World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
13552
World Ranking
11877
National Ranking
209

Iñaki Inza 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 Iñaki Inza 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: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Iñaki Inza 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 Iñaki Inza 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

Iñaki Inza is a researcher affiliated with the University of the Basque Country in Spain. Their academic work spans multiple fields, with primary focus on Biochemistry, Genetics and Molecular Biology, alongside significant contributions in Computer Science.

Their research also engages various subfields such as Molecular Biology, Artificial Intelligence, Atmospheric Science, Radiology, Nuclear Medicine and Imaging, and Electrical and Electronic Engineering.

Key topics addressed in their publications include:

  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • COVID-19 diagnosis using AI
  • Meteorological Phenomena and Simulations
  • Hydrological Forecasting Using AI
  • Precipitation Measurement and Analysis
  • Extracellular vesicles in disease

Iñaki Inza has published research in a variety of scholarly venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Advances in Modeling Earth Systems
  • GigaScience
  • IEEE Transactions on Knowledge and Data Engineering
  • Neurocomputing

Notable recent publications include:

  • Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics, 2020, Journal of Advances in Modeling Earth Systems
  • Triku: a feature selection method based on nearest neighbors for single-cell data, 2022, GigaScience
  • Triku: a feature selection method based on nearest neighbors for single-cell data, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • SNDProb: A probabilistic approach for streaming novelty detection, 2022, IEEE Transactions on Knowledge and Data Engineering
  • Extending the learning using privileged information paradigm to logistic regression, 2024, Neurocomputing

The researcher has collaborated frequently with several authors, including:

  • José A. Lozano
  • Mario Martínez-García
  • Susana García-Gutiérrez
  • Alex M. Ascensión
  • Olga Ibáñez-Solé

Best Publications

  • A review of feature selection techniques in bioinformatics

    Yvan Saeys;Iñaki Inza;Pedro Larrañaga

  • Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators

    P. Larrañaga;C. M. H. Kuijpers;R. H. Murga;I. Inza

  • Machine learning in bioinformatics

    Pedro Larrañaga;Borja Calvo;Roberto Santana;Concha Bielza

  • Filter versus wrapper gene selection approaches in DNA microarray domains

    Iñaki Inza;Pedro Larrañaga;Rosa Blanco;Antonio J. Cerrolaza

  • Towards a New Evolutionary Computation: Advances on Estimation of Distribution Algorithms (Studies in Fuzziness and Soft Computing)

    Jose A. Lozano;Pedro Larrañaga;Iñaki Inza;Endika Bengoetxea

  • Towards a New Evolutionary Computation

    Jose A. Lozano;Pedro Larrañaga;Iñaki Inza;Endika Bengoetxea

  • Feature subset selection by Bayesian network-based optimization

    I. Inza;P. Larrañaga;R. Etxeberria;B. Sierra

  • Differential micro RNA expression in PBMC from multiple sclerosis patients.

    David Otaegui;Sergio E. Baranzini;Rubén Armañanzas;Borja Calvo

  • Bayesian classifiers based on kernel density estimation: Flexible classifiers

    Unknown

  • Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes

    Aritz Pérez;Pedro Larrañaga;Iñaki Inza

  • Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers

    Jonathan Ortigosa-Hernández;Juan Diego Rodríguez;Leandro Alzate;Manuel Lucania

  • Dealing with the evaluation of supervised classification algorithms

    Guzman Santafe;Iñaki Inza;Jose A. Lozano

  • A review of estimation of distribution algorithms in bioinformatics

    Rubén Armañanzas;Iñaki Inza;Roberto Santana;Yvan Saeys

  • Machine learning: an indispensable tool in bioinformatics.

    Iñaki Inza;Borja Calvo;Rubén Armañanzas;Endika Bengoetxea

  • Gene selection by sequential search wrapper approaches in microarray cancer class prediction

    Iñaki Inza;Basilio Sierra;Rosa Blanco;Pedro Larrañaga

  • Gene selection for cancer classification using wrapper approaches

    Rosa Blanco;Pedro Larrañaga;Iñaki Inza;Basilio Sierra

  • Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS

    Rosa Blanco;Iñaki Inza;Marisa Merino;Jorge Quiroga

  • Learning Bayesian networks in the space of structures by estimation of distribution algorithms

    Rosa Blanco;Iñaki Inza;Pedro Larrañaga

  • Weak supervision and other non-standard classification problems

    Jerónimo Hernández-González;Iñaki Inza;Jose A. Lozano

  • Fish recruitment prediction, using robust supervised classification methods

    Jose Antonio Fernandes;Xabier Irigoien;Nerea Goikoetxea;Jose Antonio Lozano

  • Feature subset selection by genetic algorithms and estimation of distribution algorithms

    I. Inza;M. Merino;P. Larrañaga;J. Quiroga

Frequent Co-Authors

Jose A. Lozano
Jose A. Lozano Basque Center for Applied Mathematics
Pedro Larrañaga
Pedro Larrañaga Technical University of Madrid
Yvan Saeys
Yvan Saeys Ghent University
Concha Bielza
Concha Bielza Technical University of Madrid
Luigi Renzullo
Luigi Renzullo Commonwealth Scientific and Industrial Research Organisation
Sergio E. Baranzini
Sergio E. Baranzini University of California, San Francisco
Albert van Dijk
Albert van Dijk Australian National University
Carmen Navarro
Carmen Navarro Instituto de Salud Carlos III
Yves Van de Peer
Yves Van de Peer Ghent University

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