Frédéric Gruau

894 citations
21 papers · 476 indexed · h-index 8

Frédéric Gruau

20 papers receiving 416 citations

Peers

Frédéric Gruau
Comparison fields: 5 of 59
  • Artificial Intelligence 380
  • Computational Theory and Mathematics 70
  • Mechanical Engineering 82
  • Software 7
  • Aging 3
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Simon L. Harding United Kingdom
Wojciech Jaśkowski Poland
Konstantinos Chatzilygeroudis Greece
Isamu Kajitani Japan
A.M. Tyrrell United Kingdom
Shoichi Noda Japan
Jimmy Secretan United States
Andrés Upegui Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Gruau

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Gruau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Frédéric Gruau, 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 Gruau Line = papers co-authored together Frédéric Gruau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20111
2 20090
3 20083
4 20081
5 20077
6 20073
7 20041
8 20047
9 20022
10 200144
11 20003
12
Cellular Encoding Applied to Neurocontrol
199523
13 199517
14 1994168
15
A learning and pruning algorithm for genetic Boolean neural networks.
19932
16
Genetic Synthesis of Modular Neural Networks
199354
17
Cellular encoding as a graph grammar
19938
18 1993126
19
The Mixed Parallel Genetic Algorithm.
19932
20
A 2D toroidal systolic array for the knapsack problem
19923

About Frédéric Gruau

Frédéric Gruau is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Artificial Intelligence, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 476 indexed citations. Recurring topics across this work include Cellular Automata and Applications (7 papers), Modular Robots and Swarm Intelligence (6 papers), DNA and Biological Computing (3 papers), Computational Geometry and Mesh Generation (3 papers), Neural Networks and Applications (3 papers), Evolutionary Algorithms and Applications (3 papers), Optimization and Search Problems (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Artificial Intelligence (380 citations), Computational Theory and Mathematics (70 citations), Mechanical Engineering (82 citations), Software (7 citations) and Aging (3 citations). Frédéric Gruau has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Darrell Whitley, L. Darrell Whitley, Larry D. Pyeatt, Rumen Andonov, Christine Eisenbeis, John Tromp, Olivier Temam, Jean‐Louis Giavitto and André DeHon. Their work appears in journals such as Physica D Nonlinear Phenomena, Theoretical Computer Science, Evolutionary Computation, ACM Transactions on Autonomous and Adaptive Systems and Adaptive Behavior.

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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