Frédéric Saubion

976 citations
70 papers · 652 · h-index 14

Impact in

Papers in

Frédéric Saubion

64 papers receiving 630 citations

Peers

Frédéric Saubion
Comparison fields: 5 of 78
  • Computational Theory and Mathematics 219
  • Artificial Intelligence 408
  • Industrial and Manufacturing Engineering 113
  • Management Science and Operations Research 106
  • Computer Networks and Communications 183
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Kedar Dhamdhere United States
Christophe Lecoutre France
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Kiyoshi Akama Japan
Hans van Maaren Netherlands
Robert Mateescu United States
Nicolas Beldiceanu France
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Saubion

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Saubion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Saubion, 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 Frédéric Saubion Line = papers co-authored together Frédéric Saubion links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201067
2 200662
3 200851
4 202049
5 200939
6 201039
7 201825
8 201224
9
Proceedings - 2008 IEEE 11th International Conference on Computational Science and Engineering, CSE 2008
200820
10 200318
11
SegGen: a genetic algorithm for linear text segmentation
200717
12 200617
13 200416
14 201514
15 201113
16 200812
17 200711
18
GADEL: a genetic algorithm to compute default logic extensions
200010
19 201110
20 20158

About Frédéric Saubion

Frédéric Saubion is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Management Science and Operations Research and Signal Processing, having authored 70 papers that have together received 652 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (26 papers), Constraint Satisfaction and Optimization (24 papers), Evolutionary Algorithms and Applications (11 papers), Formal Methods in Verification (11 papers), Logic, Reasoning, and Knowledge (10 papers), Logic, programming, and type systems (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Scheduling and Timetabling Solutions (7 papers). The work is most often cited by research in Computational Theory and Mathematics (219 citations), Artificial Intelligence (408 citations), Industrial and Manufacturing Engineering (113 citations), Management Science and Operations Research (106 citations) and Computer Networks and Communications (183 citations). Frédéric Saubion has collaborated with scholars based in France, Chile and United Kingdom. Frequent co-authors include Frédéric Lardeux, Éric Monfroy, Jin‐Kao Hao, Youssef Hamadi, Carlos Castro, Álvaro Fialho, Marc Schoenauer, Michèle Sébag, Matthieu Basseur and Pascal Nicolas. Their work appears in journals such as Lecture notes in computer science, Applied Soft Computing, Journal of Heuristics, International Transactions in Operational Research and Discrete Mathematics & Theoretical Computer Science.

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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