of Jean Dezert'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 Jean Dezert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Dezert more than expected).
Fields of papers citing papers by Jean Dezert
This network shows the impact of papers produced by Jean Dezert. 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 Jean Dezert. The network helps show where Jean Dezert may publish in the future.
Co-authorship network of co-authors of Jean Dezert
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Dezert. A scholar is included among the top collaborators of Jean Dezert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean Dezert. Jean Dezert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 42 | |
| 10 | 16 | |
| 11 | 5 | |
| 12 | 44 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 50 | |
| 16 | New integrated and multiscale decision-aiding framework in a context of imperfect information: application to the assessment of torrent checkdams' effectiveness. | 0 |
| 17 | 98 | |
| 18 | 0 | |
| 19 | New Fusion Rules for Solving Blackman’s Association Problem | 1 |
| 20 | 5 |
About Jean Dezert
Jean Dezert is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, having authored 151 papers that have together received 3.2k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (56 papers), Rough Sets and Fuzzy Logic (35 papers) and Target Tracking and Data Fusion in Sensor Networks (30 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Artificial Intelligence (1.9k citations) and Computational Theory and Mathematics (723 citations). Jean Dezert has collaborated with scholars based in France, China and United States. Frequent co-authors include Zhunga Liu, Quan Pan, Florentín Smarandache, Deqiang Han, Grégoire Mercier, Arnaud Martin, Xinde Li, Yi Yang, Albena Tchamova and Yu Liu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Sensors.
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.