World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8026
World Ranking
12412
National Ranking
228

Senén Barro 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 Senén Barro 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Senén Barro 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 Senén Barro 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

Senén Barro is affiliated with the University of Santiago de Compostela in Spain and has contributed extensively to the field of computer science, focusing primarily on artificial intelligence and its applications. Their research spans several subfields including artificial intelligence, computer science applications, electrical and electronic engineering, computer vision and pattern recognition, as well as computer networks and communications.

Their recent publications highlight contributions to various areas within these fields. Notable papers include:

  • "AI literacy in K-12: a systematic literature review," 2023, International Journal of STEM Education
  • "Non-IID data and Continual Learning processes in Federated Learning: A long road ahead," 2022, Information Fusion
  • "Concept drift detection and adaptation for federated and continual learning," 2021, Multimedia Tools and Applications
  • "Fast Support Vector Classification for Large-Scale Problems," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Walking Recognition in Mobile Devices," 2020, Sensors

Frequent topics addressed in their work include:

  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • Data Stream Mining Techniques
  • Machine Learning and Data Classification
  • Evolutionary Algorithms and Applications
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and ELM (Extreme Learning Machine)

Senén Barro has collaborated with multiple researchers on numerous projects. Regular co-authors include Fernando E. Casado, Roberto Iglesias, Carlos V. Regueiro, Manuel Fernández-Delgado, and Eva Cernadas.

Their research has been published in a variety of venues, reflecting diversity in dissemination channels. These include:

  • arXiv (Cornell University)
  • AEA Randomized Controlled Trials
  • International Journal of STEM Education
  • Information Fusion
  • Multimedia Tools and Applications

Throughout their work, Senén Barro has focused on advancing knowledge in machine learning methodologies and AI applications, particularly in contexts involving data privacy, federated learning, and adaptive learning systems.

Best Publications

  • Do we need hundreds of classifiers to solve real world classification problems?

    Unknown

  • Do we need hundreds of classifiers to solve real world classification problems

    Manuel Fernández-Delgado;Eva Cernadas;Senén Barro;Dinani Amorim

  • An extensive experimental survey of regression methods

    M. Fernández-Delgado;M.S. Sirsat;E. Cernadas;S. Alawadi

  • Algorithmic sequential decision-making in the frequency domain for life threatening ventricular arrhythmias and imitative artefacts: a diagnostic system

    S. Barro;R. Ruiz;D. Cabello;J. Mira

  • Fuzzy Logic in Medicine

    Senen Barro;R. Marin

  • Fuzzy reasoning supported by Petri nets

    A.J. Bugarin;S. Barro

  • A model and a language for the fuzzy representation and handling of time

    Senén Barro;Roque Marín;José Mira;Alfonso R. Patón

  • Classifying multichannel ECG patterns with an adaptive neural network

    S. Barro;M. Fernandez-Delgado;J.A. Vila-Sobrino;C.V. Regueiro

  • Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data

    Alejandro Ramos-Soto;Alberto Jose Bugarin;Senen Barro;Juan Taboada

  • A new approach for TU complex characterization

    J.A. Vila;Yi Gang;J.M.R. Presedo;M. Fernandez-Delgado

  • Design of a fuzzy controller in mobile robotics using genetic algorithms

    M. Mucientes;D. L. Moreno;A. Bugarín;S. Barro

  • Automatic prediction of village-wise soil fertility for several nutrients in India using a wide range of regression methods

    Unknown

  • Intelligent telemonitoring of critical-care patients

    S. Barro;J. Presedo;D. Castro;M. Fernandez-Delgado

  • On the role of linguistic descriptions of data in the building of natural language generation systems

    A. Ramos-Soto;A. Bugarín;S. Barro

  • Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

    Marcos F. Criado;Fernando E. Casado;Roberto Iglesias;Carlos V. Regueiro

  • People and machines: Partners in innovation

    S. Barro;T.H. Davenport;T.H. Davenport

  • Concept drift detection and adaptation for federated and continual learning

    Unknown

  • Rapid Method for Finding Faulty Elements in Antenna Arrays Using Far Field Pattern Samples

    J. A. Rodriguez-Gonzalez;F. Ares-Pena;M. Fernandez-Delgado;R. Iglesias

  • SUTIL: Intelligent ischemia monitoring system

    J. Vila;J. Presedo;M. Delgado;S. Barro

  • Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

    Manuel Fernández-Delgado;Eva Cernadas;Senén Barro;Jorge Ribeiro

  • A framework for fuzzy quantification models analysis

    S. Barro;A.J. Bugarin;P. Carinena;F. Diaz-Hermida

  • Fuzzy temporal rules for mobile robot guidance in dynamic environments

    M. Mucientes;R. Iglesias;C.V. Regueiro;A. Bugarin

  • A fuzzy temporal rule-based velocity controller for mobile robotics

    M. Mucientes;R. Iglesias;C. V. Regueiro;A. Bugarín

  • Element failure detection in linear antenna arrays using case-based reasoning

    R. Iglesias;F. Ares;M. Fernandez-Delgado;J. Rodriguez

Frequent Co-Authors

Marek Malik
Marek Malik Imperial College London
José Neves
José Neves University of Porto
J. Uceda
J. Uceda Technical University of Madrid
Enric Trillas
Enric Trillas Technical University of Madrid

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