Matthieu Basseur

1.1k citations
37 papers · 829 · h-index 18

Impact in

Papers in

Matthieu Basseur

36 papers receiving 801 citations

Peers

Matthieu Basseur
Comparison fields: 5 of 66
  • Industrial and Manufacturing Engineering 364
  • Computational Theory and Mathematics 429
  • Artificial Intelligence 400
  • Management Science and Operations Research 104
  • Statistics, Probability and Uncertainty 44
Replace Thibaut Lust with:
Thibaut Lust France
Arnaud Liefooghe France
Zonghao Gu United States
Kim Allan Andersen Denmark
Gerald Gamrath Germany
Abel García-Nájera Mexico
Arnaud Fréville France
Yu Setoguchi Japan
André A. Ciré Canada
Matthieu Basseur relative to Thibaut Lust France Thibaut Lust's profile →
Citations per field
00.5×2.6×
Thibaut Lust · 1×
Citations per year

Countries citing papers authored by Matthieu Basseur

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Basseur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Matthieu Basseur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthieu Basseur Line = papers co-authored together Matthieu Basseur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008183
2 201171
3 200668
4 200756
5 200351
6 200738
7 200637
8 201129
9 200527
10 200727
11 201126
12 201825
13
Adaptive mechanisms for multi-objective evolutionary algorithms
200324
14 201521
15 200621
16 201618
17 201217
18 200417
19 201313
20 201613

About Matthieu Basseur

Matthieu Basseur is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Control and Systems Engineering and Management Science and Operations Research, having authored 37 papers that have together received 829 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (25 papers), Advanced Multi-Objective Optimization Algorithms (25 papers), Scheduling and Optimization Algorithms (12 papers), Evolutionary Algorithms and Applications (9 papers), Advanced Control Systems Optimization (6 papers), Artificial Intelligence in Games (4 papers), Vehicle Routing Optimization Methods (4 papers) and Optimization and Packing Problems (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (364 citations), Computational Theory and Mathematics (429 citations), Artificial Intelligence (400 citations), Management Science and Operations Research (104 citations) and Statistics, Probability and Uncertainty (44 citations). Matthieu Basseur has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Laëtitia Jourdan, El‐Ghazali Talbi, Arnaud Liefooghe, Edmund Burke, Adrien Goëffon, Eckart Zitzler, Antonio J. Nebro, Enrique Alba, Jin‐Kao Hao and El‐Ghazali Talbi. Their work appears in journals such as Applied Soft Computing, International Transactions in Operational Research, Lecture notes in computer science, Expert Systems with Applications and Journal of Heuristics.

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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