Mathieu Serrurier

799 total citations
17 papers, 192 citations indexed

About

Mathieu Serrurier is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Mathieu Serrurier has authored 17 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 7 papers in Management Science and Operations Research. Recurrent topics in Mathieu Serrurier's work include Logic, Reasoning, and Knowledge (8 papers), Bayesian Modeling and Causal Inference (7 papers) and Multi-Criteria Decision Making (7 papers). Mathieu Serrurier is often cited by papers focused on Logic, Reasoning, and Knowledge (8 papers), Bayesian Modeling and Causal Inference (7 papers) and Multi-Criteria Decision Making (7 papers). Mathieu Serrurier collaborates with scholars based in France, United States and Tunisia. Mathieu Serrurier's co-authors include Henri Prade, Henri Prade, Leïla Amgoud, Khaled Mellouli, Thomas Sudkamp, Didier Dubois, Gilles Richard, Sébastien Destercke, Jérôme Mengin and Franck Mamalet and has published in prestigious journals such as Information Sciences, Artificial Intelligence and Fuzzy Sets and Systems.

In The Last Decade

Mathieu Serrurier

16 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Serrurier France 9 145 52 40 28 24 17 192
M. Rifqi France 5 80 0.6× 28 0.5× 37 0.9× 16 0.6× 19 0.8× 8 129
Hei Chan United States 7 148 1.0× 22 0.4× 36 0.9× 22 0.8× 12 0.5× 12 187
Sylvie Bothorel France 3 107 0.7× 52 1.0× 81 2.0× 30 1.1× 14 0.6× 4 184
Milan Daniel Czechia 8 111 0.8× 31 0.6× 76 1.9× 10 0.4× 14 0.6× 18 157
Ana María Martínez Spain 9 191 1.3× 30 0.6× 42 1.1× 11 0.4× 52 2.2× 29 233
Steven de Rooij Netherlands 9 118 0.8× 20 0.4× 49 1.2× 25 0.9× 11 0.5× 18 162
Xianchao Xie China 8 154 1.1× 33 0.6× 33 0.8× 116 4.1× 11 0.5× 12 250
Iwan Tri Riyadi Yanto Indonesia 9 97 0.7× 81 1.6× 39 1.0× 7 0.3× 100 4.2× 42 195
Hélida Santos Brazil 9 117 0.8× 119 2.3× 164 4.1× 50 1.8× 12 0.5× 41 228

Countries citing papers authored by Mathieu Serrurier

Since Specialization
Citations

This map shows the geographic impact of Mathieu Serrurier'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 Mathieu Serrurier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Serrurier more than expected).

Fields of papers citing papers by Mathieu Serrurier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathieu Serrurier. 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 Mathieu Serrurier. The network helps show where Mathieu Serrurier may publish in the future.

Co-authorship network of co-authors of Mathieu Serrurier

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Serrurier. A scholar is included among the top collaborators of Mathieu Serrurier 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 Mathieu Serrurier. Mathieu Serrurier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Bouraoui, Zied, Antoine Cornuéjols, Thierry Denœux, et al.. (2024). Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. International Journal of Approximate Reasoning. 171. 109206–109206. 3 indexed citations
2.
3.
Richard, Gilles, et al.. (2021). Detecting Dyslexia from Audio Records: An AI Approach. 58–66. 7 indexed citations
4.
Prade, Henri, et al.. (2018). Analogical proportion-based methods for recommendation – First investigations. Fuzzy Sets and Systems. 366. 110–132. 3 indexed citations
5.
Serrurier, Mathieu & Henri Prade. (2013). An informational distance for estimating the faithfulness of a possibility distribution, viewed as a family of probability distributions, with respect to data. International Journal of Approximate Reasoning. 54(7). 919–933. 13 indexed citations
6.
Prade, Henri, et al.. (2013). Naive possibilistic classifiers for imprecise or uncertain numerical data. Fuzzy Sets and Systems. 239. 137–156. 25 indexed citations
7.
Mellouli, Khaled, et al.. (2012). Possibilistic classifiers for numerical data. Soft Computing. 17(5). 733–751. 21 indexed citations
8.
Serrurier, Mathieu & Henri Prade. (2011). Maximum-likelihood principle for possibility distributions viewed as families of probabilities. HAL (Le Centre pour la Communication Scientifique Directe). 2987–2993. 12 indexed citations
9.
Prade, Henri & Mathieu Serrurier. (2008). Bipolar version space learning. International Journal of Intelligent Systems. 23(10). 1135–1152. 8 indexed citations
10.
Serrurier, Mathieu & Henri Prade. (2007). Introducing possibilistic logic in ILP for dealing with exceptions. Artificial Intelligence. 171(16-17). 939–950. 9 indexed citations
11.
Amgoud, Leïla & Mathieu Serrurier. (2007). Arguing and explaining classifications. 1–7. 11 indexed citations
12.
Serrurier, Mathieu & Henri Prade. (2007). A general framework for imprecise regression. Proceedings of ... IEEE International Conference on Fuzzy Systems. 220. 1–6. 4 indexed citations
13.
Amgoud, Leïla & Mathieu Serrurier. (2007). Agents that argue and explain classifications. Autonomous Agents and Multi-Agent Systems. 16(2). 187–209. 26 indexed citations
14.
Serrurier, Mathieu & Henri Prade. (2007). Improving inductive logic programming by using simulated annealing. Information Sciences. 178(6). 1423–1441. 22 indexed citations
15.
Serrurier, Mathieu, Didier Dubois, Henri Prade, & Thomas Sudkamp. (2006). Learning fuzzy rules with their implication operators. Data & Knowledge Engineering. 60(1). 71–89. 19 indexed citations
16.
Serrurier, Mathieu & Henri Prade. (2006). Improving Expressivity of Inductive Logic Programming by Learning Different Kinds of Fuzzy Rules. Soft Computing. 11(5). 459–466. 7 indexed citations
17.
Serrurier, Mathieu & Henri Prade. (2005). Coping with exceptions in multiclass ILP problems using possibilistic logic. 1761–1762. 2 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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