World's Best Scientists 2026 revealed!
Florentino Fdez-Riverola

Florentino Fdez-Riverola

D-Index & Metrics

Computer Science

D-Index
37
Citations
6169
World Ranking
10713
National Ranking
171

Florentino Fdez-Riverola 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 Florentino Fdez-Riverola 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: 220 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Florentino Fdez-Riverola 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 Florentino Fdez-Riverola 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Florentino Fdez-Riverola is affiliated with Universidade de Vigo in Spain. Their research spans multiple disciplines, prominently featuring Computer Science, Biochemistry, Genetics and Molecular Biology, and Medicine.

The scientist's work covers specialized subfields including Molecular Biology, Artificial Intelligence, Oncology, Computer Vision and Pattern Recognition, and Epidemiology. Key research topics they focus on are colorectal cancer screening and detection, genomics and phylogenetic studies, machine learning applications in healthcare, radiomics combined with machine learning in medical imaging, advanced neural network applications, IoT and edge/fog computing, and biomedical text mining and ontologies.

Florentino Fdez-Riverola has published several papers addressing these topics. Notable recent publications include:

  • Deep Neural Networks approaches for detecting and classifying colorectal polyps, 2020, Neurocomputing
  • Real-time polyp detection model using convolutional neural networks, 2021, Neural Computing and Applications
  • An RNA-seq Based Machine Learning Approach Identifies Latent Tuberculosis Patients With an Active Tuberculosis Profile, 2020, Frontiers in Immunology
  • Optimized convolutional neural network architectures for efficient on-device vision-based object detection, 2021, Neural Computing and Applications
  • Revisiting the Metabolic Capabilities of Bifidobacterium longum susbp. longum and Bifidobacterium longum subsp. infantis from a Glycoside Hydrolase Perspective, 2020, Microorganisms

The scientist frequently collaborates with various colleagues. The most frequent co-authors include Miguel Reboiro-Jato, Hugo López-Fernández, Daniel Glez-Peña, Anália Lourenço, and Martín Pérez-Pérez.

Florentino Fdez-Riverola has contributed significantly to publication venues such as:

  • Neurocomputing
  • Gastroenterología y Hepatología
  • Neural Computing and Applications
  • Interdisciplinary Sciences Computational Life Sciences
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics

Their collaborations and published work also extend to book publications by major academic publishers. These include titles in the series Practical Applications of Computational Biology and Bioinformatics presented at international conferences, published by Springer International Publishing and Springer Nature between 2020 and 2023.

Best Publications

  • ALTER: program-oriented conversion of DNA and protein alignments

    Daniel Glez-Peña;Daniel Gómez-Blanco;Miguel Reboiro-Jato;Florentino Fdez-Riverola

  • Web scraping technologies in an API world

    Daniel Glez-Peña;Anália Lourenço;Hugo López-Fernández;Miguel Reboiro-Jato

  • FSfRT: Forecasting System for Red Tides

    Florentino Fdez-Riverola;Juan M. Corchado

  • Applying lazy learning algorithms to tackle concept drift in spam filtering

    F. Fdez-Riverola;E. L. Iglesias;F. Díaz;J. R. Méndez

  • gene‐CBR: A CASE‐BASED REASONIG TOOL FOR CANCER DIAGNOSIS USING MICROARRAY DATA SETS

    Fernando Díaz;Florentino Fdez-Riverola;Juan M. Corchado

  • A comparative performance study of feature selection methods for the anti-spam filtering domain

    J. R. Méndez;F. Fdez-Riverola;F. Díaz;E. L. Iglesias

  • Tokenising, stemming and stopword removal on anti-spam filtering domain

    J. R. Méndez;E. L. Iglesias;F. Fdez-Riverola;F. Díaz

  • CBR based system for forecasting red tides

    Florentino Fdez-Riverola;Juan M. Corchado

  • SpamHunting: An instance-based reasoning system for spam labelling and filtering

    F. Fdez-Riverola;E. L. Iglesias;F. Díaz;J. R. Méndez

  • FSfRT: FORECASTING SYSTEM FOR RED TIDES. A HYBRID AUTONOMOUS AI MODEL

    Florentino Fdez-Riverola;Juan M. Corchado

  • Tracking concept drift at feature selection stage in spamhunting: an anti-spam instance-based reasoning system

    J. R. Méndez;F. Fdez-Riverola;E. L. Iglesias;F. Díaz

  • Wireless Body Area Networks for healthcare applications: protocol stack review

    Luis Filipe;Florentino Fdez-Riverola;Nuno Costa;António Pereira

  • geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research.

    Daniel Glez-Peña;Fernando Díaz;Jesús M Hernández;Juan M Corchado

  • Evaluating the air-sea interactions and fluxes using an instance-based reasoning system

    Juan M. Corchado;Jim Aiken;Emilio S. Corchado;Florentino Fdez-Riverola

  • An Automated Hybrid CBR System for Forecasting

    Florentino Fdez-Riverola;Juan M. Corchado;Jesús M. Torres

  • Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery.

    Hugo López-Fernández;Hugo Miguel Santos;José L. Capelo;Florentino Fdez-Riverola

  • Improving gene selection in microarray data analysis using fuzzy patterns inside a CBR system

    Florentino Fdez-Riverola;Fernando Díaz;M. Lourdes Borrajo;J. Carlos Yáñez

  • Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning

    Florentino Fdez-Riverola;Fernando Díaz;Juan M. Corchado

  • Deep Neural Networks approaches for detecting and classifying colorectal polyps

    Alba Nogueira-Rodríguez;Rubén Domínguez-Carbajales;Hugo López-Fernández;Águeda Iglesias

  • Forecasting red tides using an hybrid neuro-symbolic system

    F. Fdez-Riverola;J. M. Corchado

Frequent Co-Authors

Juan M. Corchado
Juan M. Corchado University of Salamanca
José Luis Capelo
José Luis Capelo Universidade Nova de Lisboa
Miguel Rocha
Miguel Rocha University of Minho
Carlos Lodeiro
Carlos Lodeiro Universidade Nova de Lisboa
Borja Sánchez
Borja Sánchez Spanish National Research Council
Gonzalo Gómez-López
Gonzalo Gómez-López Universidade de Vigo
Abelardo Margolles
Abelardo Margolles Spanish National Research Council
Alfonso Valencia
Alfonso Valencia Barcelona Supercomputing Center
Martin Krallinger
Martin Krallinger Barcelona Supercomputing Center
Nuno F. Azevedo
Nuno F. Azevedo University of Porto

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