Edgar Galván

3.0k citations
62 papers · 856 · h-index 16

Impact in

Papers in

Edgar Galván

58 papers receiving 825 citations

Peers

Edgar Galván
Comparison fields: 5 of 92
  • Artificial Intelligence 610
  • Computational Theory and Mathematics 119
  • Software 18
  • Computer Vision and Pattern Recognition 75
  • Management Science and Operations Research 37
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David André United States
Erik Hemberg United States
James McDermott Ireland
Gabriel Luque Spain
Katherine M. Malan South Africa
Ester Bernadó-Mansilla Spain
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Peter Vrancx Belgium
Masoud Mohammadian Australia
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Citations per year

Countries citing papers authored by Edgar Galván

Since Specialization
Citations

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

Fields of papers citing papers by Edgar Galván

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010163
2 2020109
3 201538
4 201432
5 201332
6 201128
7 202327
8 201126
9 201322
10 200621
11 201220
12 201418
13 201018
14 202317
15 201316
16 201415
17 200915
18 201415
19 202214
20 201514

About Edgar Galván

Edgar Galván is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Genetics and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 856 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (33 papers), Metaheuristic Optimization Algorithms Research (28 papers), Reinforcement Learning in Robotics (13 papers), Smart Grid Energy Management (10 papers), Evolution and Genetic Dynamics (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Artificial Intelligence in Games (7 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Artificial Intelligence (610 citations), Computational Theory and Mathematics (119 citations), Software (18 citations), Computer Vision and Pattern Recognition (75 citations) and Management Science and Operations Research (37 citations). Edgar Galván has collaborated with scholars based in Ireland, Mexico and United Kingdom. Frequent co-authors include Michael O’Neill, Peter Mooney, Nguyen Quang Uy, Bob McKay, Nguyễn Xuân Hoài, Leonardo Trujillo, Riccardo Poli, Ahmed Kattan, Anthony Brabazon and Vinny Cahill. Their work appears in journals such as Information Sciences, Genetic Programming and Evolvable Machines, Applied Soft Computing, Soft Computing and Ecological Informatics.

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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