Arnaud Martin
- Artificial Intelligence top 2%
- Management Science and Operations Research top 5%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 5%
- Co-authors
- Zhunga LiuQuan PanJean DezertKuang ZhouZuowei ZhangLaurent MauuaryDelphine CharletBoutheina Ben Yaghlane
- Topics
- Bayesian Modeling and Causal Inference (9 papers)Multi-Criteria Decision Making (7 papers)Rough Sets and Fuzzy Logic (6 papers)
In The Last Decade
Arnaud Martin
46 papers receiving 849 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 474
- Management Science and Operations Research 185
- Signal Processing 145
- Computational Theory and Mathematics 130
- Information Systems 129
Countries citing papers authored by Arnaud Martin
This map shows the geographic impact of Arnaud Martin'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 Arnaud Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnaud Martin more than expected).
Fields of papers citing papers by Arnaud Martin
This network shows the impact of papers produced by Arnaud Martin. 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 Arnaud Martin. The network helps show where Arnaud Martin may publish in the future.
Co-authorship network of co-authors of Arnaud Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Martin. A scholar is included among the top collaborators of Arnaud Martin 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 Arnaud Martin. Arnaud Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 23 | |
| 4 | 0 | |
| 5 | 30 | |
| 6 | 0 | |
| 7 | 37 | |
| 8 | 6 | |
| 9 | 30 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | Sonar image registration based on conflict from the theory of belief functions | 5 |
| 13 | Multi-view fusion based on belief functions for seabed recognition | 1 |
| 14 | Fusion for Evaluation of Image Classification in Uncertain Environments | 1 |
| 15 | Decision Support with Belief Functions Theory for Seabed Characterization | 1 |
| 16 | Une nouvelle règle de combinaison répartissant le conflit – Applications en imagerie Sonar et classification Radar | 1 |
| 17 | 14 | |
| 18 | 44 | |
| 19 | Stabilité gouvernementale et ratinalisation du régime parlementaire espagnol | 0 |
| 20 | 5 |
About Arnaud Martin
Arnaud Martin is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 51 papers that have together received 881 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Multi-Criteria Decision Making (7 papers) and Rough Sets and Fuzzy Logic (6 papers). The work is most often cited by research in Management Science and Operations Research (185 citations), Artificial Intelligence (474 citations) and Signal Processing (145 citations). Arnaud Martin has collaborated with scholars based in France, China and Tunisia. Frequent co-authors include Zhunga Liu, Quan Pan, Jean Dezert, Kuang Zhou, Zuowei Zhang, Laurent Mauuary, Delphine Charlet, Boutheina Ben Yaghlane, Andreas Arnold-Bos and Ali Khenchaf. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Expert Systems with Applications and Pattern Recognition.
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.