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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
23740
World Ranking
3535
National Ranking
46

Javier Del Ser 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 Javier Del Ser 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: 424 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Javier Del Ser 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 Javier Del Ser 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: 58 D-Index — 75th percentile

75% 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

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Javier Del Ser is affiliated with the University of the Basque Country in Spain. Their research primarily spans the fields of Computer Science and Engineering, with considerable contributions to Artificial Intelligence and related subfields.

Their work extensively covers several specific topics within these areas, including:

  • Metaheuristic Optimization Algorithms Research
  • Anomaly Detection Techniques and Applications
  • Data Stream Mining Techniques
  • Adversarial Robustness in Machine Learning
  • Explainable Artificial Intelligence (XAI)
  • Traffic Prediction and Management Techniques
  • Advanced Neural Network Applications

Javier Del Ser has published extensively, appearing in multiple venues with a notable number of works. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Information Fusion
  • IEEE Transactions on Intelligent Transportation Systems
  • Neurocomputing
  • Future Generation Computer Systems

Among their recent papers are:

  • "Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence" (2023), published in Information Fusion
  • "Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions" (2020), published in IEEE Transactions on Intelligent Transportation Systems
  • "A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities" (2020), published in Information Fusion
  • "Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation" (2023), published in Information Fusion
  • "Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey" (2020), published in IEEE Transactions on Neural Networks and Learning Systems

The scientist frequently collaborates with other researchers in the field. Their most common co-authors include Francisco Herrera, Eneko Osaba, Khan Muhammad, Ibai Laña, and Guang Yang.

In terms of subfields, Javier Del Ser's research contributions are distributed among Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, and Building and Construction. The distribution of publications highlights a focus on AI-related areas with interdisciplinary applications.

Best Publications

  • Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

    Alejandro Barredo Arrieta;Natalia Díaz-Rodríguez;Javier Del Ser;Javier Del Ser;Adrien Bennetot;Adrien Bennetot

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

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

  • Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions

    Khan Muhammad;Amin Ullah;Jaime Lloret;Javier Del Ser

  • A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

    Sergio González;Salvador García;Javier Del Ser;Lior Rokach

  • Survey A survey on applications of the harmony search algorithm

    D. Manjarres;I. Landa-Torres;S. Gil-Lopez;J. Del Ser

  • Road Traffic Forecasting: Recent Advances and New Challenges

    Ibai Lana;Javier Del Ser;Manuel Velez;Eleni I. Vlahogianni

  • Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey

    Khan Muhammad;Salman Khan;Javier Del Ser;Victor Hugo C. de Albuquerque

  • A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

    Eneko Osaba;Esther Villar-Rodriguez;Javier Del Ser;Antonio J. Nebro

  • A Critical Review of Robustness in Power Grids Using Complex Networks Concepts

    Lucas Cuadra;Sancho Salcedo-Sanz;Javier Del Ser;Silvia Jiménez-Fernández

  • Spiking Neural Networks and online learning: An overview and perspectives

    Jesus L. Lobo;Javier Del Ser;Albert Bifet;Nikola K. Kasabov

  • Swin Transformer for Fast MRI

    Unknown

  • The Coral Reefs Optimization Algorithm: A Novel Metaheuristic for Efficiently Solving Optimization Problems

    S. Salcedo-Sanz;J. Del Ser;I. Landa-Torres;S. Gil-López

  • jMetalPy: A Python framework for multi-objective optimization with metaheuristics

    Antonio Benítez-Hidalgo;Antonio J. Nebro;José García-Nieto;Izaskun Oregi

  • Millimeter-Wave V2V Communications: Distributed Association and Beam Alignment

    Cristina Perfecto;Javier Del Ser;Mehdi Bennis

  • Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

    Andreas Holzinger;Andreas Holzinger;Matthias Dehmer;Frank Emmert-Streib;Rita Cucchiara

  • Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM

    Amin Ullah;Khan Muhammad;Javier Del Ser;Sung Wook Baik

  • Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks

    Unknown

  • A new grouping genetic algorithm for clustering problems

    L.E. Agustin-Blas;S. Salcedo-Sanz;S. Jiménez-Fernández;L. Carro-Calvo

  • Big Data for transportation and mobility: recent advances, trends and challenges

    Ana Isabel Torre-Bastida;Javier Del Ser;Javier Del Ser;Ibai Laña;Maitena Ilardia

  • A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

    Antonio LaTorre;Daniel Molina;Eneko Osaba;Javier Poyatos

  • A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection

    Eneko Osaba;Xin-She Yang;Iztok Fister;Javier Del Ser;Javier Del Ser

  • Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

    Daniel Molina;Javier Poyatos;Javier Del Ser;Javier Del Ser;Salvador García

  • Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook

    Marcus A. G. Santos;Roberto Muñoz;Rodrigo Olivares;Pedro Pedrosa Rebouças Filho

Frequent Co-Authors

Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Iztok Fister
Iztok Fister University of Maribor
David Camacho
David Camacho Technical University of Madrid
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Francisco Herrera
Francisco Herrera University of Granada
Xin-She Yang
Xin-She Yang Middlesex University
Mehdi Bennis
Mehdi Bennis University of Oulu
Antonio J. Nebro
Antonio J. Nebro University of Malaga
Eleni I. Vlahogianni
Eleni I. Vlahogianni National Technical University of Athens

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