World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
56
Citations
10685
World Ranking
4128
National Ranking
54

Enrique Vidal 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 Enrique Vidal 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: 320 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Enrique Vidal 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 Enrique Vidal 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: 56 D-Index — 72nd percentile

72% 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

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Enrique Vidal is a researcher affiliated with the Universitat Politècnica de València in Spain, specializing in computer science with a particular focus on computer vision and pattern recognition. Their scholarly work spans a wide range of subjects within this domain.

The researcher has contributed significantly to the study of handwritten text recognition techniques, image processing and 3D reconstruction, image retrieval and classification techniques, natural language processing techniques, music and audio processing, vehicle license plate recognition, and advanced image and video retrieval techniques.

Enrique Vidal's recent scientific publications include:

  • End-to-End page-Level assessment of handwritten text recognition, 2023, Pattern Recognition
  • A proxy learning curve for the Bayes classifier, 2022, Pattern Recognition
  • Pattern recognition techniques for provenance classification of archaeological ceramics using ultrasounds, 2020, Pattern Recognition Letters
  • Graph Regularization Methods in Soft Detector Fusion, 2023, IEEE Access
  • Reading order detection on handwritten documents, 2022, Neural Computing and Applications

Their frequent co-authors consist of:

  • Alejandro H. Toselli
  • Joan Puigcerver
  • José Ramón Fernández Prieto
  • Joan Andreu Sánchez
  • Lorenzo Quirós

Enrique Vidal has published extensively in various scientific venues. The most common venues for their publications are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Pattern Recognition Letters
  • SSRN Electronic Journal
  • Neural Computing and Applications

In addition to journal and conference articles, Vidal has contributed to book literature, including a recorded publication in 'The "information retrieval series' with the 2024 title Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images.

The scope of their research covers subfields including computer vision and pattern recognition, artificial intelligence, signal processing, media technology, and computer networks and communications. This interdisciplinary approach supports the diversity of applications and methods evident in their work.

Best Publications

  • A new version of the nearest-neighbour approximating and eliminating search algorithm (AESA) with linear preprocessing time and memory requirements

    María Luisa Micó;José Oncina;Enrique Vidal

  • Computation of normalized edit distance and applications

    A. Marzal;E. Vidal

  • Probabilistic finite-state machines - part II

    E. Vidal;F. Thollard;C. de la Higuera;F. Casacuberta

  • Statistical approaches to computer-assisted translation

    Sergio Barrachina;Oliver Bender;Francisco Casacuberta;Jorge Civera

  • Inference of k-testable languages in the strict sense and application to syntactic pattern recognition

    P. Garcia;E. Vidal

  • Learning subsequential transducers for pattern recognition interpretation tasks

    J. Oncina;P. Garcia;E. Vidal

  • Optimum polygonal approximation of digitized curves

    Juan-Carlos Perez;Enrique Vidal

  • Learning weighted metrics to minimize nearest-neighbor classification error

    R. Paredes;E. Vidal

  • Machine Translation with Inferred Stochastic Finite-State Transducers

    Francisco Casacuberta;Enrique Vidal

  • INTEGRATED HANDWRITING RECOGNITION AND INTERPRETATION USING FINITE-STATE MODELS

    Alejandro Héctor Toselli;Alfons Juan;Jorge González;Ismael Salvador

  • Finite-state speech-to-speech translation

    E. Vidal

  • What Is the Search Space of the Regular Inference

    Pierre Dupont;Laurent Miclet;Laurent Miclet;Enrique Vidal

  • New formulation and improvements of the nearest-neighbour approximating and eliminating search algorithm (AESA)

    Enrique Vidal

  • Face authentication test on the BANCA database

    K. Messer;J. Kittler;M. Sadeghi;M. Hamouz

  • Multimodal interactive transcription of text images

    Alejandro H. Toselli;Verónica Romero;Moisés Pastor;Enrique Vidal

  • The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

    VeróNica Romero;Alicia FornéS;NicoláS Serrano;Joan Andreu SáNchez

  • Learning Locally Testable Languages in the Strict Sense.

    Pedro García;Enrique Vidal;José Oncina

  • Probabilistic finite-state machines - part II

    Unknown

  • ICFHR2016 Competition on Handwritten Text Recognition on the READ Dataset

    Joan Andreu Sanchez;Veronica Romero;Alejandro H. Toselli;Enrique Vidal

  • The EuTrans Spoken Language Translation System

    Juan Carlos Amengual;Asunción Castaño;Antonio Castellanos;Victor M. Jiménez

  • Some approaches to statistical and finite-state speech-to-speech translation

    F. Casacuberta;H. Ney;F.J. Och;E. Vidal

  • Face authentication test on the BANCA database

    K. Messer;J. Kittler;M. Sadeghi;M. Hamouz

Frequent Co-Authors

Francisco Casacuberta
Francisco Casacuberta Universitat Politècnica de València
Hermann Ney
Hermann Ney RWTH Aachen University
Daniel Keysers
Daniel Keysers Google (United States)
Alicia Fornés
Alicia Fornés Autonomous University of Barcelona
Thomas Deselaers
Thomas Deselaers Apple (United States)
Basilis Gatos
Basilis Gatos National Centre of Scientific Research Demokritos
Roberto Pieraccini
Roberto Pieraccini Google (United States)
Josef Kittler
Josef Kittler University of Surrey
Luc Vandendorpe
Luc Vandendorpe Université Catholique de Louvain
Joaquín Dopazo
Joaquín Dopazo Institute of Biomedicine of Seville

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a range of interdisciplinary and flexible learning paths, especially through online education. Students seeking a fast-tracked option may benefit from programs such as an accelerated cs degree, which allows you to complete your studies quicker and begin your career sooner.

If you're interested in broader applications of science and technology, there are many related fields to consider. For a sustainable future, earning an environmental engineer degree online can prepare you to tackle global environmental challenges with engineering solutions.

Mechanical engineering continues to be a high-demand field. You can gain technical skills efficiently and affordably through the cheapest online mechanical engineering degree programs—ideal for those balancing work, life, and study.

For those passionate about foundational science, an online bachelor's degree in physics provides a strong theoretical and analytical background, supporting careers in research, education, or technology.

With these diverse online options, students can chart unique pathways, tailored to their interests and career goals, all while enjoying the flexibility offered by distance learning.

Best Scientists Citing Enrique Vidal

Trending Scientists

Recently Published Articles