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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
71
Citations
20332
World Ranking
1773
National Ranking
100

Alex A. Freitas 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 Alex A. Freitas 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 357 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Alex A. Freitas 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 Alex A. Freitas sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Alex A. Freitas is affiliated with the University of Kent in the United Kingdom and conducts research primarily in the fields of Computer Science and Biochemistry, Genetics and Molecular Biology. Their work spans several subfields, including Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Aging, and Health Information Management.

The scientist's research focuses mainly on topics such as Machine Learning and Data Classification, Bioinformatics and Genomic Networks, Data Stream Mining Techniques, Genetics, Aging, and Longevity in Model Organisms, Computational Drug Discovery Methods, Evolutionary Algorithms and Applications, and Imbalanced Data Classification Techniques.

Freitas has contributed to multiple publications in notable venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • British Journal of Oral and Maxillofacial Surgery
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Aging
  • Artificial Intelligence Review

Some of the recent papers written by the scientist include:

  • "Ageing transcriptome meta-analysis reveals similarities and differences between key mammalian tissues" (2021, Aging)
  • "A data-driven missing value imputation approach for longitudinal datasets" (2021, Artificial Intelligence Review)
  • "Machine learning methods applied to risk adjustment of cumulative sum chart methodology to audit free flap outcomes after head and neck surgery" (2022, British Journal of Oral and Maxillofacial Surgery)
  • "A Novel Feature Selection Method for Uncertain Features: An Application to the Prediction of Pro-/Anti-Longevity Genes" (2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics)
  • "A survey of evolutionary algorithms for supervised ensemble learning" (2023, The Knowledge Engineering Review)

Frequent co-authors collaborating with Alex A. Freitas include:

  • João Pedro de Magalhães
  • Caio Ribeiro
  • David Tighe
  • Simon Provost
  • Alexandre Plastino

Best Publications

  • Data mining with an ant colony optimization algorithm

    R.S. Parpinelli;H.S. Lopes;A.A. Freitas

  • A survey of hierarchical classification across different application domains

    Carlos N. Silla;Alex A. Freitas

  • Data Mining and Knowledge Discovery with Evolutionary Algorithms

    Alex A. Freitas

  • A Survey of Evolutionary Algorithms for Clustering

    E.R. Hruschka;R.J.G.B. Campello;A.A. Freitas;A.C.P.L.F. de Carvalho

  • Comprehensible classification models: a position paper

    Alex A. Freitas

  • A survey of evolutionary algorithms for data mining and knowledge discovery

    Alex A. Freitas

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • On rule interestingness measures

    A. A. Freitas

  • A Survey of Evolutionary Algorithms for Decision-Tree Induction

    R. C. Barros;M. P. Basgalupp;A. C. P. L. F. de Carvalho;A. A. Freitas

  • Mining Very Large Databases with Parallel Processing

    Alex A. Freitas;S. H. Lavington

  • Automatic Text Summarization Using a Machine Learning Approach

    Joel Larocca Neto;Alex Alves Freitas;Celso A. A. Kaestner

  • Discovering comprehensible classification rules with a genetic algorithm

    M.V. Fidelis;H.S. Lopes;A.A. Freitas

  • A critical review of multi-objective optimization in data mining: a position paper

    Alex A. Freitas

  • A hybrid decision tree/genetic algorithm method for data mining

    Deborah R. Carvalho;Alex A. Freitas

  • Document Clustering and Text Summarization

    Joel Larocca Neto;Alexandre D. Santos;Celso A.A. Kaestner;Alex A. Freitas

  • An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives

    Sam Cramer;Michael Kampouridis;Alex Alves Freitas;Antonis K. Alexandridis

  • Understanding the Crucial Role of AttributeInteraction in Data Mining

    Alex A. Freitas

  • A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets

    Celia C. Bojarczuk;Heitor S. Lopes;Alex A. Freitas;Edson L. Michalkiewicz

  • Discovering interesting prediction rules with a genetic algorithm

    E. Noda;A.A. Freitas;H.S. Lopes

  • A Tutorial on Multi-label Classification Techniques

    André Carlos Ponce de Leon Ferreira de Carvalho;Alex Alves Freitas

  • On Objective Measures of Rule Surprisingness

    Alex Alves Freitas

  • An Ant Colony Algorithm for Classification Rule Discovery

    Rafael S. Parpinelli;Heitor S. Lopes;Alex A. Freitas

Frequent Co-Authors

André C. P. L. F. de Carvalho
André C. P. L. F. de Carvalho Universidade de São Paulo
Jon Timmis
Jon Timmis University of Sunderland
João Pedro de Magalhães
João Pedro de Magalhães University of Liverpool
Darren R. Flower
Darren R. Flower Aston University
Christophe Dessimoz
Christophe Dessimoz University College London
Peter J. Bentley
Peter J. Bentley University College London
David T. Jones
David T. Jones University College London
Daisuke Kihara
Daisuke Kihara Purdue University West Lafayette
Angelo Paradiso
Angelo Paradiso National Cancer Research Institute, UK
Martin Michaelis
Martin Michaelis University of Kent

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