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Computer Science
Mexico
2026

D-Index & Metrics

Computer Science

D-Index
50
Citations
8430
World Ranking
5687
National Ranking
6

Erik Cuevas 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 Erik Cuevas 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: 309 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Erik Cuevas 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 Erik Cuevas 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: 50 D-Index — 62nd percentile

62% 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

Overview

Erik Cuevas is affiliated with the University of Guadalajara in Mexico and has a research focus primarily in computer science and engineering. Their work includes extensive contributions to artificial intelligence, computational theory and mathematics, as well as electrical and electronic engineering, with a significant publication record in these domains.

The main research fields Erik Cuevas has engaged with include:

  • Computer Science
  • Engineering

The subfields where their work is concentrated are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

The most frequent topics covered in their research are:

  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Advanced Multi-Objective Optimization Algorithms
  • Scheduling and Optimization Algorithms
  • Image Enhancement Techniques
  • Image and Signal Denoising Methods
  • Cellular Automata and Applications

Erik Cuevas has authored papers in various prominent venues. The frequent publication outlets include:

  • Mathematics
  • IEEE Access
  • Mathematics and Computers in Simulation
  • Applied Soft Computing
  • Applied Mathematical Modelling

Recent notable papers authored by or co-authored with Erik Cuevas are:

  • An agent-based model to evaluate the COVID-19 transmission risks in facilities, 2020, Computers in Biology and Medicine
  • A better balance in metaheuristic algorithms: Does it exist?, 2020, Swarm and Evolutionary Computation
  • An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation, 2021, Knowledge-Based Systems
  • AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets, 2022, Computers in Biology and Medicine
  • Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans, 2021, Applied Soft Computing

Erik Cuevas collaborates frequently with a network of co-authors, including:

  • Marco Pérez-Cisneros
  • Daniel Zaldívar
  • Alma Rodríguez
  • Héctor Escobar
  • Alberto Luque

In addition to journal publications, Erik Cuevas has contributed to academic book literature with multiple titles published primarily through Springer Nature and Morgan & Claypool Publishers. Some of these books include:

  • Metaheuristic Computation: A Performance Perspective
  • Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis
  • Recent Metaheuristic Computation Schemes in Engineering
  • Analysis and Comparison of Metaheuristics
  • New Metaheuristic Schemes: Mechanisms and Applications
  • Advanced Metaheuristics: Novel Approaches for Complex Problem Solving
  • Optimization Strategies: A Decade of Metaheuristic Algorithm Development
  • DC Motors
  • Computational Methods with MATLAB®
  • Optimization in Industrial Engineering

Best Publications

  • A swarm optimization algorithm inspired in the behavior of the social-spider

    Erik Cuevas;Miguel Cienfuegos;Daniel ZaldíVar;Marco PéRez-Cisneros

  • Parameter identification of solar cells using artificial bee colony optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares

  • A better balance in metaheuristic algorithms: Does it exist?

    Bernardo Morales-Castañeda;Daniel Zaldívar;Erik Cuevas;Fernando Fausto

  • An agent-based model to evaluate the COVID-19 transmission risks in facilities.

    Erik Cuevas

  • An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation

    Erik Cuevas;Alonso Echavarría;Marte A. Ramírez-Ortegón

  • Kalman filter for vision tracking

    Erik V. Cuevas;Daniel Zaldivar;Raúl Rojas

  • A comparison of nature inspired algorithms for multi-threshold image segmentation

    ValentıN Osuna-Enciso;Erik Cuevas;Humberto Sossa

  • Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm

    Diego Oliva;Salvador Hinojosa;Erik Cuevas;Gonzalo Pajares

  • A Multilevel Thresholding algorithm using electromagnetism optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares;Daniel Zaldivar

  • From ants to whales: metaheuristics for all tastes

    Fernando Fausto;Adolfo Reyna-Orta;Erik Cuevas;Ángel G. Andrade

  • Multilevel Thresholding Segmentation Based on Harmony Search Optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares;Daniel Zaldivar

  • A new algorithm inspired in the behavior of the social-spider for constrained optimization

    Erik Cuevas;Miguel Cienfuegos

  • A novel multi-threshold segmentation approach based on differential evolution optimization

    Erik Cuevas;Daniel Zaldivar;Marco Pérez-Cisneros

  • A global optimization algorithm inspired in the behavior of selfish herds.

    Fernando Fausto;Erik Cuevas;Arturo Valdivia;Adrián González

  • Circle detection using electro-magnetism optimization

    Erik Cuevas;Diego Oliva;Daniel Zaldivar;Marco Pérez-Cisneros

  • An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation

    Essam H. Houssein;Kashif Hussain;Laith Mohammad Abualigah;Laith Mohammad Abualigah;Mohamed E. Abd Elaziz

  • AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets

    Unknown

  • An Improved Crow Search Algorithm Applied to Energy Problems

    Primitivo Díaz;Marco Pérez-Cisneros;Erik Cuevas;Omar Avalos

  • A multi-level thresholding method for breast thermograms analysis using Dragonfly algorithm

    Margarita-Arimatea Díaz-Cortés;Noé Ortega-Sánchez;Salvador Hinojosa;Diego Oliva

  • A multi-threshold segmentation approach based on Artificial Bee Colony optimization

    Erik Cuevas;Felipe Sención;Daniel Zaldivar;Marco Pérez-Cisneros

  • Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)

    Erik Cuevas;Daniel ZaldíVar;Marco PéRez-Cisneros;Humberto Sossa

Frequent Co-Authors

Daniel Zaldivar
Daniel Zaldivar University of Guadalajara
Marco Pérez-Cisneros
Marco Pérez-Cisneros University of Guadalajara
Diego Oliva
Diego Oliva University of Guadalajara
Raúl Rojas
Raúl Rojas Freie Universität Berlin
Gonzalo Pajares
Gonzalo Pajares Complutense University of Madrid
Mohamed Abd Elaziz
Mohamed Abd Elaziz Ajman University of Science and Technology
Songfeng Lu
Songfeng Lu Huazhong University of Science and Technology
Ram Sarkar
Ram Sarkar Jadavpur University
Laith Mohammad Abualigah
Laith Mohammad Abualigah Al al-Bayt University

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