World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
8105
World Ranking
9623
National Ranking
151

Ignacio Rojas 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 Ignacio Rojas 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: 325 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Ignacio Rojas 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 Ignacio Rojas 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

Ignacio Rojas is affiliated with the University of Granada in Spain and has contributed extensively to the fields of Biochemistry, Genetics and Molecular Biology, Medicine, and Computer Science. Their research encompasses a range of subfields including Molecular Biology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, and Cancer Research.

The main topics of Rojas's work focus on:

  • AI in cancer detection
  • Gene expression and cancer classification
  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 diagnosis using AI
  • Machine Learning in Bioinformatics
  • Artificial Intelligence in Healthcare
  • Anomaly Detection Techniques and Applications

Rojas's recent publications include the following papers:

  • "Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis", 2022, Journal of Personalized Medicine
  • "Estimation of COVID-19 dynamics in the different states of the United States using Time-Series Clustering", 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge", 2021, Computers in Biology and Medicine
  • "Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion", 2021, BMC Bioinformatics
  • "Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning", 2021, Neural Processing Letters

Frequent co-authors in Rojas's publications include:

  • Luis Javier Herrera
  • Olga Valenzuela
  • Daniel Castillo-Secilla
  • Francisco Carrillo-Pérez
  • Fernando Rojas

The main venues where Rojas regularly publishes are:

  • Neural Processing Letters
  • Current Bioinformatics
  • SSRN Electronic Journal
  • Journal of Personalized Medicine
  • BMC Bioinformatics

Ignacio Rojas has also contributed to book publications, including works published by Springer Science+Business Media and Contributions to Statistics. Notable titles include:

  • Bioengineering and Biomedical Signal and Image Processing (2021), Springer Science+Business Media
  • Advances in Computational Intelligence (2021), Springer Science+Business Media
  • Theory and Applications of Time Series Analysis and Forecasting (2023), Contributions to Statistics

Best Publications

  • Window Size Impact in Human Activity Recognition

    Oresti Baños;Juan Manuel Galvez;Miguel Damas;Héctor Pomares

  • mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications

    Oresti Banos;Rafael Garcia;Juan A. Holgado-Terriza;Miguel Damas

  • Design, implementation and validation of a novel open framework for agile development of mobile health applications.

    Oresti Banos;Oresti Banos;Claudia Villalonga;Rafael Garcia;Alejandro Saez

  • Prenatal detection of velamentous insertion of the umbilical cord: a prospective color Doppler ultrasound study

    W. Sepulveda;I. Rojas;J. A. Robert;C. Schnapp

  • Soft-computing techniques and ARMA model for time series prediction

    I. Rojas;O. Valenzuela;F. Rojas;A. Guillen

  • Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation

    J. Gonzalez;I. Rojas;J. Ortega;H. Pomares

  • Hybridization of intelligent techniques and ARIMA models for time series prediction

    O. Valenzuela;I. Rojas;F. Rojas;H. Pomares

  • Self-organized fuzzy system generation from training examples

    I. Rojas;H. Pomares;J. Ortega;A. Prieto

  • Neural networks

    Alberto Prieto;Beatriz Prieto;Eva Martinez Ortigosa;Eduardo Ros

  • Time series analysis using normalized PG-RBF network with regression weights

    Ignacio Rojas;Héctor Pomares;José Luis Bernier;Julio Ortega

  • Dealing with the effects of sensor displacement in wearable activity recognition.

    Oresti Banos;Mate Attila Toth;Miguel Damas;Hector Pomares

  • A benchmark dataset to evaluate sensor displacement in activity recognition

    Oresti Baños;Miguel Damas;Héctor Pomares;Ignacio Rojas

  • Statistical analysis of the main parameters involved in the design of a genetic algorithm

    I. Rojas;J. Gonzalez;H. Pomares;J.J. Merelo

  • Daily living activity recognition based on statistical feature quality group selection

    Oresti Banos;Miguel Damas;Hector Pomares;Alberto Prieto

  • PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring

    Oresti Banos;Claudia Villalonga;Miguel Damas;Peter Gloesekoetter

  • A systematic approach to a self-generating fuzzy rule-table for function approximation

    H. Pomares;I. Rojas;J. Ortega;J. Gonzalez

  • A heuristic method for parameter selection in LS-SVM: Application to time series prediction

    Ginés Rubio;Héctor Pomares;Ignacio Rojas;Luis Javier Herrera

  • TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy

    L. J. Herrera;H. Pomares;I. Rojas;O. Valenzuela

  • Recursive prediction for long term time series forecasting using advanced models

    L. J. Herrera;H. Pomares;I. Rojas;A. Guillén

  • Structure identification in complete rule-based fuzzy systems

    H. Pomares;I. Rojas;J. Gonzalez;A. Prieto

Frequent Co-Authors

Héctor Pomares
Héctor Pomares University of Granada
Alberto Prieto
Alberto Prieto University of Granada
Carlos G. Puntonet
Carlos G. Puntonet University of Granada
Eduardo Ros
Eduardo Ros Max Planck Society
Amaury Lendasse
Amaury Lendasse University of Houston
Hani Hagras
Hani Hagras University of Essex
Eduardo Ros
Eduardo Ros University of Granada
Sungyoung Lee
Sungyoung Lee Kyung Hee University
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Francisco Liébana-Cabanillas
Francisco Liébana-Cabanillas University of Granada

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