World's Best Scientists 2026 revealed!
Emilio Soria-Olivas

Emilio Soria-Olivas

D-Index & Metrics

Computer Science

D-Index
36
Citations
4282
World Ranking
11389
National Ranking
196

Emilio Soria-Olivas 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 Emilio Soria-Olivas 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: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Emilio Soria-Olivas 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 Emilio Soria-Olivas 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Emilio Soria-Olivas is affiliated with the University of Valencia in Spain and has a research profile spanning several intersecting fields including Computer Science and Medicine. Their scholarly work includes 24 publications in Computer Science and 19 in Medicine, demonstrating a multidisciplinary approach.

The scientist's research prominently focuses on subfields such as Artificial Intelligence, Signal Processing, Management Science and Operations Research, Radiology, Nuclear Medicine and Imaging, and Clinical Psychology. This broad spectrum reflects involvement in varied scientific domains, from developing computational methods to clinical applications.

Main topics covered in their research include:

  • COVID-19 diagnosis using AI
  • Computational Drug Discovery Methods
  • Anomaly Detection Techniques and Applications
  • Forecasting Techniques and Applications
  • Time Series Analysis and Forecasting
  • EEG and Brain-Computer Interfaces
  • Remote Sensing in Agriculture

Frequent collaborators in their research include Juan Gómez-Sanchís, Antonio J. Serrano-López, Marcelino Martínez-Sober, Fernando Mateo, and Joan Vila-Francés. These collaborations have contributed to advancing topics in the scientist's core areas.

The venues where Emilio Soria-Olivas most frequently publishes include arXiv (Cornell University), Expert Systems with Applications, Applied Sciences, Toxicology Letters, and Sensors. The presence in both preprint archives and peer-reviewed journals indicates engagement with open research as well as formal publication channels.

Representative recent papers include:

  • "Approaching sales forecasting using recurrent neural networks and transformers," 2022, Expert Systems with Applications
  • "Machine Learning for Mortality Analysis in Patients with COVID-19," 2020, International Journal of Environmental Research and Public Health
  • "Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition," 2021, Sensors
  • "CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture," 2020, Agronomy
  • "Exploring the Heterogeneity and Trajectories of Positive Functioning Variables, Emotional Distress, and Post-traumatic Growth During Strict Confinement Due to COVID-19," 2021, Journal of Happiness Studies

Best Publications

  • Robust support vector method for hyperspectral data classification and knowledge discovery

    G. Camps-Valls;L. Gomez-Chova;J. Calpe-Maravilla;J.D. Martin-Guerrero

  • Multi-dimensional function approximation and regression estimation

    Fernando Perez-Cruz;Gustavo Camps-Valls;Emilio Soria-Olivas;Juan José Perez-Ruixo

  • Letters: Regularized extreme learning machine for regression problems

    José M. MartíNez-MartíNez;Pablo Escandell-Montero;Emilio Soria-Olivas;José D. MartíN-Guerrero

  • BELM: Bayesian Extreme Learning Machine

    E Soria-Olivas;J Gomez-Sanchis;J D Martin;J Vila-Frances

  • Support Vector Machines for Nonlinear Kernel ARMA System Identification

    M. Martinez-Ramon;J.L. Rojo-Alvarez;G. Camps-Valls;J. Munoz-Mari

  • Optimization of anemia treatment in hemodialysis patients via reinforcement learning.

    Pablo Escandell-Montero;Milena Chermisi;José María Martínez-Martínez;Juan Gómez-Sanchís

  • Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques

    Juan Gómez-Sanchis;José D. Martín-Guerrero;Emilio Soria-Olivas;Marcelino Martínez-Sober

  • Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

    Andrés Larroza;David Moratal;Alexandra Paredes-Sánchez;Emilio Soria-Olivas

  • Urban monitoring using multi-temporal SAR and multi-spectral data

    Luis Gomez-Chova;Diego Fernández-Prieto;Javier Calpe;Emilio Soria

  • Support Vector Machines for Crop Classification Using Hyperspectral Data

    Gustavo Camps-Valls;Luis Gómez-Chova;Javier Calpe-Maravilla;Emilio Soria-Olivas

  • Foetal ECG recovery using dynamic neural networks

    Gustavo Camps-Valls;Marcelino Martınez-Sober;Emilio Soria-Olivas;Rafael Magdalena-Benedito

  • Neural networks for analysing the relevance of input variables in the prediction of tropospheric ozone concentration

    Juan Gómez-Sanchis;José D. Martín-Guerrero;Emilio Soria-Olivas;Joan Vila-Francés

  • Machine learning methods to forecast temperature in buildings

    Fernando Mateo;Juan José Carrasco;Abderrahim Sellami;MóNica MilláN-Giraldo

  • Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

    J. Gómez-Sanchis;J. Blasco;E. Soria-Olivas;D. Lorente

  • Support vector machines framework for linear signal processing

    J. L. Rojo-Álvarez;G. Camps-Valls;M. Martínez-Ramón;E. Soria-Olivas

  • FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches

    Alfredo Rosado-Muñoz;M Bataller-Mompeán;E Soria-Olivas;C Scarante

  • Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modelling

    O. Pastor-Bárcenas;E. Soria-Olivas;J.D. Martín-Guerrero;G. Camps-Valls

  • Application of adaptive signal processing for determining the limits of P and T waves in an ECG

    E. Soria-Olivas;M. Martinez-Sober;J. Calpe-Maravilla;J.F. Guerrero-Martinez

  • Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

    D. Lorente;J. Blasco;A. J. Serrano;E. Soria-Olivas

  • Fuzzy sigmoid kernel for support vector classifiers

    G. Camps-Valls;J.D. Martín-Guerrero;J.L. Rojo-Álvarez;E. Soria-Olivas

Frequent Co-Authors

Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
José Blasco
José Blasco University of Valencia
Jose Moreno
Jose Moreno University of Valencia
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Aníbal R. Figueiras-Vidal
Aníbal R. Figueiras-Vidal Carlos III University of Madrid
Paulo J. G. Lisboa
Paulo J. G. Lisboa Liverpool John Moores University
Josep Redon
Josep Redon University of Valencia
Rose Anne Kenny
Rose Anne Kenny Trinity College Dublin

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