World's Best Scientists 2026 revealed!
Juan Manuel Górriz

Juan Manuel Górriz

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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
67
Citations
15090
World Ranking
2225
National Ranking
27

Juan Manuel Górriz 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 Juan Manuel Górriz 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: 470 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Juan Manuel Górriz 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 Juan Manuel Górriz 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: 67 D-Index — 85th percentile

85% 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

Juan Manuel Górriz is affiliated with the University of Granada in Spain. Their research contributions span multiple disciplines, including Medicine, Computer Science, and Neuroscience, with significant outputs in several specialized subfields.

The main fields of study include:

  • Medicine
  • Computer Science
  • Neuroscience

The subfields where Juan Manuel Górriz has focused research efforts include:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Neurology
  • Computer Vision and Pattern Recognition

The key topics covered in their work consist of:

  • COVID-19 diagnosis using AI
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • AI in cancer detection
  • Brain Tumor Detection and Classification
  • Radiomics and Machine Learning in Medical Imaging
  • Anomaly Detection Techniques and Applications

Juan Manuel Górriz has published extensively in various scientific venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Information Fusion
  • International Journal of Neural Systems
  • Neurocomputing
  • Computers in Biology and Medicine

Recent notable papers from the researcher are:

  • Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020), published in Information Fusion
  • Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network (2020), published in Information Fusion
  • Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network (2020), published in Information Processing & Management
  • Deep learning in food category recognition (2023), published in Information Fusion
  • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications (2020), published in Neurocomputing

The researcher collaborates frequently with a group of co-authors, among whom are:

  • Javier Ramírez
  • Yudong Zhang
  • Afshin Shoeibi
  • Roohallah Alizadehsani
  • Francisco J. Martínez-Murcia

Best Publications

  • Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

    Yu-Dong Zhang;Yu-Dong Zhang;Zhengchao Dong;Shui-Hua Wang;Shui-Hua Wang;Shui-Hua Wang;Xiang Yu

  • Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

    Andrés Ortiz;Jorge Munilla;Juan Manuel Górriz;Javier Ramírez

  • Voice Activity Detection. Fundamentals and Speech Recognition System Robustness

    J. Ramírez;J. M. Górriz;J. C. Segura

  • Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

    Yu-Dong Zhang;Yu-Dong Zhang;Suresh Chandra Satapathy;David S. Guttery;Juan Manuel Górriz

  • Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network.

    Shui Hua Wang;Shui Hua Wang;Shui Hua Wang;Vishnu Varthanan Govindaraj;Juan Manuel Górriz;Juan Manuel Górriz;Xin Zhang

  • Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images

    Laila Khedher;Javier Ramírez;Juan Manuel Górriz;Abdelbasset Brahim

  • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Juan M. Górriz;Juan M. Górriz;Javier Ramírez;Andrés Ortíz;Francisco J. Martínez-Murcia

  • Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

    Francisco J. Martinez-Murcia;Andres Ortiz;Juan-Manuel Gorriz;Javier Ramirez

  • Computer-aided diagnosis of Alzheimer's type dementia combining support vector machines and discriminant set of features

    J. RamíRez;J. M. GóRriz;D. Salas-Gonzalez;A. Romero

  • Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects

    Shuihua Wang;M. Emre Celebi;Yu-Dong Zhang;Xiang Yu

  • NMF-SVM Based CAD Tool Applied to Functional Brain Images for the Diagnosis of Alzheimer's Disease

    P. Padilla;M. Lopez;J. M. Gorriz;J. Ramirez

  • Brain connectivity analysis: a short survey

    E. W. Lang;A. M. Tomé;I. R. Keck;J. M. Górriz-Sáez

  • 18F-FDG PET imaging analysis for computer aided Alzheimer's diagnosis

    I. A. Illán;J. M. Górriz;J. Ramírez;D. Salas-Gonzalez

  • Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease

    M. López;J. Ramírez;J. M. Górriz;I. Álvarez

  • Multivariate Approach for Alzheimer's Disease Detection Using Stationary Wavelet Entropy and Predator-Prey Particle Swarm Optimization.

    Yudong Zhang;Shuihua Wang;Yuxiu Sui;Ming Yang

  • Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review.

    Afshin Shoeibi;Marjane Khodatars;Mahboobeh Jafari;Parisa Moridian

  • SVM-based computer-aided diagnosis of the Alzheimer's disease using t-test NMSE feature selection with feature correlation weighting

    R. Chaves;J. Ramírez;J.M. Górriz;M. López

  • Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

    Afshin Shoeibi;Delaram Sadeghi;Parisa Moridian;Navid Ghassemi

  • A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

    J.M. Gorriz;J. Ramirez;S. Cruces-Alvarez;C.G. Puntonet

  • NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network

    Siyuan Lu;Ziquan Zhu;Juan Manuel Gorriz;Shui-Hua Wang

  • An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works.

    Delaram Sadeghi;Afshin Shoeibi;Navid Ghassemi;Parisa Moridian

  • SVM-based CAD System for Early Detection of the Alzheimer's Disease Using Kernel PCA and LDA

    M.M. López;J. Ramírez;J.M. Górriz;I. Álvarez

  • Computer aided diagnosis system for the Alzheimer's disease based on partial least squares and random forest SPECT image classification

    J. Ramírez;J.M. Górriz;F. Segovia;R. Chaves

Frequent Co-Authors

Javier Ramírez
Javier Ramírez University of Granada
Carlos G. Puntonet
Carlos G. Puntonet University of Granada
Diego Salas-Gonzalez
Diego Salas-Gonzalez University of Granada
I. Álvarez
I. Álvarez University of Granada
Elmar Lang
Elmar Lang University of Regensburg
Shuihua Wang
Shuihua Wang Xi’an Jiaotong-Liverpool University
Yudong Zhang
Yudong Zhang University of Leicester
John Suckling
John Suckling University of Cambridge
Christophe Phillips
Christophe Phillips University of Liège
Roohallah Alizadehsani
Roohallah Alizadehsani Deakin University

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