World's Best Scientists 2026 revealed!
Arlindo L. Oliveira

Arlindo L. Oliveira

D-Index & Metrics

Computer Science

D-Index
39
Citations
10029
World Ranking
9554
National Ranking
23

Arlindo L. 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 Arlindo L. 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Arlindo L. 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 Arlindo L. 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Arlindo L. Oliveira is affiliated with the University of Lisbon in Portugal and has a research focus spanning Computer Science and Medicine. Their work contributes notably to the subfields of Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Epidemiology.

Their principal areas of research topics include Cardiac Imaging and Diagnostics, Coronary Interventions and Diagnostics, Reinforcement Learning in Robotics, Acute Ischemic Stroke Management, Advanced X-ray and CT Imaging, Cerebrovascular and Carotid Artery Diseases, and Neural Dynamics and Brain Function.

Recent publications by Oliveira cover a range of topics primarily related to medical imaging and artificial intelligence applications in medicine:

  • Artificial intelligence-based diagnosis of acute pulmonary embolism: Development of a machine learning model using 12-lead electrocardiogram, 2023, Revista Portuguesa de Cardiologia
  • Graph Neural Networks for Traffic Forecasting, 2020, OMAINTEC journal.
  • Coronary X-ray angiography segmentation using Artificial Intelligence: a multicentric validation study of a deep learning model, 2023, The International Journal of Cardiovascular Imaging
  • Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance, 2022, Revista Portuguesa de Cardiologia
  • Learning the dynamics of realistic models of C. elegans nervous system with recurrent neural networks, 2023, Scientific Reports

Frequent collaborators in Oliveira's research include Miguel Nobre Menezes, Fausto J. Pinto, João Lourenço Silva, Tiago Rodrigues, and Ruxandra Bărbulescu, reflecting ongoing joint work across multiple publications.

Oliveira's research is published in various academic venues, notably:

  • arXiv (Cornell University)
  • Revista Portuguesa de Cardiologia
  • The International Journal of Cardiovascular Imaging
  • OMAINTEC journal.
  • Scientific Reports

Their scholarly output extends to book publications as well, including a contribution to the 2023 Springer International Publishing volume titled Multidisciplinary Perspectives on Artificial Intelligence and the Law.

Best Publications

  • Biclustering Algorithms for Biological Data Analysis: A Survey

    Sara C. Madeira;Arlindo L. Oliveira

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae

    Miguel C. Teixeira;Pedro T. Monteiro;Pooja Jain;Sandra Tenreiro

  • Temporal Data Mining: an overview

    Cláudia M. Antunes;Arlindo L. Oliveira

  • The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae

    Miguel Cacho Teixeira;Pedro Tiago Monteiro;Joana Fernandes Guerreiro;Joana Pinho Gonçalves

  • YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface

    Dário Abdulrehman;Pedro Tiago Monteiro;Miguel Cacho Teixeira;Nuno Pereira Mira

  • YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae

    Pedro T. Monteiro;Nuno D. Mendes;Miguel C. Teixeira;Sofia d’Orey

  • Techniques for the creation of digital watermarks in sequential circuit designs

    A.L. Oliveira

  • ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.

    Stefan Winzeck;Arsany Hakim;Richard McKinley;José A. A. D. S. R. Pinto

  • Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm

    Sara C. Madeira;Miguel C. Teixeira;Isabel Sa-Correia;Arlindo L. Oliveira

  • Biotechnology, Big Data and Artificial Intelligence.

    Arlindo L Oliveira

  • Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients

    Miguel Monteiro;Ana Catarina Fonseca;Ana Teresa Freitas;Teresa Pinho e Melo

  • Generalization of pattern-growth methods for sequential pattern mining with gap constraints

    Cláudia Antunes;Arlindo L. Oliveira

  • Finite state machine decomposition for low power

    José C. Monteiro;Arlindo L. Oliveira

  • An Empirical Comparison of Text Categorization Methods

    Ana Cardoso-Cachopo;Ana Cardoso-Cachopo;Arlindo L. Oliveira;Arlindo L. Oliveira

  • Robust techniques for watermarking sequential circuit designs

    Arlindo L. Oliveira

  • BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data

    Joana P Gonçalves;Joana P Gonçalves;Joana P Gonçalves;Sara C Madeira;Sara C Madeira;Sara C Madeira;Arlindo L Oliveira;Arlindo L Oliveira

  • A new algorithm for the reduction of incompletely specified finite state machines

    Jorge M. Pena;Arlindo L. Oliveira

  • Prime implicant computation using satisfiability algorithms

    V.M. Manquinho;P.F. Flores;J.P.M. Silva;A.L. Oliveira

  • The bio.tools registry of software tools and data resources for the life sciences.

    Jon Ison;Hans Ienasescu;Piotr Jaroslaw Chmura;Emil Karol Rydza

  • A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series

    Sara C Madeira;Sara C Madeira;Arlindo L Oliveira

  • Fully compressed suffix trees

    Luís M. S. Russo;Gonzalo Navarro;Arlindo L. Oliveira

Frequent Co-Authors

Isabel Sá-Correia
Isabel Sá-Correia Instituto Superior Técnico
Miguel C. Teixeira
Miguel C. Teixeira Instituto Superior Técnico
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Joao Marques-Silva
Joao Marques-Silva Institució Catalana de Recerca i Estudis Avançats
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Marie-France Sagot
Marie-France Sagot Claude Bernard University Lyon 1
gonzalo navarro
gonzalo navarro University of Chile
Koen Van Leemput
Koen Van Leemput Harvard University
Tom Vercauteren
Tom Vercauteren King's College London
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University

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