World's Best Scientists 2026 revealed!
Ludmila I. Kuncheva

Ludmila I. Kuncheva

D-Index & Metrics

Computer Science

D-Index
59
Citations
25326
World Ranking
3332
National Ranking
198

Ludmila I. Kuncheva 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 Ludmila I. Kuncheva 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Ludmila I. Kuncheva 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 Ludmila I. Kuncheva 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: 59 D-Index — 77th percentile

77% 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

  • 2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to multiple classifier systems

Overview

Ludmila I. Kuncheva is affiliated with Bangor University in the United Kingdom. Their research primarily spans the fields of Computer Science and Biochemistry, Genetics and Molecular Biology, with significant contributions in subfields such as Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Ecology, and Radiology, Nuclear Medicine and Imaging.

The scientist's recent publications include the following papers:

  • "An experimental evaluation of mixup regression forests," 2020, Expert Systems with Applications
  • "Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale," 2020, arXiv (Cornell University)
  • "An experiment on animal re-identification from video," 2023, Ecological Informatics
  • "Basic Ensembles of Vanilla-Style Deep Learning Models Improve Liver Segmentation From CT Images," 2020, arXiv (Cornell University)
  • "Semi-supervised classification with pairwise constraints: A case study on animal identification from video," 2023, Information Fusion

Ludmila I. Kuncheva's frequent co-authors include:

  • Juan J. Rodríguez
  • Samuel L. Hennessey
  • José Luis Garrido-Labrador
  • Ismael Ramos-Pérez
  • Álvar Arnaiz-González

The scientist has published multiple works in venues such as:

  • arXiv (Cornell University)
  • Ecological Informatics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Expert Systems with Applications
  • Information Fusion

Their research topics cover areas including:

  • Identification and Quantification in Food
  • Machine Learning and Data Classification
  • Environmental DNA in Biodiversity Studies
  • Imbalanced Data Classification Techniques
  • Anomaly Detection Techniques and Applications
  • Wildlife Ecology and Conservation
  • Food Supply Chain Traceability

Ludmila I. Kuncheva was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2012 for contributions to multiple classifier systems.

Best Publications

  • Combining Pattern Classifiers

    Ludmila I. Kuncheva

  • Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy

    Ludmila I. Kuncheva;Christopher J. Whitaker

  • Rotation Forest: A New Classifier Ensemble Method

    J.J. Rodriguez;L.I. Kuncheva;C.J. Alonso

  • Decision templates for multiple classifier fusion: an experimental comparison.

    Ludmila I. Kuncheva;James C. Bezdek;Robert P.W. Duin

  • A theoretical study on six classifier fusion strategies

    L.I. Kuncheva

  • Fuzzy Classifier Design

    Ludmila I. Kuncheva

  • Limits on the majority vote accuracy in classifier fusion

    Ludmila I. Kuncheva;Christopher J. Whitaker;Catherine A. Shipp;Robert P. W. Duin

  • Switching between selection and fusion in combining classifiers: an experiment

    L.I. Kuncheva

  • A stability index for feature selection

    Ludmila I. Kuncheva

  • Classifier Ensembles for Changing Environments

    Ludmila I. Kuncheva

  • Relationships between combination methods and measures of diversity in combining classifiers

    Catherine A. Shipp;Ludmila I. Kuncheva

  • Evaluation of Stability of k-Means Cluster Ensembles with Respect to Random Initialization

    L.I. Kuncheva;D.P. Vetrov

  • Using diversity in cluster ensembles

    L.I. Kuncheva;S.T. Hadjitodorov

  • Designing classifier fusion systems by genetic algorithms

    L.I. Kuncheva;L.C. Jain

  • Moderate diversity for better cluster ensembles

    Stefan T. Hadjitodorov;Ludmila I. Kuncheva;Ludmila P. Todorova

  • Is independence good for combining classifiers

    L.I. Kuncheva;C.J. Whitaker;C.A. Shipp;R.P.W. Duin

  • Nearest prototype classification: clustering, genetic algorithms, or random search?

    L.I. Kuncheva;J.C. Bezdek

  • Random Subspace Ensembles for fMRI Classification

    L.I. Kuncheva;J.J. Rodriguez;C.O. Plumpton;D.E.J. Linden

  • A weighted voting framework for classifiers ensembles

    Ludmila I. Kuncheva;Juan J. Rodríguez

  • Nearest neighbor classifier: simultaneous editing and feature selection

    Ludmila I. Kuncheva;Lakhmi C. Jain

  • Decision templates for multiple classi"er fusion: an experimental comparison

    Ludmila I. Kuncheva;James C. Bezdek;Robert P. W. Duin

Frequent Co-Authors

Christopher J. Whitaker
Christopher J. Whitaker Bangor University
James C. Bezdek
James C. Bezdek University of Melbourne
Robert P. W. Duin
Robert P. W. Duin Delft University of Technology
David Edmund Johannes Linden
David Edmund Johannes Linden Maastricht University
Sushmita Mitra
Sushmita Mitra Indian Statistical Institute
Carlo Sansone
Carlo Sansone University of Naples Federico II
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Raghu Krishnapuram
Raghu Krishnapuram Indian Institute of Science
Reyer Zwiggelaar
Reyer Zwiggelaar Aberystwyth University
Antonio Pescape
Antonio Pescape University of Naples Federico II

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