Jean Dezert

5.9k total citations
151 papers, 3.2k citations indexed

About

Jean Dezert is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Jean Dezert has authored 151 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Artificial Intelligence, 56 papers in Management Science and Operations Research and 38 papers in Computational Theory and Mathematics. Recurrent topics in Jean Dezert's 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). Jean Dezert is often cited by papers focused on Multi-Criteria Decision Making (56 papers), Rough Sets and Fuzzy Logic (35 papers) and Target Tracking and Data Fusion in Sensor Networks (30 papers). Jean Dezert collaborates with scholars based in France, China and United States. Jean Dezert's co-authors include Zhunga Liu, Quan Pan, Florentín Smarandache, Deqiang Han, Grégoire Mercier, Arnaud Martin, Xinde Li, Yi Yang, Albena Tchamova and Yu Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Sensors.

In The Last Decade

Jean Dezert

140 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean Dezert France 31 1.9k 1.1k 723 569 361 151 3.2k
Zhunga Liu China 31 1.7k 0.9× 719 0.7× 558 0.8× 530 0.9× 302 0.8× 124 3.0k
Xinyang Deng China 32 1.2k 0.6× 1.4k 1.3× 515 0.7× 290 0.5× 472 1.3× 108 3.1k
Philippe Smets Belgium 29 2.7k 1.4× 1.8k 1.6× 871 1.2× 380 0.7× 356 1.0× 54 4.3k
Éloi Bossé Canada 24 1.4k 0.7× 732 0.7× 333 0.5× 281 0.5× 323 0.9× 118 2.5k
Yafei Song China 26 1.1k 0.6× 963 0.9× 430 0.6× 210 0.4× 330 0.9× 138 2.2k
Wen Jiang China 42 2.0k 1.0× 2.3k 2.1× 908 1.3× 522 0.9× 906 2.5× 181 5.1k
Deyun Zhou China 29 1.0k 0.5× 543 0.5× 386 0.5× 456 0.8× 419 1.2× 205 3.0k
Huawen Liu China 32 1.4k 0.7× 1.7k 1.6× 1.2k 1.6× 473 0.8× 499 1.4× 170 3.7k
Bingyi Kang China 24 813 0.4× 1.0k 0.9× 361 0.5× 320 0.6× 348 1.0× 92 2.2k
Anne-Laure Jousselme Canada 16 1.1k 0.6× 746 0.7× 335 0.5× 152 0.3× 178 0.5× 83 1.9k

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
1.
Li, Xinde, et al.. (2024). Evidence combination with multi-granularity belief structure for pattern classification. Information Sciences. 690. 121577–121577. 2 indexed citations
2.
3.
Han, Deqiang, et al.. (2024). Basic Belief Assignment Determination Based on Radial Basis Function Network. 1(3). 175–182. 1 indexed citations
4.
Zhang, Shixing, Deqiang Han, Jean Dezert, & Yi Yang. (2024). Weighted Self-Paced Learning with Belief Functions. Expert Systems with Applications. 255. 124535–124535. 3 indexed citations
5.
Li, Xinde, et al.. (2023). Graph-Structure-Based Multigranular Belief Fusion for Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13589–13603. 6 indexed citations
6.
Li, Xinde, et al.. (2023). Combination of Different-Granularity Beliefs for Sensor-Based Human Activity Recognition. IEEE Sensors Journal. 23(11). 12309–12319. 9 indexed citations
7.
Dezert, Jean & Albena Tchamova. (2023). Involutory Negator of Basic Belief Assignments. Cybernetics and Information Technologies. 23(3). 3–22. 1 indexed citations
8.
Li, Xinde, Jean Dezert, Ri‐Gui Zhou, et al.. (2022). Multisource Weighted Domain Adaptation With Evidential Reasoning for Activity Recognition. IEEE Transactions on Industrial Informatics. 19(4). 5530–5542. 21 indexed citations
9.
Li, Xinde, Jean Dezert, Ri‐Gui Zhou, et al.. (2021). Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition. IEEE Transactions on Fuzzy Systems. 29(12). 3607–3619. 42 indexed citations
10.
Fan, Xiaojing, Deqiang Han, Yi Yang, & Jean Dezert. (2021). De-combination of belief function based on optimization. Chinese Journal of Aeronautics. 35(5). 179–193. 16 indexed citations
11.
Li, Xinde, et al.. (2021). Multi-Criteria Analysis of Sensor Reliability for Wearable Human Activity Recognition. IEEE Sensors Journal. 21(17). 19144–19156. 5 indexed citations
12.
Li, Xinde, et al.. (2020). Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks. IEEE Transactions on Industrial Informatics. 16(11). 7138–7149. 44 indexed citations
13.
Han, Deqiang, et al.. (2019). A New Image Registration Algorithm Based on Evidential Reasoning. Sensors. 19(5). 1091–1091. 7 indexed citations
14.
Li, Xinde, et al.. (2019). A Novel Multi-Criteria Discounting Combination Approach for Multi-Sensor Fusion. IEEE Sensors Journal. 19(20). 9411–9421. 5 indexed citations
15.
Han, Deqiang, et al.. (2018). A new adaptive switching median filter for impulse noise reduction with pre-detection based on evidential reasoning. Signal Processing. 147. 173–189. 50 indexed citations
16.
Tacnet, Jean‐Marc, et al.. (2017). New integrated and multiscale decision-aiding framework in a context of imperfect information: application to the assessment of torrent checkdams' effectiveness.. EGUGA. 4440.
17.
Han, Deqiang, Jean Dezert, & Yi Yang. (2016). Belief Interval-Based Distance Measures in the Theory of Belief Functions. IEEE Transactions on Systems Man and Cybernetics Systems. 48(6). 833–850. 98 indexed citations
18.
Dezert, Jean, et al.. (2015). Performance Еvaluation of Тracking Аlgorithm Incorporating Attribute Data Processing via DSmT. Zenodo (CERN European Organization for Nuclear Research).
19.
Tchamova, Albena, Jean Dezert, & Florentín Smarandache. (2009). New Fusion Rules for Solving Blackman’s Association Problem. viXra. 1 indexed citations
20.
Dezert, Jean. (2002). Combination of paradoxical sources of information within the neutrosophic framework. Organic Letters. 10(14). 22–49. 5 indexed citations

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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