Omar Ávalos

865 total citations
33 papers, 560 citations indexed

About

Omar Ávalos is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Omar Ávalos has authored 33 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Omar Ávalos's work include Metaheuristic Optimization Algorithms Research (15 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). Omar Ávalos is often cited by papers focused on Metaheuristic Optimization Algorithms Research (15 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Evolutionary Algorithms and Applications (8 papers). Omar Ávalos collaborates with scholars based in Mexico, Spain and Ireland. Omar Ávalos's 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 and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Omar Ávalos

31 papers receiving 545 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Omar Ávalos Mexico 12 250 123 112 109 104 33 560
Manoj Kumar Naik India 15 371 1.5× 245 2.0× 123 1.1× 74 0.7× 95 0.9× 32 707
Sheng-Ta Hsieh Taiwan 11 312 1.2× 96 0.8× 167 1.5× 103 0.9× 77 0.7× 48 582
Bahaa El-din Helmy Egypt 8 299 1.2× 135 1.1× 75 0.7× 59 0.5× 129 1.2× 9 551
Qiang Hua China 8 236 0.9× 113 0.9× 77 0.7× 69 0.6× 81 0.8× 37 465
Chan-Cheng Liu Taiwan 12 350 1.4× 154 1.3× 157 1.4× 117 1.1× 52 0.5× 33 648
Hongyu Yang China 14 254 1.0× 140 1.1× 117 1.0× 79 0.7× 51 0.5× 57 630
Jaffar Atwan Jordan 5 405 1.6× 104 0.8× 139 1.2× 89 0.8× 106 1.0× 11 664
Shahram Mohanna Iran 9 308 1.2× 80 0.7× 99 0.9× 92 0.8× 153 1.5× 25 678
Ying Ling China 6 333 1.3× 90 0.7× 139 1.2× 97 0.9× 117 1.1× 10 554
Xing Cai China 6 326 1.3× 98 0.8× 141 1.3× 173 1.6× 116 1.1× 6 769

Countries citing papers authored by Omar Ávalos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Omar Ávalos

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Ávalos. A scholar is included among the top collaborators of Omar Ávalos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Omar Ávalos. Omar Ávalos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ávalos, Omar, et al.. (2024). An Integrated Process Planning and Scheduling problem solved from an adaptive multi-objective perspective. Journal of Manufacturing Systems. 75. 1–23. 4 indexed citations
2.
Ávalos, Omar, Jorge Gálvez, Liang Yu, et al.. (2024). Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning. Computers in Biology and Medicine. 179. 108856–108856. 2 indexed citations
3.
Oliva, Diego, et al.. (2024). Differential Evolution: A Survey on Their Operators and Variants. Archives of Computational Methods in Engineering. 32(1). 83–112. 19 indexed citations
4.
Oliva, Diego, et al.. (2024). Improving the selection of differential evolution through a quartile-based ranked operator. International Journal of Machine Learning and Cybernetics. 16(4). 2567–2602. 2 indexed citations
5.
Cuevas, Erik, et al.. (2024). Machine Learning and Metaheuristic Computation.
6.
7.
Ávalos, Omar, et al.. (2023). Improved crow search algorithm for optimal flexible manufacturing process planning. Expert Systems with Applications. 235. 121243–121243. 4 indexed citations
8.
Cuevas, Erik, et al.. (2023). Contrast Enhancement in Images by Homomorphic Filtering and Cluster-Chaotic Optimization. IEEE Access. 11. 73803–73822. 12 indexed citations
9.
Ávalos, Omar, et al.. (2022). An accurate flexible process planning using an adaptive genetic algorithm. Neural Computing and Applications. 35(9). 6435–6456. 2 indexed citations
10.
Cuevas, Erik, Omar Ávalos, & Jorge Gálvez. (2022). IIR System Identification Using Several Optimization Techniques: A Review Analysis. Studies in computational intelligence. 89–104. 7 indexed citations
11.
Ávalos, Omar. (2020). GSA for machine learning problems: A comprehensive overview. Applied Mathematical Modelling. 92. 261–280. 24 indexed citations
12.
Ávalos, Omar, Erik Cuevas, Jorge Gálvez, Essam H. Houssein, & Kashif Hussain. (2020). Comparison of Circular Symmetric Low-Pass Digital IIR Filter Design Using Evolutionary Computation Techniques. Mathematics. 8(8). 1226–1226. 5 indexed citations
13.
Cuevas, Erik, Jorge Gálvez, & Omar Ávalos. (2019). Recent Metaheuristics Algorithms for Parameter Identification. Studies in computational intelligence. 18 indexed citations
14.
Gálvez, Jorge, Erik Cuevas, Héctor M. Becerra, & Omar Ávalos. (2019). A hybrid optimization approach based on clustering and chaotic sequences. International Journal of Machine Learning and Cybernetics. 11(2). 359–401. 28 indexed citations
15.
Hinojosa, Salvador, Omar Ávalos, Diego Oliva, et al.. (2018). Unassisted thresholding based on multi-objective evolutionary algorithms. Knowledge-Based Systems. 159. 221–232. 12 indexed citations
16.
Hinojosa, Salvador, Diego Oliva, Erik Cuevas, et al.. (2017). Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Computing and Applications. 29(8). 337–337. 2 indexed citations
17.
Oliva, Diego, Salvador Hinojosa, Erik Cuevas, et al.. (2017). Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. Expert Systems with Applications. 79. 164–180. 138 indexed citations
18.
Gálvez, Jorge, Erik Cuevas, & Omar Ávalos. (2017). Flower Pollination Algorithm for Multimodal Optimization. International Journal of Computational Intelligence Systems. 10(1). 627–627. 22 indexed citations
19.
Cuevas, Erik, et al.. (2017). Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm. Applied Intelligence. 48(1). 182–203. 47 indexed citations
20.
Ávalos, Omar, Erik Cuevas, & Jorge Gálvez. (2016). Induction Motor Parameter Identification Using a Gravitational Search Algorithm. Computers. 5(2). 6–6. 11 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Manoj Kumar Naik Breakdown of academic impact, for papers by Sheng-Ta Hsieh Breakdown of academic impact, for papers by Bahaa El-din Helmy Breakdown of academic impact, for papers by Qiang Hua Breakdown of academic impact, for papers by Chan-Cheng Liu Breakdown of academic impact, for papers by Hongyu Yang Breakdown of academic impact, for papers by Jaffar Atwan Breakdown of academic impact, for papers by Shahram Mohanna Breakdown of academic impact, for papers by Ying Ling Breakdown of academic impact, for papers by Xing Cai
Rankless by CCL
2026