World's Best Scientists 2026 revealed!
José Manuel Benítez

José Manuel Benítez

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
42
Citations
10644
World Ranking
8222
National Ranking
113

José Manuel Benítez 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 José Manuel Benítez 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

José Manuel Benítez 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 José Manuel Benítez 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: 42 D-Index — 43rd percentile

43% 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

José Manuel Benítez is affiliated with the University of Granada in Spain. Their research spans multiple areas within medicine and computer science, with a focus on topics intersecting health and technology.

The main fields of study for José Manuel Benítez are Medicine and Computer Science. Within these areas, they have contributed notably to subfields such as Artificial Intelligence, Surgery, Epidemiology, Radiology, Nuclear Medicine and Imaging, and Genetics.

The research topics covered in their work include:

  • Microscopic Colitis
  • Time Series Analysis and Forecasting
  • Anomaly Detection Techniques and Applications
  • Inflammatory Bowel Disease
  • Complex Systems and Time Series Analysis
  • Advanced Neural Network Applications
  • Sports injuries and prevention

José Manuel Benítez has several recent publications relevant to these fields. Notable papers include:

  • "Multivariate times series classification through an interpretable representation," 2021, Information Sciences
  • "Complexity measures and features for times series classification," 2022, Expert Systems with Applications
  • "Optimizing Convolutional Neural Network Architectures," 2024, Mathematics
  • "The influence of limb role, direction of movement and limb dominance on movement strategies during block jump-landings in volleyball," 2021, Scientific Reports
  • "Can kinematic and kinetic differences between planned and unplanned volleyball block jump-landings be associated with injury risk factors?", 2020, Gait & Posture

The primary publication venues for their work include arXiv (Cornell University), Diagnostics, Gastroenterología y Hepatología, International Journal of Environmental Research and Public Health, and Revista Española de Enfermedades Digestivas.

Frequent co-authors in their research collaborations are:

  • Miguel Lastra
  • Luis Balderas
  • Antonio Jesús Láinez Ramos-Bossini
  • Francisco J. Baldán
  • Pilar Soto Escribano

Best Publications

  • On the use of cross-validation for time series predictor evaluation

    Christoph Bergmeir;José M. Benítez

  • Advances in Soft Computing

    Jose Manuel Benítez;Oscar Cordón;Frank Hoffmann;Rajkumar Roy

  • A review of microarray datasets and applied feature selection methods

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

  • Big data preprocessing: methods and prospects

    Salvador García;Sergio Ramírez-Gallego;Julián Luengo;José Manuel Benítez

  • Are artificial neural networks black boxes

    J.M. Benitez;J.L. Castro;I. Requena

  • On the use of MapReduce for imbalanced big data using Random Forest

    Sara del Río;Victoria López;José Manuel Benítez;Francisco Herrera

  • Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS

    Christoph Bergmeir;José M. Benítez

  • Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation

    Christoph Bergmeir;Rob J. Hyndman;José M. Benítez

  • Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks

    Alberto Fernández;Sara del Río;Victoria López;Abdullah Bawakid

  • Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data

    Victoria López;Sara del Río;José Manuel Benítez;Francisco Herrera

  • frbs: Fuzzy Rule-Based Systems for Classification and Regression in R

    Lala Septem Riza;Christoph Bergmeir;Francisco Herrera;Jose Manuel Benitez

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

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

  • Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”

    Lala Septem Riza;Andrzej Janusz;Christoph Bergmeir;Chris Cornelis

  • Data discretization: taxonomy and big data challenge

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

  • Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms

    Rafael Alcalá;Jose M. Benítez;Jorge Casillas;Oscar Cordón

  • A survey on fingerprint minutiae-based local matching for verification and identification

    Daniel Peralta;Mikel Galar;Isaac Triguero;Daniel Paternain

  • Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach

    Daniel Peralta;Sara del Río;Sergio Ramírez-Gallego;Isaac Triguero

  • Interpretation of artificial neural networks by means of fuzzy rules

    J.L. Castro;C.J. Mantas;J.M. Benitez

  • Artificial neural network-based equation for estimating VO2max from the 20m shuttle run test in adolescents

    Jonatan R. Ruiz;Jorge Ramirez-Lechuga;Francisco B. Ortega;José Castro-Piñero

  • Segmentation of cervical cell nuclei in high-resolution microscopic images

    Christoph Bergmeir;Miguel García Silvente;José Manuel Benítez

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Isaac Triguero
Isaac Triguero University of Nottingham
Salvador García
Salvador García University of Granada
Verónica Bolón-Canedo
Verónica Bolón-Canedo University of A Coruña
Amparo Alonso-Betanzos
Amparo Alonso-Betanzos University of A Coruña
Mikel Galar
Mikel Galar Universidad Publica De Navarra
Alberto Fernández
Alberto Fernández University of Granada
Oscar Cordón
Oscar Cordón University of Granada
Yvan Saeys
Yvan Saeys Ghent University
Edurne Barrenechea
Edurne Barrenechea Universidad Publica De Navarra

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