World's Best Scientists 2026 revealed!
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Computer Science
Mexico
2026

D-Index & Metrics

Computer Science

D-Index
48
Citations
7141
World Ranking
6260
National Ranking
7

Hugo Jair Escalante 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 Hugo Jair Escalante 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Hugo Jair Escalante 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 Hugo Jair Escalante 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: 48 D-Index — 58th percentile

58% 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

  • 2026 - Research.com Computer Science in Mexico Leader Award

Overview

Hugo Jair Escalante is affiliated with the National Institute of Astrophysics, Optics and Electronics in Mexico. Their research contributions lie primarily within the field of Computer Science, with significant focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems, and Social Psychology.

The main topics of their work include:

  • Biometric Identification and Security
  • Face recognition and analysis
  • Machine Learning and Data Classification
  • Face and Expression Recognition
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Anomaly Detection Techniques and Applications

Escalante's frequent coauthors are:

  • Sérgio Escalera
  • Guodong Guo
  • Stan Z. Li
  • Jun Wan
  • Eduardo F. Morales

They have published extensively in venues such as arXiv (Cornell University), Neural Computing and Applications, Pattern Recognition Letters, Computación y Sistemas, and IEEE Transactions on Biometrics Behavior and Identity Science.

Some recent significant papers include:

  • "CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing," 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • "Modeling, Recognizing, and Explaining Apparent Personality From Videos," 2020, IEEE Transactions on Affective Computing
  • "Cross-ethnicity face anti-spoofing recognition challenge: A review," 2020, IET Biometrics
  • "Recognition of facial expressions based on CNN features," 2020, Multimedia Tools and Applications
  • "Multi-branch deep radial basis function networks for facial emotion recognition," 2021, Neural Computing and Applications

In addition to articles, Escalante has contributed to book publications mainly with Springer Science+Business Media and Morgan & Claypool Publishers. Their Springer publications primarily relate to the "Pattern Recognition. ICPR International Workshops and Challenges" series, published in 2021. They have also authored works such as "Multi-Modal Face Presentation Attack Detection" (2020) and "Advances in Face Presentation Attack Detection" (2023) with Morgan & Claypool Publishers.

Best Publications

  • The segmented and annotated IAPR TC-12 benchmark

    Hugo Jair Escalante;Carlos A. Hernández;Jesus A. Gonzalez;A. López-López

  • Chalearn looking at people challenge 2014: Dataset and results

    Sergio Escalera;Xavier Baró;Jordi Gonzàlez;Miguel Ángel Bautista

  • ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results

    Víctor Ponce-López;Víctor Ponce-López;Baiyu Chen;Marc Oliu;Ciprian A. Corneanu

  • Multi-modal gesture recognition challenge 2013: dataset and results

    Sergio Escalera;Jordi Gonzàlez;Xavier Baró;Miguel Reyes

  • Particle Swarm Model Selection

    Hugo Jair Escalante;Manuel Montes;Luis Enrique Sucar

  • Taking Human out of Learning Applications: A Survey on Automated Machine Learning

    Quanming Yao;Mengshuo Wang;Hugo Jair Escalante;Isabelle Guyon

  • A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences

    Maryam Asadi-Aghbolaghi;Albert Clapes;Marco Bellantonio;Hugo Jair Escalante

  • ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results

    Sergio Escalera;Junior Fabian;Pablo Pardo;Xavier Baro

  • CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing

    Shifeng Zhang;Ajian Liu;Jun Wan;Yanyan Liang

  • Local Histograms of Character N-grams for Authorship Attribution

    Hugo Jair Escalante;Thamar Solorio;Manuel Montes-y-Gomez

  • Analysis of facial expressions in parkinson's disease through video-based automatic methods

    Andrea Bandini;Andrea Bandini;Silvia Orlandi;Hugo Jair Escalante;Fabio Giovannelli

  • Design of the 2015 ChaLearn AutoML challenge

    Isabelle Guyon;Kristin Bennett;Gavin Cawley;Hugo Jair Escalante

  • ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016

    Sergio Escalera;Sergio Escalera;Mercedes Torres Torres;Brais Martinez;Xavier Baro

  • Analysis of the AutoML Challenge Series 2015–2018

    Isabelle Guyon;Isabelle Guyon;Lisheng Sun-Hosoya;Lisheng Sun-Hosoya;Marc Boullé;Hugo Jair Escalante

  • The ChaLearn gesture dataset (CGD 2011)

    Isabelle Guyon;Vassilis Athitsos;Pat Jangyodsuk;Hugo Jair Escalante

  • ChaLearn gesture challenge: Design and first results

    Isabelle Guyon;Vassilis Athitsos;Pat Jangyodsuk;Ben Hamner

  • ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview

    Hugo Jair Escalante;Victor Ponce-Lopez;Jun Wan;Michael A. Riegler

  • Late fusion of heterogeneous methods for multimedia image retrieval

    Hugo Jair Escalante;Carlos A. Hérnadez;Luis Enrique Sucar;Manuel Montes

  • Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges

    Jun Wan;Sergio Escalera;Gholamreza Anbarjafari;Hugo Jair Escalante

  • Split and Merge Watershed: a two-step method for cell segmentation in fluorescence microscopy images.

    Margarita Gamarra;Eduardo E. Zurek;Hugo Jair Escalante;Leidy Hurtado

  • Explainable and interpretable models in computer vision and machine learning

    H.J. Escalante;S. Escalera;I. Guyon;X. Baró

Frequent Co-Authors

Sergio Escalera
Sergio Escalera University of Barcelona
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Manuel Montes-y-Gómez
Manuel Montes-y-Gómez National Institute of Astrophysics, Optics and Electronics
Fabio A. González
Fabio A. González National University of Colombia
Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington
Marcel A. J. van Gerven
Marcel A. J. van Gerven Radboud University
L. Enrique Sucar
L. Enrique Sucar National Institute of Astrophysics, Optics and Electronics
Guodong Guo
Guodong Guo West Virginia University
Jordi Gonzàlez
Jordi Gonzàlez Autonomous University of Barcelona

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