World's Best Scientists 2026 revealed!
Francisco M. Couto

Francisco M. Couto

D-Index & Metrics

Computer Science

D-Index
32
Citations
5695
World Ranking
12999
National Ranking
46

Francisco M. Couto 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 Francisco M. Couto 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Francisco M. Couto 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 Francisco M. Couto 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Francisco M. Couto is affiliated with the University of Lisbon in Portugal. Their research spans multiple fields, prominently including Computer Science and Biochemistry, Genetics and Molecular Biology. Within these disciplines, their focus encompasses various subfields such as Artificial Intelligence, Molecular Biology, Information Systems, Genetics, and Computer Vision and Pattern Recognition.

The scientist's research topics cover a range of areas, including Biomedical Text Mining and Ontologies, Topic Modeling, Recommender Systems and Techniques, Natural Language Processing Techniques, Semantic Web and Ontologies, Bioinformatics and Genomic Networks, and Advanced Text Analysis Techniques.

Francisco M. Couto has contributed to several recent publications. Notable papers include:

  • Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics, 2021, published in Cancers
  • Biomedical Relation Extraction With Knowledge Graph-Based Recommendations, 2022, published in IEEE Journal of Biomedical and Health Informatics
  • Identification of biological mechanisms underlying a multidimensional ASD phenotype using machine learning, 2020, published in Translational Psychiatry
  • Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literature, 2020, published in Journal of Cheminformatics
  • NILINKER: Attention-based approach to NIL Entity Linking, 2022, published in Journal of Biomedical Informatics

Their frequent coauthors include Pedro Ruas, André Lamúrias, Diana Sousa, M. Barros, and A. Moitinho.

Francisco M. Couto commonly publishes in venues such as bioRxiv (Cold Spring Harbor Laboratory), Faculty Opinions - Post-Publication Peer Review of the Biomedical Literature, Research Square (Research Square), arXiv (Cornell University), and Zenodo (CERN European Organization for Nuclear Research).

Best Publications

  • Semantic similarity in biomedical ontologies.

    Catia Pesquita;Daniel Faria;André O. Falcão;Phillip W. Lord

  • Metrics for GO based protein semantic similarity: a systematic evaluation

    Catia Pesquita;Daniel Faria;Hugo P. Bastos;António E. N. Ferreira

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • The AgreementMakerLight Ontology Matching System

    Daniel Faria;Catia Pesquita;Emanuel Santos;Matteo Palmonari

  • Measuring semantic similarity between Gene Ontology terms

    Francisco M. Couto;Mário J. Silva;Pedro M. Coutinho

  • Facts from text--is text mining ready to deliver?

    Dietrich Rebholz-Schuhmann;Harald Kirsch;Francisco Couto

  • Semantic similarity over the gene ontology: family correlation and selecting disjunctive ancestors

    Francisco M. Couto;Mário J. Silva;Pedro M. Coutinho

  • Evaluating GO-based Semantic Similarity Measures

    Cátia Pesquita;Daniel Faria;Hugo Bastos;André O. Falcão

  • Ontology Alignment Repair through Modularization and Confidence-Based Heuristics.

    Emanuel Santos;Daniel Faria;Catia Pesquita;Francisco M. Couto

  • Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology.

    Muhammad Asif;Muhammad Asif;Hugo F. M. C. M. Martiniano;Hugo F. M. C. M. Martiniano;Astrid M. Vicente;Astrid M. Vicente;Astrid M. Vicente;Francisco M. Couto

  • Disjunctive shared information between ontology concepts: application to Gene Ontology

    Francisco M Couto;Mário J Silva

  • Automatic concept recognition using the Human Phenotype Ontology reference and test suite corpora

    Tudor Groza;Sebastian Köhler;Sandra C. Doelken;Nigel Collier

  • Using AgreementMaker to align ontologies for OAEI 2010

    Isabel F. Cruz;Cosmin Stroe;Federico Caimi;Alessio Fabiani

  • Finding genomic ontology terms in text using evidence content

    Francisco M Couto;Mário J Silva;Pedro M Coutinho

  • GOAnnotator: linking protein GO annotations to evidence text

    Francisco M Couto;Mário J Silva;Vivian Lee;Emily Dimmer

  • The semantic web in translational medicine: current applications and future directions

    Catia M. Machado;Dietrich Rebholz-Schuhmann;Ana T. Freitas;Francisco M. Couto

  • To repair or not to repair: reconciling correctness and coherence in ontology reference alignments

    Catia Pesquita;Daniel Faria;Emanuel Santos;Francisco M. Couto

  • Implementation of a Functional Semantic Similarity Measure between Gene-Products

    Francisco M. Couto;Mário J. Silva;Pedro M. Coutinho

  • CESSM: collaborative evaluation of semantic similarity measures

    Catia Pesquita;Delphine Pessoa;Daniel Faria;Francisco M. Couto

  • Semantic similarity for automatic classification of chemical compounds.

    João D. Ferreira;Francisco M. Couto

Frequent Co-Authors

Mário J. Silva
Mário J. Silva Instituto Superior Técnico
Isabel F. Cruz
Isabel F. Cruz University of Illinois at Chicago
Pedro M. Coutinho
Pedro M. Coutinho Aix-Marseille University
Paulo Veríssimo
Paulo Veríssimo King Abdullah University of Science and Technology
Bruno Martins
Bruno Martins Instituto Superior Técnico
Dietrich Rebholz-Schuhmann
Dietrich Rebholz-Schuhmann University of Cologne
Martin Krallinger
Martin Krallinger Barcelona Supercomputing Center
Reza M. Salek
Reza M. Salek International Agency For Research On Cancer
Rolf Apweiler
Rolf Apweiler European Bioinformatics Institute
Karin Verspoor
Karin Verspoor RMIT University

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