World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5330
World Ranking
12582
National Ranking
796

Isaac Triguero 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 Isaac Triguero 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: 116 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Isaac Triguero 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 Isaac Triguero 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Isaac Triguero is affiliated with the University of Nottingham in the United Kingdom. Their research primarily spans the field of Computer Science, with a particular focus on Artificial Intelligence. The scientist's work also intersects with other subfields including Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, Signal Processing, and Management Science and Operations Research.

The main research topics Isaac Triguero has contributed to are diverse, reflecting a broad spectrum within AI and data science. These include:

  • Machine Learning and Data Classification
  • Data Stream Mining Techniques
  • Explainable Artificial Intelligence (XAI)
  • Domain Adaptation and Few-Shot Learning
  • Species Distribution and Climate Change
  • Time Series Analysis and Forecasting
  • Energy Load and Power Forecasting

Isaac Triguero's recent publications demonstrate this thematic range. Examples include:

  • "Multigranulation Supertrust Model for Attribute Reduction" published in 2020 in IEEE Transactions on Fuzzy Systems
  • "General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance" published in 2023 in Information Fusion
  • "Forced vital capacity trajectories in patients with idiopathic pulmonary fibrosis: a secondary analysis of a multicentre, prospective, observational cohort" published in 2022 in The Lancet Digital Health
  • "Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data" published in 2020 in IEEE Access
  • "EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification" published in 2020 in Applied Soft Computing

The scientist has also contributed to book publications, notably a title published by Cambridge University Press entitled "Large-Scale Data Analytics with Python and Spark" in 2023.

Isaac Triguero frequently collaborates with several colleagues in their research endeavors. Some of the most frequent coauthors are:

  • Mikel Galar
  • Francisco Herrera
  • Salvador García
  • Direnc Pekaslan
  • Daniel Molina

Their work is commonly published in venues such as:

  • arXiv (Cornell University)
  • IEEE Access
  • Information Fusion
  • Information Sciences
  • Applied Intelligence

This profile summarizes Isaac Triguero's contributions in terms of research areas, collaborations, and publication outlets, illustrating a multidisciplinary approach within the wider domain of Computer Science and Artificial Intelligence.

Best Publications

  • Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

    Isaac Triguero;Salvador García;Francisco Herrera

  • Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study

    Mikel Canizo;Isaac Triguero;Angel Conde;Enrique Onieva

  • A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification

    I. Triguero;J. Derrac;S. Garcia;F. Herrera

  • KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

    Isaac Triguero;Sergio González;Jose M. Moyano;Salvador García

  • kNN-IS

    Jesus Maillo;Sergio Ramírez;Isaac Triguero;Francisco Herrera

  • MRPR: A MapReduce solution for prototype reduction in big data classification

    Isaac Triguero;Daniel Peralta;Jaume Bacardit;Salvador García

  • Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data

    Isaac Triguero;Diego García-Gil;Jesús Maillo;Julián Luengo

  • Evolutionary-based selection of generalized instances for imbalanced classification

    Salvador Garcıa;Joaquın Derrac;Isaac Triguero;Cristóbal J. Carmona

  • A survey on fingerprint minutiae-based local matching for verification and identification

    Daniel Peralta;Mikel Galar;Isaac Triguero;Daniel Paternain

  • Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

    Daniel Peralta;Sara del Río;Sergio Ramírez-Gallego;Isaac Triguero

  • Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification

    Isaac Triguero;Salvador García;Francisco Herrera

  • ROSEFW-RF

    Isaac Triguero;Sara del Río;Victoria López;Jaume Bacardit

  • On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

    Isaac Triguero;José A. Sáez;Julián Luengo;Salvador García

  • On the use of convolutional neural networks for robust classification of multiple fingerprint captures

    Daniel Peralta;Isaac Triguero;Salvador García;Yvan Saeys

  • Fast fingerprint identification for large databases

    D. Peralta;I. Triguero;R. Sanchez-Reillo;F. Herrera

  • A review on the self and dual interactions between machine learning and optimisation

    Heda Song;Isaac Triguero;Ender Özcan

  • SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification

    Isaac Triguero;Salvador Garcia;Francisco Herrera

  • A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification

    Jesus Maillo;Isaac Triguero;Francisco Herrera

  • A survey of fingerprint classification Part II

    Mikel Galar;Joaquín Derrac;Daniel Peralta;Isaac Triguero

  • A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification

    Unknown

  • Evolutionary undersampling for extremely imbalanced big data classification under apache spark

    I. Triguero;M. Galar;D. Merino;J. Maillo

  • Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms

    J. Derrac;I. Triguero;S. Garcia;F. Herrera

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Salvador García
Salvador García University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Robert John
Robert John University of Nottingham
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra
Julián Luengo
Julián Luengo University of Granada
Yvan Saeys
Yvan Saeys Ghent University
Ender Özcan
Ender Özcan University of Nottingham
Weiping Ding
Weiping Ding Nantong University

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