Omar Ávalos
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Metaheuristic Optimization Algorithms Research 15
- Evolutionary Algorithms and Applications 8
- Neural Networks and Applications 3
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- Advanced Multi-Objective Optimization Algorithms 9
- Co-authors
- Erik Cuevas (24 shared papers)Jorge Gálvez (23 shared papers)Salvador Hinojosa (11 shared papers)Diego Oliva (9 shared papers)Gonzalo Pájares (4 shared papers)Marco Pérez‐Cisneros (7 shared papers)Daniel Zaldívar (6 shared papers)Héctor M. Becerra (1 shared paper)
In The Last Decade
Omar Ávalos
31 papers receiving 545 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 250
- Computational Theory and Mathematics 112
- Computer Vision and Pattern Recognition 123
- Media Technology 50
- Control and Systems Engineering 109
Countries citing papers authored by Omar Ávalos
This map shows the geographic impact of Omar Ávalos'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 Omar Ávalos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Ávalos more than expected).
Fields of papers citing papers by Omar Ávalos
This network shows the impact of papers produced by Omar Ávalos. 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 Omar Ávalos. The network helps show where Omar Ávalos may publish in the future.
Co-authors
The 16 scholars most cited alongside Omar Ávalos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 138 | |
| 2 | 2018 | 75 | |
| 3 | 2017 | 47 | |
| 4 | 2017 | 42 | |
| 5 | 2014 | 30 | |
| 6 | 2019 | 28 | |
| 7 | 2020 | 24 | |
| 8 | 2017 | 22 | |
| 9 | 2024 | 19 | |
| 10 | 2019 | 18 | |
| 11 | 2018 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2020 | 5 |
About Omar Ávalos
Omar Ávalos is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering, having authored 33 papers that have together received 560 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (15 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (8 papers), Neural Networks and Applications (3 papers), Scheduling and Optimization Algorithms (3 papers), Manufacturing Process and Optimization (3 papers), Medical Image Segmentation Techniques (3 papers) and Remote-Sensing Image Classification (3 papers). The work is most often cited by research in Artificial Intelligence (250 citations), Computational Theory and Mathematics (112 citations), Computer Vision and Pattern Recognition (123 citations), Media Technology (50 citations) and Control and Systems Engineering (109 citations). Omar Ávalos has collaborated with scholars based in Mexico, Spain and Ireland. Frequent co-authors include Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Diego Oliva, Gonzalo Pájares, Marco Pérez‐Cisneros, Daniel Zaldívar, Héctor M. Becerra, Jorge Gálvez and Essam H. Houssein. Their work appears in journals such as Neural Computing and Applications, Expert Systems with Applications, International Journal of Machine Learning and Cybernetics, Applied Intelligence and Energies.
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.