2026 Jean Dezert: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	45	7212	7002	158	155	319	8110

Overview

Jean Dezert is affiliated with the Office National d'Études et de Recherches Aérospatiales in France. Their research focuses on diverse areas within computer science and decision sciences, with a particular emphasis on artificial intelligence and operations research.

The primary fields of study that characterize Dezert's publications include:

Computer Science
Decision Sciences

Within these broader domains, the main subfields explored are:

Artificial Intelligence
Management Science and Operations Research
Computer Vision and Pattern Recognition
Computational Theory and Mathematics
Computer Networks and Communications

Dezert's work addresses several key research topics, such as:

Multi-Criteria Decision Making
Bayesian Modeling and Causal Inference
Rough Sets and Fuzzy Logic
Domain Adaptation and Few-Shot Learning
Anomaly Detection Techniques and Applications
Machine Learning and Data Classification
Context-Aware Activity Recognition Systems

Throughout their career, Dezert has contributed to multiple publications. Some recent papers include:

"Multi-source information fusion: Progress and future" (2023), published in Chinese Journal of Aeronautics
"Combination of Classifiers With Different Frames of Discernment Based on Belief Functions" (2020), published in IEEE Transactions on Fuzzy Systems
"Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks" (2020), published in IEEE Transactions on Industrial Informatics
"Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition" (2021), published in IEEE Transactions on Fuzzy Systems
"Evidential combination of augmented multi-source of information based on domain adaptation" (2020), published in Science China Information Sciences

Dezert frequently collaborates with a select group of coauthors, including:

Albena Tchamova
Xinde Li
Deqiang Han
Yilin Dong
Shuzhi Sam Ge

The venues where Dezert has been published most often reflect their research interests and include:

Chinese Journal of Aeronautics
IEEE Sensors Journal
Cybernetics and Information Technologies
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Industrial Informatics

Best Publications

Advances and Applications of DSmT for Information Fusion

F. Smarandache;J. Dezert

571
Citations
Foundations for a new theory of plausible and paradoxical reasoning

Jean Dezert

349
Citations
Advances and Applications of DSmT for Information Fusion : Collected Works

Florentin Smarandache;Jean Dezert

311
Citations
Combination of Classifiers With Optimal Weight Based on Evidential Reasoning

Zhun-Ga Liu;Quan Pan;Jean Dezert;Arnaud Martin

252
Citations
Classifier Fusion With Contextual Reliability Evaluation

Zhunga Liu;Quan Pan;Jean Dezert;Jun-Wei Han

247
Citations
Information fusion based on new proportional conflict redistribution rules

F. Smarandache;J. Dezert

223
Citations
Evidence Combination Based on Credal Belief Redistribution for Pattern Classification

Zhun-Ga Liu;Yu Liu;Jean Dezert;Fabio Cuzzolin

221
Citations
Adaptive imputation of missing values for incomplete pattern classification

Zhun-ga Liu;Quan Pan;Jean Dezert;Arnaud Martin

201
Citations
A new belief-based K-nearest neighbor classification method

Zhun-Ga Liu;Quan Pan;Jean Dezert

185
Citations
Applications and Advances of DSmT for Information Fusion

Florentin Smarandache;Jean Dezert

171
Citations
Multi-source information fusion: Progress and future

Unknown

169
Citations
Combination of sources of evidence with different discounting factors based on a new dissimilarity measure

Zhun-ga Liu;Jean Dezert;Quan Pan;Grégoire Mercier

166
Citations
Evidence Combination From an Evolutionary Game Theory Perspective

Xinyang Deng;Deqiang Han;Jean Dezert;Yong Deng

164
Citations
Credal c-means clustering method based on belief functions

Zhun-ga Liu;Quan Pan;Jean Dezert;Grégoire Mercier

151
Citations
Fusion of sources of evidence with different importances and reliabilities

F. Smarandache;J. Dezert;J.-M. Tacnet

147
Citations
Belief Interval-Based Distance Measures in the Theory of Belief Functions

Deqiang Han;Jean Dezert;Yi Yang

127
Citations
On the validity of Dempster-Shafer Theory

Jean Dezert;Pei Wang;Albena Tchamova

123
Citations
A new probabilistic transformation of belief mass assignment

J. Dezert;F. Smarandache

113
Citations
On the behavior of Dempster's rule of combination and the foundations of Dempster-Shafer Theory

Albena Tchamova;Jean Dezert

111
Citations
The SPOTIS Rank Reversal Free Method for Multi-Criteria Decision-Making Support

Jean Dezert;Albena Tchamova;Deqiang Han;Jean-Marc Tacnet

107
Citations
A New Incomplete Pattern Classification Method Based on Evidential Reasoning

Zhun-Ga Liu;Quan Pan;Gregoire Mercier;Jean Dezert

105
Citations
Proportional Conflict Redistribution Rules for Information Fusion

Florentin Smarandache;Jean Dezert

96
Citations

Frequent Co-Authors

Florentin Smarandache University of New Mexico

Quan Pan Northwestern Polytechnical University

Gregoire Mercier eXo maKina

Peter Reinartz German Aerospace Center

Kathryn B. Laskey George Mason University

Erik Blasch United States Air Force Research Laboratory

Shuzhi Sam Ge National University of Singapore

Audun Jøsang University of Oslo

Xinyang Deng Northwestern Polytechnical University

Yong Deng University of Electronic Science and Technology of China

External Links

Personal website of Jean Dezert Google Scholar page

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