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César Hervás-Martínez

César Hervás-Martínez

University of Córdoba
Spain

D-Index & Metrics

Computer Science

D-Index
40
Citations
7818
World Ranking
9215
National Ranking
142

César Hervás-Martínez 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 César Hervás-Martínez 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: 291 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

César Hervás-Martínez 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 César Hervás-Martínez 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

César Hervás-Martínez is affiliated with the University of Córdoba in Spain and has contributed extensively to the fields of Computer Science and Medicine. Their research primarily spans Artificial Intelligence, Electrical and Electronic Engineering, Surgery, Signal Processing, and Computer Vision and Pattern Recognition.

The scientist's notable topics of study include:

  • Anomaly Detection Techniques and Applications
  • Time Series Analysis and Forecasting
  • Energy Load and Power Forecasting
  • Complex Systems and Time Series Analysis
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Organ Transplantation Techniques and Outcomes

César Hervás-Martínez has published multiple papers, among which recent works are:

  • "Multi-task learning for the prediction of wind power ramp events with deep neural networks," 2020, Neural Networks
  • "Evolutionary artificial neural networks for accurate solar radiation prediction," 2020, Energy
  • "Time-Series Clustering Based on the Characterization of Segment Typologies," 2020, IEEE Transactions on Cybernetics
  • "Development and validation of the Gender-Equity Model for Liver Allocation (GEMA) to prioritise candidates for liver transplantation: a cohort study," 2022, The Lancet. Gastroenterology & Hepatology
  • "Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation," 2021, PLoS ONE

Frequent co-authors with whom they have collaborated include:

  • Pedro Antonio Gutiérrez
  • David Guijo-Rubio
  • Víctor Manuel Vargas
  • Antonio M. Gómez-Orellana
  • Rafael Ayllón-Gavilán

The publication venues where the scientist's work appears most often are:

  • arXiv (Cornell University)
  • PLoS ONE
  • Expert Systems with Applications
  • Neurocomputing
  • Journal of Hepatology

César Hervás-Martínez's research reflects a blend of computational techniques and medical applications, often focusing on machine learning models for time series analysis and forecasting, as well as methodologies relevant to organ transplantation outcomes.

Best Publications

  • Ordinal Regression Methods: Survey and Experimental Study

    Pedro Antonio Gutierrez;Maria Perez-Ortiz;Javier Sanchez-Monedero;Francisco Fernandez-Navarro

  • Cooperative coevolution of artificial neural network ensembles for pattern classification

    N. Garcia-Pedrajas;C. Hervas-Martinez;D. Ortiz-Boyer

  • COVNET: a cooperative coevolutionary model for evolving artificial neural networks

    N. Garcia-Pedrajas;C. Hervas-Martinez;J. Munoz-Perez

  • JCLEC: a Java framework for evolutionary computation

    Sebastián Ventura;Cristóbal Romero;Amelia Zafra;José A. Delgado

  • Object-Based Image Classification of Summer Crops with Machine Learning Methods

    José M. Peña;Pedro Antonio Gutiérrez;César Hervás-Martínez;Johan Six

  • A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

    M. Pérez-Ortiz;J.M. Peña;P.A. Gutiérrez;J. Torres-Sánchez

  • Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

    María Pérez-Ortiz;José Manuel Peña;Pedro Antonio Gutiérrez;Jorge Torres-Sánchez

  • A dynamic over-sampling procedure based on sensitivity for multi-class problems

    Francisco Fernández-Navarro;César Hervás-Martínez;Pedro Antonio Gutiérrez

  • A Review of Classification Problems and Algorithms in Renewable Energy Applications

    María Pérez-Ortiz;Silvia Jiménez-Fernández;Pedro A. Gutiérrez;Enrique Alexandre

  • Use of artificial intelligence as an innovative donor-recipient matching model for liver transplantation: results from a multicenter Spanish study.

    Javier Briceño;Manuel Cruz-Ramírez;Martín Prieto;Miguel Navasa

  • Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks)

    N. García-Pedrajas;C. Hervás-Martínez;J. Muñoz-Pérez

  • Evolutionary product unit based neural networks for regression

    Alfonso Martínez-Estudillo;Francisco Martínez-Estudillo;César Hervás-Martínez;Nicolás García-Pedrajas

  • Hybridization of evolutionary algorithms and local search by means of a clustering method

    A.C. Martinez-Estudillo;C. Hervas-Martinez;F.J. Martinez-Estudillo;N. Garcia-Pedrajas

  • Improving artificial neural networks with a pruning methodology and genetic algorithms for their application in microbial growth prediction in food.

    Rosa Marı́a Garcı́a-Gimeno;César Hervás-Martı́nez;Maria Isabel de Silóniz

  • Metrics to guide a multi-objective evolutionary algorithm for ordinal classification

    M. Cruz-Ramírez;C. Hervás-Martínez;J. Sánchez-Monedero;P.A. Gutiérrez

  • An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization

    Nicolás García-Pedrajas;Domingo Ortiz-Boyer;César Hervás-Martínez

  • Evolutionary product-unit neural networks classifiers

    F. J. Martínez-Estudillo;C. Hervás-Martínez;P. A. Gutiérrez;A. C. Martínez-Estudillo

  • Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks

    Pedro Antonio Gutiérrez;César Hervás-Martínez;Francisco J Martínez-Estudillo

  • PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis

    A. Castaño;F. Fernández-Navarro;C. Hervás-Martínez

  • Modelling the growth of Leuconostoc mesenteroides by Artificial Neural Networks.

    R.M. García-Gimeno;C. Hervás-Martínez;R. Rodríguez-Pérez;G. Zurera-Cosano

  • CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features

    N. García-Pedrajas;C. Hervás-Martínez;D. Ortiz-Boyer

Frequent Co-Authors

Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez University of Córdoba
Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Nicolás García-Pedrajas
Nicolás García-Pedrajas University of Córdoba
Francisca López-Granados
Francisca López-Granados Spanish National Research Council
José C. Riquelme
José C. Riquelme University of Seville
Xin Yao
Xin Yao Lingnan University
M.P. Dorado
M.P. Dorado University of Córdoba
Nigel Heaton
Nigel Heaton King's College London
Rafal Mantiuk
Rafal Mantiuk University of Cambridge
Peter Tino
Peter Tino University of Birmingham

External Links

Personal website of César Hervás-Martínez Google Scholar page

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Best Scientists Citing César Hervás-Martínez

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Salvador García

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Publications: 22

Bartosz Krawczyk

Bartosz Krawczyk

Rochester Institute of Technology

Publications: 21

Mohammad Ali Ahmadi

Mohammad Ali Ahmadi

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Publications: 19

Nicolás García-Pedrajas

Nicolás García-Pedrajas

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Publications: 15

Xin Yao

Xin Yao

Lingnan University

Publications: 14

Alberto Fernández

Alberto Fernández

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Publications: 11

Ajith Abraham

Ajith Abraham

Sai University

Publications: 10

Teresa B. Ludermir

Teresa B. Ludermir

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Publications: 10

Seyed Reza Shadizadeh

Seyed Reza Shadizadeh

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Publications: 10

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Siti Mariyam Shamsuddin

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Publications: 10

Mikel Galar

Mikel Galar

Universidad Publica De Navarra

Publications: 9

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Francisca López-Granados

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Publications: 9

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Chinese Academy of Sciences

Publications: 8

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