World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
9550
World Ranking
8675
National Ranking
125

Gonzalo Pajares 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 Gonzalo Pajares 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Gonzalo Pajares 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 Gonzalo Pajares 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Gonzalo Pajares is affiliated with the Complutense University of Madrid in Spain. Their research spans across the fields of Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Media Technology, and Oral Surgery.

The scientist's work covers a range of main topics, including:

  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Industrial Vision Systems and Defect Detection
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification

Gonzalo Pajares has contributed to several recent research papers, highlighting diverse applications of artificial intelligence and computer vision:

  • Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection, 2020, published in Artificial Intelligence in Medicine
  • Semantic segmentation based on Deep learning for the detection of Cyanobacterial Harmful Algal Blooms (CyanoHABs) using synthetic images, 2023, published in Applied Soft Computing
  • Filter pruning for convolutional neural networks in semantic image segmentation, 2023, published in Neural Networks
  • Artificial Intelligence Techniques for Automatic Detection of Peri-implant Marginal Bone Remodeling in Intraoral Radiographs, 2023, published in Journal of Digital Imaging
  • UAV Landing Platform Recognition Using Cognitive Computation Combining Geometric Analysis and Computer Vision Techniques, 2022, published in Cognitive Computation

The scientist frequently publishes in venues such as Applied Soft Computing, Artificial Intelligence in Medicine, Neural Networks, Journal of Digital Imaging, and Cognitive Computation.

Gonzalo Pajares has collaborated with several coauthors multiple times, which include:

  • Eva Besada-Portas
  • María J. Gómez-Silva
  • Clara I. López-González
  • Fredy Barrientos-Espillco
  • Diego Oliva

Best Publications

  • A wavelet-based image fusion tutorial

    Gonzalo Pajares;Jesús Manuel de la Cruz

  • Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)

    Gonzalo Pajares

  • Parameter identification of solar cells using artificial bee colony optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares

  • Original paper: Automatic segmentation of relevant textures in agricultural images

    M. Guijarro;G. Pajares;I. Riomoros;P. J. Herrera

  • Original paper: Real-time image processing for crop/weed discrimination in maize fields

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Maria Guijarro;Gonzalo Pajares

  • Support Vector Machines for crop/weeds identification in maize fields

    J. M. Guerrero;G. Pajares;M. Montalvo;J. Romeo

  • Automatic detection of crop rows in maize fields with high weeds pressure

    M. Montalvo;G. Pajares;J. M. Guerrero;J. Romeo

  • A computer vision approach for weeds identification through Support Vector Machines

    Alberto Tellaeche;Gonzalo Pajares;Xavier P. Burgos-Artizzu;Angela Ribeiro

  • A vision-based method for weeds identification through the Bayesian decision theory

    Alberto Tellaeche;Xavier P. Burgos-Artizzu;Gonzalo Pajares;Angela Ribeiro

  • A new vision-based approach to differential spraying in precision agriculture

    Alberto Tellaeche;Xavier P. BurgosArtizzu;Gonzalo Pajares;Angela Ribeiro

  • 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

  • Multilevel Thresholding Segmentation Based on Harmony Search Optimization

    Diego Oliva;Erik Cuevas;Gonzalo Pajares;Daniel Zaldivar

  • Automatic expert system based on images for accuracy crop row detection in maize fields

    J. M. Guerrero;M. Guijarro;M. Montalvo;J. Romeo

  • Improving weed pressure assessment using digital images from an experience-based reasoning approach

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Alberto Tellaeche;Gonzalo Pajares

  • A Hopfield Neural Network for Image Change Detection

    G. Pajares

  • Analysis of natural images processing for the extraction of agricultural elements

    Xavier P. Burgos-Artizzu;Angela Ribeiro;Alberto Tellaeche;Gonzalo Pajares

  • Automatic expert system for weeds/crops identification in images from maize fields

    M. Montalvo;J. M. Guerrero;J. Romeo;L. Emmi

  • A new Expert System for greenness identification in agricultural images

    J. Romeo;G. Pajares;M. Montalvo;J.M. Guerrero

  • Multi-UAV target search using decentralized gradient-based negotiation with expected observation

    Pablo Lanillos;Seng Keat Gan;Eva Besada-Portas;Gonzalo Pajares

Frequent Co-Authors

Angela Ribeiro
Angela Ribeiro Spanish National Research Council
Diego Oliva
Diego Oliva University of Guadalajara
Erik Cuevas
Erik Cuevas University of Guadalajara
Daniel Zaldivar
Daniel Zaldivar University of Guadalajara
Marco Pérez-Cisneros
Marco Pérez-Cisneros University of Guadalajara
Sebastián Dormido
Sebastián Dormido National University of Distance Education
Joachim Denzler
Joachim Denzler Friedrich Schiller University Jena
Salah Sukkarieh
Salah Sukkarieh University of Sydney
Raúl Rojas
Raúl Rojas Freie Universität Berlin
Francisca López-Granados
Francisca López-Granados Spanish National Research Council

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