Jean Dezert

637 total citations
26 papers, 188 citations indexed

About

Jean Dezert is a scholar working on Artificial Intelligence, Management Science and Operations Research and Media Technology. According to data from OpenAlex, Jean Dezert has authored 26 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Management Science and Operations Research and 4 papers in Media Technology. Recurrent topics in Jean Dezert's work include Multi-Criteria Decision Making (14 papers), Bayesian Modeling and Causal Inference (7 papers) and Remote-Sensing Image Classification (4 papers). Jean Dezert is often cited by papers focused on Multi-Criteria Decision Making (14 papers), Bayesian Modeling and Causal Inference (7 papers) and Remote-Sensing Image Classification (4 papers). Jean Dezert collaborates with scholars based in France, China and Bulgaria. Jean Dezert's co-authors include Florentín Smarandache, Erik Blasch, B. Pannetier, Deqiang Han, Albena Tchamova, Anne-Laure Jousselme, Kathryn Blackmond Laskey, Paulo Costa, Hanlin Yin and Jiaojiao Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Aerospace and Electronic Systems and Natural Hazards.

In The Last Decade

Jean Dezert

26 papers receiving 180 citations

Peers

Jean Dezert
Comparison fields: 5 of 54
  • Artificial Intelligence 97
  • Management Science and Operations Research 55
  • Aerospace Engineering 31
  • Computer Networks and Communications 26
  • Computer Vision and Pattern Recognition 25
Replace Jianming Ye with:
Jianming Ye China
Albena Tchamova Bulgaria
Linqing Huang China
Alain Appriou France
Andres Méndez-Vázquez Mexico
Pan Yin United States
T. Krishnan India
Yingbiao Ling China
Jianming Ye China View profile →
Citations per field, relative to Jean Dezert
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Citations per year, relative to Jean Dezert
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Countries citing papers authored by Jean Dezert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# Work Indexed citations
1 4
2
Advances and Applications of DSmT for Information Fusion : Collected Works
29
3
Simplification de l'aide à la décision multicritère en utilisant l'analyse inter-critère et les fonctions de croyance
4
4 3
5 2
6 33
7 6
8 5
9 3
10 1
11 1
12 4
13 1
14 20
15 15
16 8
17 4
18
Application of DSmT for Land Cover Change Prediction
2
19 8
20 15

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.

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