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Carlos A. Coello Coello

Carlos A. Coello Coello

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Computer Science
Mexico
2026

D-Index & Metrics

Computer Science

D-Index
104
Citations
67853
World Ranking
297
National Ranking
1

Carlos A. Coello Coello publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Carlos A. Coello Coello sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 659 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Carlos A. Coello Coello D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Carlos A. Coello Coello sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 104 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Mexico Leader Award
  • 2025 - Research.com Computer Science in Mexico Leader Award
  • 2023 - Research.com Computer Science in Mexico Leader Award
  • 2022 - Research.com Computer Science in Mexico Leader Award
  • 2013 - IEEE Kiyo Tomiyasu Award “For pioneering contributions to single and multiobjective optimization techniques using bioinspired metaheuristics.”
  • 2011 - IEEE Fellow For contributions to multi-objective optimization and constraint-handling techniques

Overview

Carlos A. Coello Coello is affiliated with CINVESTAV in Mexico. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Industrial and Manufacturing Engineering, and Electrical and Electronic Engineering.

Their research work extensively covers topics such as Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications, Optimal Experimental Design Methods, Scheduling and Optimization Algorithms, Machine Learning and Data Classification, and Vehicle Routing Optimization Methods.

Frequent coauthors collaborating with Carlos A. Coello Coello include Qiuzhen Lin, Hussein A. Abbass, Georgios N. Yannakakis, Yongduan Song, and Jesús Guillermo Falcón-Cardona.

They have published in a variety of venues, with notable contributions appearing in:

  • IEEE Computational Intelligence Magazine
  • Swarm and Evolutionary Computation
  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • IEEE Transactions on Cybernetics

Some recent papers authored or coauthored by Carlos A. Coello Coello include:

  • "A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems," 2021, Swarm and Evolutionary Computation
  • "Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces," 2020, IEEE Transactions on Evolutionary Computation
  • "Indicator-based Multi-objective Evolutionary Algorithms," 2020, ACM Computing Surveys
  • "Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing," 2022, Knowledge-Based Systems
  • "An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization," 2021, IEEE Transactions on Evolutionary Computation

Carlos A. Coello Coello has also contributed to book publications including works published by Springer International Publishing and Springer Science+Business Media. Titles include "Advances in Data-Driven Computing and Intelligent Systems" (2023 and 2024) and "Innovations in Intelligent Computing and Communication" (2022).

They have received recognitions such as the IEEE Kiyo Tomiyasu Award in 2013 for pioneering contributions to single and multiobjective optimization techniques using bioinspired metaheuristics. Additionally, they were named IEEE Fellow in 2011 for contributions to multi-objective optimization and constraint-handling techniques.

Best Publications

  • Evolutionary Algorithms for Solving Multi-Objective Problems

    Unknown

  • Handling multiple objectives with particle swarm optimization

    C.A.C. Coello;G.T. Pulido;M.S. Lechuga

  • MOPSO: a proposal for multiple objective particle swarm optimization

    C.A. Coello Coello;M.S. Lechuga

  • THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART

    Carlos A Coello Coello

  • Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

    Carlos A. Coello Coello;Gary B. Lamont;David A. Van Veldhuizen

  • A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques

    Carlos A. Coello Coello

  • Evolutionary multi-objective optimization: a historical view of the field

    C.A. Coello Coello

  • Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art

    Unknown

  • Use of a self-adaptive penalty approach for engineering optimization problems

    Carlos A. Coello Coello

  • Constraint-Handling in Nature-Inspired Numerical Optimization: Past, Present and Future

    Efrén Mezura-Montes;Carlos A. Coello Coello

  • Solving Multiobjective Optimization Problems Using an Artificial Immune System

    Carlos A. Coello;Nareli Cruz Cortés

  • An updated survey of GA-based multiobjective optimization techniques

    Carlos A. Coello

  • Constraint-handling in genetic algorithms through the use of dominance-based tournament selection

    Carlos A. Coello Coello;Efrén Mezura Montes

  • Improving PSO-Based multi-objective optimization using crowding, mutation and ∈-dominance

    Margarita Reyes Sierra;Carlos A. Coello Coello

  • Applications of Multi-Objective Evolutionary Algorithms

    Carlos A. Coello Coello;Gary B. Lamont

  • SMPSO: A new PSO-based metaheuristic for multi-objective optimization

    A.J. Nebro;J.J. Durillo;J. Garcia-Nieto;C.A. Coello Coello

  • A simple multimembered evolution strategy to solve constrained optimization problems

    E. Mezura-Montes;C.A.C. Coello

  • A comparative study of differential evolution variants for global optimization

    Efrñn Mezura-Montes;Jesús Velázquez-Reyes;Carlos A. Coello Coello

  • Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization

    J. J. Liang;Thomas Philip Runarsson;Efren Mezura-Montes;Maurice Clerc

  • A Micro-Genetic Algorithm for Multiobjective Optimization

    Carlos A. Coello Coello;Gregorio Toscano Pulido

  • Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization

    O. Schutze;X. Esquivel;A. Lara;C. A. C. Coello

  • Bio-inspired computation: Where we stand and what's next

    Javier Del Ser;Javier Del Ser;Eneko Osaba;Daniel Molina;Xin-She Yang

Frequent Co-Authors

Qiuzhen Lin
Qiuzhen Lin Shenzhen University
Antonio J. Nebro
Antonio J. Nebro University of Malaga
El-Ghazali Talbi
El-Ghazali Talbi University of Lille
Saber M. Elsayed
Saber M. Elsayed University of New South Wales
Juan J. Durillo
Juan J. Durillo Leibniz Supercomputing Centre
Ruhul A. Sarker
Ruhul A. Sarker University of New South Wales
Enrique Alba
Enrique Alba University of Malaga
Jianqiang Li
Jianqiang Li Beijing University of Technology
Swagatam Das
Swagatam Das Indian Statistical Institute
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics

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