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Computer Science
Mexico
2026

D-Index & Metrics

Computer Science

D-Index
100
Citations
31092
World Ranking
376
National Ranking
2

Oscar Castillo 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 Oscar Castillo 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: 1,089 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Oscar Castillo 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 Oscar Castillo 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: 100 D-Index — 97th percentile

97% 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

Overview

Oscar Castillo is affiliated with the Instituto Tecnológico de Tijuana in Mexico. Their research spans several fields including computer science, engineering, and mathematics, with a primary focus on artificial intelligence, control and systems engineering, and statistics and probability. Their subfields of study notably include artificial intelligence, control and systems engineering, computer vision and pattern recognition, and management science and operations research.

The scientist's main topics of work cover a spectrum of areas such as fuzzy logic and control systems, neural networks and applications, metaheuristic optimization algorithms research, fuzzy systems and optimization, robotic path planning algorithms, evolutionary algorithms and applications, and multi-criteria decision making.

Oscar Castillo has contributed to several peer-reviewed recent papers, including:

  • A comprehensive review on type 2 fuzzy logic applications: Past, present and future, 2020, published in Engineering Applications of Artificial Intelligence
  • Multiple Ensemble Neural Network Models with Fuzzy Response Aggregation for Predicting COVID-19 Time Series: The Case of Mexico, 2020, published in Healthcare
  • Analysis of Spatial Spread Relationships of Coronavirus (COVID-19) Pandemic in the World using Self Organizing Maps, 2020, published in Chaos Solitons & Fractals
  • RETRACTED ARTICLE: Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm, 2020, published in Soft Computing
  • Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic, 2020, published in Chaos Solitons & Fractals

The scientist frequently collaborates with several co-authors, including Patricia Melín, Fevrier Valdez, José Soria, Prometeo Cortés-Antonio, and Cinthia Peraza.

Oscar Castillo has published extensively in journals such as:

  • International Journal of Fuzzy Systems
  • Soft Computing
  • Axioms
  • Computación y Sistemas
  • Mathematics

Their book publications are predominantly with Springer Nature and Springer International Publishing, featuring titles on fuzzy logic systems, neural networks, intelligent system design, and optimization algorithms. Some notable book titles include:

  • Interval Type-3 Fuzzy Systems: Theory and Design (2022)
  • Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications (2020)
  • Modern Adaptive Fuzzy Control Systems (2022)
  • Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications (2023)
  • Data Analytics and Management (2021)
  • Hybrid Intelligent Systems (2022)
  • Neural Networks and Learning Algorithms in MATLAB (2022)

Best Publications

  • Type-2 Fuzzy Logic: Theory and Applications

    O. Castillo;P. Melin;J. Kacprzyk;W. Pedrycz

  • Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation

    M.A. Porta Garcia;Oscar Montiel;Oscar Castillo;Roberto Sepúlveda

  • A comparative study of type-1 fuzzy logic systems, interval type-2 fuzzy logic systems and generalized type-2 fuzzy logic systems in control problems

    Oscar Castillo;Leticia Amador-Angulo;Juan R. Castro;Mario Garcia-Valdez

  • Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms

    Ricardo Martínez;Oscar Castillo;Luis T. Aguilar

  • A review on the design and optimization of interval type-2 fuzzy controllers

    Oscar Castillo;Patricia Melin

  • A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks

    Juan R. Castro;Oscar Castillo;Patricia Melin;Antonio Rodríguez-Díaz

  • Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot

    Oscar Castillo;Ricardo Martínez-Marroquín;Patricia Melin;Fevrier Valdez

  • A review on interval type-2 fuzzy logic applications in intelligent control

    Oscar Castillo;Patricia Melin

  • Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic

    Roberto Sepúlveda;Oscar Castillo;Patricia Melin;Antonio Rodríguez-Díaz

  • Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic

    Patricia Melin;Claudia I. Gonzalez;Juan R. Castro;Olivia Mendoza

  • A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition

    Patricia Melin;Oscar Castillo

  • Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic

    Patricia Melin;Frumen Olivas;Oscar Castillo;Fevrier Valdez

  • An Interval Type-2 Fuzzy Logic Toolbox for Control Applications

    J.R. Castro;O. Castillo;P. Melin

  • Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with Interval Type-2 and Type-1 Fuzzy Systems

    Mauricio A. Sanchez;Oscar Castillo;Juan R. Castro

  • A comprehensive review on type 2 fuzzy logic applications: Past, present and future

    Kanika Mittal;Amita Jain;Kunwar Singh Vaisla;Oscar Castillo

  • An improved evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms

    Fevrier Valdez;Patricia Melin;Oscar Castillo

  • Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory

    O. Castillo;P. Melin

  • Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems

    Patricia Melin;Oscar Castillo

  • Type-2 fuzzy logic aggregation of multiple fuzzy controllers for airplane flight control

    Leticia Cervantes;Oscar Castillo

  • A generalized type-2 fuzzy granular approach with applications to aerospace

    Oscar Castillo;Leticia Cervantes;Jose Soria;Mauricio Sanchez

  • Studies in Computational Intelligence

    Ulises Orozco Rosas;Kenia Picos;Oscar Montiel;Oscar Castillo

  • Optimization of Interval Type-2 Fuzzy Logic Controllers for a Perturbed Autonomous Wheeled Mobile Robot Using Genetic Algorithms.

    Ricardo Martínez-Soto;Oscar Castillo;Luis T. Aguilar

Frequent Co-Authors

Patricia Melin
Patricia Melin Instituto Tecnológico de Tijuana
Fevrier Valdez
Fevrier Valdez Instituto Tecnológico de Tijuana
Juan R. Castro
Juan R. Castro Autonomous University of Baja California
Witold Pedrycz
Witold Pedrycz University of Alberta
Janusz Kacprzyk
Janusz Kacprzyk Systems Research Institute
Vladik Kreinovich
Vladik Kreinovich The University of Texas at El Paso
Krassimir T. Atanassov
Krassimir T. Atanassov Bulgarian Academy of Sciences
M. H. Fazel Zarandi
M. H. Fazel Zarandi Amirkabir University of Technology
Sławomir Zadrożny
Sławomir Zadrożny Systems Research Institute
Deepak Gupta
Deepak Gupta Maharaja Agrasen Institute of Technology (MAIT)

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