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Verónica Bolón-Canedo

Verónica Bolón-Canedo

University of A Coruña
Spain

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 36 11043 10731 181 179 148 8054

Verónica Bolón-Canedo publications per year

The chart shows the history of publications by Verónica Bolón-Canedo between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Verónica Bolón-Canedo published across 17 years, from 2009 to 2025, averaging 10.9 papers a year. Output peaked at 23 publications in 2015. 27 of the 186 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2015. 2009: 1 publication 2010: 4 publications 2011: 7 publications 2012: 4 publications 2013: 5 publications 2014: 9 publications 2015: 23 publications 2016: 13 publications 2017: 13 publications 2018: 19 publications 2019: 12 publications 2020: 11 publications 2021: 5 publications 2022: 18 publications 2023: 15 publications 2024: 13 publications 2025: 14 publications
2009 2025

186 publications in total across all disciplines

View publications per year as a table
Verónica Bolón-Canedo: publications per year, 2009 to 2025
Year Publications
2009 1
2010 4
2011 7
2012 4
2013 5
2014 9
2015 23
2016 13
2017 13
2018 19
2019 12
2020 11
2021 5
2022 18
2023 15
2024 13
2025 14
Total 186
Download as CSV

Verónica Bolón-Canedo 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 Verónica Bolón-Canedo sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 142–151 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609 148
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Verónica Bolón-Canedo 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 Verónica Bolón-Canedo sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 36–37 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990 36
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Verónica Bolón-Canedo is affiliated with the University of A Coruña in Spain and focuses primarily on research in computer science. Their work spans a range of topics within this broad field, with a significant emphasis on artificial intelligence and machine learning.

The main areas of study and research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Molecular Biology
  • Computer Networks and Communications

The scientist's research interests are reflected in their coverage of topics such as:

  • Machine Learning and Data Classification
  • Face and Expression Recognition
  • Neural Networks and Applications
  • Imbalanced Data Classification Techniques
  • Anomaly Detection Techniques and Applications
  • Sentiment Analysis and Opinion Mining
  • Domain Adaptation and Few-Shot Learning

Verónica Bolón-Canedo has published extensively, with a total of 88 publications categorized under computer science. The frequent venues for their work include:

  • SSRN Electronic Journal
  • Neurocomputing
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Pattern Recognition

Among recent papers authored or co-authored, the following stand out:

  • "A review of green artificial intelligence: Towards a more sustainable future" (2024, Neurocomputing)
  • "Spatial-temporal feature-based End-to-end Fourier network for 3D sign language recognition" (2024, Expert Systems with Applications)
  • "How important is data quality? Best classifiers vs best features" (2021, Neurocomputing)
  • "Do all roads lead to Rome? Studying distance measures in the context of machine learning" (2023, Pattern Recognition)
  • "Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning" (2022, Information Sciences)

Collaboration is an important aspect of Verónica Bolón-Canedo's work. The most frequent co-authors include:

  • Laura Morán-Fernández
  • Amparo Alonso-Betanzos
  • Beatriz Remeseiro
  • Eva Blanco-Mallo
  • Brais Cancela

Best Publications

  • A review of feature selection methods on synthetic data

    Verónica Bolón-Canedo;Noelia Sánchez-Maroño;Amparo Alonso-Betanzos

  • A review of feature selection methods in medical applications.

    Beatriz Remeseiro;Veronica Bolon-Canedo

  • A review of microarray datasets and applied feature selection methods

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos;J. M. Benítez

  • Ensembles for feature selection: A review and future trends

    Verónica Bolón-Canedo;Amparo Alonso-Betanzos

  • Feature selection for high-dimensional data

    Unknown

  • Recent advances and emerging challenges of feature selection in the context of big data

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • Ensemble feature selection: Homogeneous and heterogeneous approaches

    Borja Seijo-Pardo;Iago Porto-Díaz;Verónica Bolón-Canedo;Amparo Alonso-Betanzos

  • Feature selection and classification in multiple class datasets

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • An ensemble of filters and classifiers for microarray data classification

    V. BolóN-Canedo;N. SáNchez-MaroñO;A. Alonso-Betanzos

  • Distributed feature selection

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data

    Sergio Ramírez-Gallego;Iago Lastra;David Martínez-Rego;Verónica Bolón-Canedo

  • Data discretization: taxonomy and big data challenge

    Sergio Ramírez-Gallego;Salvador García;Héctor Mouriño-Talín;David Martínez-Rego;David Martínez-Rego

  • Feature selection in image analysis: a survey

    Verónica Bolón-Canedo;Beatriz Remeseiro

  • Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the “i-ROP” System and Image Features Associated With Expert Diagnosis

    Esra Ataer-Cansizoglu;Veronica Bolon-Canedo;J. Peter Campbell;Alican Bozkurt

  • Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis.

    J. Peter Campbell;Esra Ataer-Cansizoglu;Veronica Bolon-Canedo;Alican Bozkurt

  • An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark

    Sergio Ramirez-Gallego;Hector Mourino-Talin;David Martinez-Rego;Veronica Bolon-Canedo

  • Data classification using an ensemble of filters

    V. Bolón-Canedo;N. Sánchez-Maroño;A. Alonso-Betanzos

  • A framework for cost-based feature selection

    Verónica Bolón-Canedo;Iago Porto-Díaz;Noelia Sánchez-Maroño;Amparo Alonso-Betanzos

  • On developing an automatic threshold applied to feature selection ensembles

    Borja Seijo-Pardo;Verónica Bolón-Canedo;Amparo Alonso-Betanzos

  • Centralized vs. distributed feature selection methods based on data complexity measures

    L. Morán-Fernández;V. Bolón-Canedo;A. Alonso-Betanzos

  • On the use of feature selection to improve the detection of sea oil spills in SAR images

    David Mera;Veronica Bolon-Canedo;J.M. Cotos;Amparo Alonso-Betanzos

  • Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

    Amparo Alonso-Betanzos;Verónica Bolón-Canedo

Frequent Co-Authors

Amparo Alonso-Betanzos
Amparo Alonso-Betanzos University of A Coruña
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Deniz Erdogmus
Deniz Erdogmus Northeastern University
Francisco Herrera
Francisco Herrera University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada
João Gama
João Gama University of Porto
Kristin P. Bennett
Kristin P. Bennett Rensselaer Polytechnic Institute
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Jose C. Principe
Jose C. Principe University of Florida
Salvador García
Salvador García University of Granada

External Links

Personal website of Verónica Bolón-Canedo

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Related Online Degrees & Career Pathways

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Best Scientists Citing Verónica Bolón-Canedo

Francisco Herrera

Francisco Herrera

University of Granada

Publications: 32

Jayashree Kalpathy-Cramer

Jayashree Kalpathy-Cramer

Harvard University

Publications: 21

Salvador García

Salvador García

University of Granada

Publications: 16

Enrico Zio

Enrico Zio

Polytechnic University of Milan

Publications: 14

Deniz Erdogmus

Deniz Erdogmus

Northeastern University

Publications: 14

Alberto Fernández

Alberto Fernández

University of Granada

Publications: 13

Amparo Alonso-Betanzos

Amparo Alonso-Betanzos

University of A Coruña

Publications: 11

Stratis Ioannidis

Stratis Ioannidis

Northeastern University

Publications: 10

Hossein Nezamabadi-pour

Hossein Nezamabadi-pour

Shahid Bahonar University of Kerman

Publications: 10

Julián Luengo

Julián Luengo

University of Granada

Publications: 9

Xindong Wu

Xindong Wu

Hefei University of Technology

Publications: 8

Jennifer G. Dy

Jennifer G. Dy

Northeastern University

Publications: 8

Mohammed Azmi Al-Betar

Mohammed Azmi Al-Betar

Ajman University of Science and Technology

Publications: 8

Mikel Galar

Mikel Galar

Universidad Publica De Navarra

Publications: 7

Jerome I. Rotter

Jerome I. Rotter

UCLA Medical Center

Publications: 6

Kent D. Taylor

Kent D. Taylor

David Geffen School of Medicine at UCLA

Publications: 6

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