World's Best Scientists 2026 revealed!
José Luís Oliveira

José Luís Oliveira

D-Index & Metrics

Computer Science

D-Index
34
Citations
4998
World Ranking
12174
National Ranking
38

José Luís Oliveira 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 José Luís Oliveira 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: 366 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

José Luís Oliveira 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 José Luís Oliveira 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

José Luís Oliveira is affiliated with the University of Aveiro in Portugal. Their research spans multiple fields, primarily in Computer Science and Biochemistry, Genetics and Molecular Biology. Within these broad areas, their work is notably concentrated in subfields such as Molecular Biology, Artificial Intelligence, Information Systems, Computer Networks and Communications, and Information Systems and Management.

Their research topics cover a range of specialized areas, including Biomedical Text Mining and Ontologies, Scientific Computing and Data Management, Computational Drug Discovery Methods, Mental Health via Writing, Sentiment Analysis and Opinion Mining, Machine Learning in Healthcare, and Semantic Web and Ontologies.

José Luís Oliveira has contributed to several research publications over recent years. Some of the notable papers include:

  • Designing optimized drug candidates with Generative Adversarial Network, 2022, Journal of Cheminformatics
  • DTITR: End-to-end drug-target binding affinity prediction with transformers, 2022, Computers in Biology and Medicine
  • Software tools and platforms in Digital Pathology: a review for clinicians and computer scientists, 2022, Journal of Pathology Informatics
  • A methodology for cohort harmonisation in multicentre clinical research, 2021, Informatics in Medicine Unlocked
  • TAG-DTA: Binding-region-guided strategy to predict drug-target affinity using transformers, 2023, Expert Systems with Applications

The venues where José Luís Oliveira frequently publishes include:

  • Studies in health technology and informatics
  • Computers in Biology and Medicine
  • Informatics in Medicine Unlocked
  • Revista fisio&terapia.
  • SSRN Electronic Journal

The scientist has collaborated extensively with several coauthors, among whom are João Rafael Almeida, Rui Pedro Lopes, Sérgio Matos, Olga Fajarda, and Joel P. Arrais.

In addition to journal articles, José Luís Oliveira has published books, including one with Even3 Publicações eBooks titled 3º Livro de Memórias: O que pode um corpo?, which is scheduled for 2025.

Best Publications

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

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

  • Twitter: a good place to detect health conditions.

    Víctor M. Prieto;Sérgio Matos;Manuel Álvarez;Fidel Cacheda

  • Convolutional neural networks for mammography mass lesion classification

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

  • Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations

    Alina Trifan;Maryse Oliveira;José Luís Oliveira

  • Gimli: open source and high-performance biomedical name recognition

    David Campos;Sérgio Matos;José Luís Oliveira

  • Large Scale Comparative Codon-Pair Context Analysis Unveils General Rules that Fine-Tune Evolution of mRNA Primary Structure

    Gabriela Moura;Miguel Pinheiro;Joel Arrais;Ana Cristina Gomes

  • Dicoogle - an open source peer-to-peer PACS.

    Carlos Costa;Carlos Ferreira;Luís Bastião;Luís S. Ribeiro

  • Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools

    David Campos;Sérgio Matos;José Luís Oliveira

  • On the parameter optimization of Support Vector Machines for binary classification

    Paulo Gaspar;Jaime G. Carbonell;José Luís Oliveira

  • mRNA secondary structure optimization using a correlated stem–loop prediction

    Paulo Gaspar;Gabriela Moura;Manuel A.S. Santos;José Luís Oliveira

  • BeCAS: biomedical concept recognition services and visualization

    Tiago Nunes;David Campos;Sérgio Matos;José Luís Oliveira

  • EuGene: Maximizing synthetic gene design for heterologous expression

    Paulo Gaspar;José Luís Oliveira;Jörg Frommlet;Manuel A. S. Santos

  • A PACS archive architecture supported on cloud services.

    Luís A. Bastião Silva;Carlos Costa;José Luis Oliveira

  • A modular framework for biomedical concept recognition

    David Campos;Sérgio Matos;José Luís Oliveira

  • From the salivary proteome to the OralOme: Comprehensive molecular oral biology

    Nuno Rosa;Maria José Correia;Joel P. Arrais;Pedro Lopes

  • On the parameter optimization of Support Vector Machines for binary classification

    Unknown

  • Open-Source Electronic Health Record Systems for Low-Resource Settings: Systematic Review.

    Assel Syzdykova;André Malta;Maria Zolfo;Ermias Diro

  • Indexing and retrieving DICOM data in disperse and unstructured archives

    Carlos Costa;Filipe Freitas;Marco Pereira;Augusto Silva

  • The EU-ADR Web Platform: delivering advanced pharmacovigilance tools

    José Luis Oliveira;Pedro Lopes;Tiago Nunes;David Campos

  • Concept-based query expansion for retrieving gene related publications from MEDLINE

    Sérgio Matos;Joel P Arrais;João Maia-Rodrigues;José Luis Oliveira

  • Improving data and knowledge management to better integrate health care and research

    M. Cases;L. I. Furlong;J. Albanell;R. B. Altman

Frequent Co-Authors

Manuel A. S. Santos
Manuel A. S. Santos University of Aveiro
José M. C. Ribeiro
José M. C. Ribeiro National Institutes of Health
Fabio A. González
Fabio A. González National University of Colombia
Martijn J. Schuemie
Martijn J. Schuemie Janssen (Belgium)
Erik M. van Mulligen
Erik M. van Mulligen Erasmus University Rotterdam
Francisco Amado
Francisco Amado University of Aveiro
Mark A. Musen
Mark A. Musen Stanford University
Tamás Székely
Tamás Székely University of Bath

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