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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
48
Citations
12260
World Ranking
6083
National Ranking
80

Javier Plaza 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 Javier Plaza 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: 176 publications — 37th percentile

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

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

Javier Plaza 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 Javier Plaza 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: 48 D-Index — 58th percentile

58% 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

Javier Plaza is affiliated with the University of Extremadura in Spain and focuses on research within engineering and computer science. Their work predominantly spans media technology, computer vision and pattern recognition, atmospheric science, artificial intelligence, and ecology. This interdisciplinary approach addresses complex problems primarily in remote sensing and image classification.

The scientist's research topics prominently include:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques
  • Advanced Image and Video Retrieval Techniques
  • Image and Signal Denoising Methods
  • Remote Sensing in Agriculture
  • Video Surveillance and Tracking Methods

Javier Plaza has published extensively in several frequent venues, reflecting an emphasis on remote sensing and geoscience:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • Remote Sensing
  • The Journal of Supercomputing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Among their recent published papers are:

  • "Ghostnet for Hyperspectral Image Classification," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Scalable recurrent neural network for hyperspectral image classification," 2020, The Journal of Supercomputing
  • "Hyperspectral Anomaly Detection With Relaxed Collaborative Representation," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification," 2020, Remote Sensing
  • "FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification," 2020, IEEE Transactions on Geoscience and Remote Sensing

Their collaboration network includes frequent coauthors such as Antonio Plaza, Mercedes E. Paoletti, Juan M. Haut, Xuanwen Tao, and Lirong Han. The number of joint publications with these coauthors ranges from 7 to 26, indicating sustained research partnerships.

Best Publications

  • Deep learning classifiers for hyperspectral imaging: A review

    M.E. Paoletti;J.M. Haut;J. Plaza;A. Plaza

  • Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

    Pedram Ghamisi;Naoto Yokoya;Jun Li;Wenzhi Liao

  • A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data

    A. Plaza;P. Martinez;R. Perez;J. Plaza

  • Spatial/spectral endmember extraction by multidimensional morphological operations

    A. Plaza;P. Martinez;R. Perez;J. Plaza

  • Advanced Spectral Classifiers for Hyperspectral Images: A review

    Pedram Ghamisi;Javier Plaza;Yushi Chen;Jun Li

  • A new deep convolutional neural network for fast hyperspectral image classification

    M.E. Paoletti;J.M. Haut;J. Plaza;A. Plaza

  • Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification

    Mercedes E. Paoletti;Juan Mario Haut;Ruben Fernandez-Beltran;Javier Plaza

  • Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations

    A. Plaza;P. Martinez;J. Plaza;R. Perez

  • Capsule Networks for Hyperspectral Image Classification

    Mercedes E. Paoletti;Juan Mario Haut;Ruben Fernandez-Beltran;Javier Plaza

  • Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach

    Juan Mario Haut;Mercedes E. Paoletti;Javier Plaza;Jun Li

  • Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling

    Nanjun He;Leyuan Fang;Shutao Li;Antonio Plaza

  • Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification

    Nanjun He;Mercedes E. Paoletti;Juan Mario Haut;Leyuan Fang

  • Commodity cluster-based parallel processing of hyperspectral imagery

    Antonio Plaza;David Valencia;Javier Plaza;Pablo Martinez

  • Visual Attention-Driven Hyperspectral Image Classification

    Juan Mario Haut;Mercedes E. Paoletti;Javier Plaza;Antonio Plaza

  • Skip-Connected Covariance Network for Remote Sensing Scene Classification

    Nanjun He;Leyuan Fang;Shutao Li;Javier Plaza

  • A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles

    Antonio J. Plaza;Pablo Martínez;Rosa M. Pérez;Javier Plaza

  • A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution

    Juan Mario Haut;Ruben Fernandez-Beltran;Mercedes E. Paoletti;Javier Plaza

  • A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation

    Leyuan Fang;Nanjun He;Shutao Li;Antonio J. Plaza

  • Parallel Hyperspectral Image and Signal Processing [Applications Corner]

    Antonio Plaza;Javier Plaza;Abel Paz;Sergio Sánchez

  • A Single Model CNN for Hyperspectral Image Denoising

    Alessandro Maffei;Juan M. Haut;Mercedes Eugenia Paoletti;Javier Plaza

  • On the use of small training sets for neural network-based characterization of mixed pixels in remotely sensed hyperspectral images

    Javier Plaza;Antonio Plaza;Rosa Perez;Pablo Martinez

Frequent Co-Authors

Antonio Plaza
Antonio Plaza University of Extremadura
Mercedes E. Paoletti
Mercedes E. Paoletti University of Extremadura
Juan Mario Haut
Juan Mario Haut University of Extremadura
Filiberto Pla
Filiberto Pla Jaume I University
Paolo Gamba
Paolo Gamba University of Pavia
Shutao Li
Shutao Li Hunan University
Leyuan Fang
Leyuan Fang Hunan University
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Chein-I Chang
Chein-I Chang University of Maryland, Baltimore County
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology

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