World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
11631
World Ranking
6101
National Ranking
1

Fabio A. González 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 Fabio A. González 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: 257 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Fabio A. González 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 Fabio A. González 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Fabio A. González is affiliated with the National University of Colombia in Colombia. Their research spans multiple areas within computer science and medicine, focusing primarily on artificial intelligence and its applications in healthcare and imaging.

The scientist has contributed extensively to the fields of study including:

  • Computer Science
  • Medicine

Within these main fields, their work covers subfields such as:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Ophthalmology
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

The main research topics addressed by Fabio A. González include:

  • Retinal Imaging and Analysis
  • Anomaly Detection Techniques and Applications
  • Quantum Computing Algorithms and Architecture
  • Gaussian Processes and Bayesian Inference
  • Quantum Information and Cryptography
  • Retinal Diseases and Treatments
  • Neural Networks and Applications

Fabio's recent papers feature a range of applications in AI and medical imaging, highlighting both methodological advances and domain-specific implementations. Notable works include:

  • "Gated multimodal networks," 2020, Neural Computing and Applications
  • "FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare," 2023, arXiv (Cornell University)
  • "Grading diabetic retinopathy and prostate cancer diagnostic images with deep quantum ordinal regression," 2022, Computers in Biology and Medicine
  • "Deep Learning Ensemble Model for the Prediction of Traffic Accidents Using Social Media Data," 2022, Computers
  • "Automatic Grading Tool for Jupyter Notebooks in Artificial Intelligence Courses," 2021, Sustainability

Frequent coauthors in Fabio's research collaborations are:

  • Joseph A. Gallego-Mejia (21 publications)
  • Raúl Ramos-Pollán (12 publications)
  • Vladimir Vargas-Calderón (11 publications)
  • Santiago Toledo-Cortés (10 publications)
  • Diego H. Useche (8 publications)

The scientist's publications have appeared repeatedly in venues such as:

  • arXiv (Cornell University) with 23 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 13 publications
  • Quantum Machine Intelligence with 5 publications
  • Neural Computing and Applications with 2 publications
  • Translational Vision Science & Technology with 2 publications

Best Publications

  • Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks

    Angel Cruz-Roa;Ajay Basavanhally;Fabio González;Hannah Leah Gilmore

  • An immunity-based technique to characterize intrusions in computer networks

    D. Dasgupta;F. Gonzalez

  • Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

    Angel Cruz-Roa;Angel Cruz-Roa;Hannah Leah Gilmore;Ajay Basavanhally;Michael Feldman

  • Assessment of algorithms for mitosis detection in breast cancer histopathology images

    Mitko Veta;Paul J. van Diest;Stefan M. Willems;Haibo Wang

  • Representation learning for mammography mass lesion classification with convolutional neural networks

    John Arevalo;Fabio A. González;Raúl Ramos-Pollán;Jose L. Oliveira

  • Anomaly Detection Using Real-Valued Negative Selection

    Fabio A. González;Dipankar Dasgupta

  • A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.

    Angel Alfonso Cruz-Roa;John Edison Arevalo Ovalle;Anant Madabhushi;Fabio Augusto González Osorio

  • Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features

    Haibo Wang;Angel Cruz-Roa;Ajay Basavanhally;Hannah Leah Gilmore

  • Artificial immune system (AIS) research in the last five years

    D. Dasgupta;Z. Ji;F. Gonzalez

  • Combining negative selection and classification techniques for anomaly detection

    F. Gonzalez;D. Dasgupta;R. Kozma

  • A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images

    Gloria Díaz;Fabio A. González;Eduardo Romero

  • A Randomized Real-Valued Negative Selection Algorithm

    Fabio A. González;Fabio A. González;Dipankar Dasgupta;Luis Fernando Niño

  • Histopathology Image Classification Using Bag of Features and Kernel Functions

    Juan C. Caicedo;Angel Cruz;Fabio A. Gonzalez

  • Gated Multimodal Units for Information Fusion

    John Arevalo;Thamar Solorio;Manuel Montes-y-Gómez;Fabio A. González

  • Classifying phishing URLs using recurrent neural networks

    Alejandro Correa Bahnsen;Eduardo Contreras Bohorquez;Sergio Villegas;Javier Vargas

  • Convolutional Neural Networks for Authorship Attribution of Short Texts

    Prasha Shrestha;Sebastian Sierra;Fabio Gonzalez;Manuel Montes

  • Visual pattern mining in histology image collections using bag of features.

    Angel Cruz-Roa;Juan C. Caicedo;Fabio A. González

  • Convolutional neural networks for mammography mass lesion classification

    John Arevalo;Fabio A. Gonzalez;Raul Ramos-Pollan;Jose L. Oliveira

  • The effect of binary matching rules in negative selection

    Fabio González;Dipankar Dasgupta;Jonatan Gómez

  • The fuzzy artificial immune system: motivations, basic concepts, and application to clustering and Web profiling

    O. Nasaroui;F. Gonzalez;D. Dasgupta

Frequent Co-Authors

Dipankar Dasgupta
Dipankar Dasgupta University of Memphis
Manuel Montes-y-Gómez
Manuel Montes-y-Gómez National Institute of Astrophysics, Optics and Electronics
Olfa Nasraoui
Olfa Nasraoui University of Louisville
Anant Madabhushi
Anant Madabhushi Emory University
Hugo Jair Escalante
Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
John E. Tomaszewski
John E. Tomaszewski University at Buffalo, State University of New York
Michael Feldman
Michael Feldman University of Pennsylvania
Thamar Solorio
Thamar Solorio Mohamed bin Zayed University of Artificial Intelligence

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