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Gustau Camps-Valls

Gustau Camps-Valls

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Computer Science
Spain
2026

D-Index & Metrics

Computer Science

D-Index
88
Citations
39010
World Ranking
671
National Ranking
7

Gustau Camps-Valls 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 Gustau Camps-Valls 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: 519 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Gustau Camps-Valls 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 Gustau Camps-Valls 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: 88 D-Index — 95th percentile

95% 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

  • 2026 - Research.com Computer Science in Spain Leader Award
  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2018 - IEEE Fellow For contributions to machine learning in remote sensing

Overview

Gustau Camps-Valls is affiliated with the University of Valencia in Spain and has a research profile centered on environmental science and computer science, with an emphasis on the intersection of these fields through remote sensing and machine learning.

The main fields of study in their work include:

  • Environmental Science
  • Computer Science

Within these fields, their research covers the following subfields:

  • Global and Planetary Change
  • Artificial Intelligence
  • Ecology
  • Environmental Engineering
  • Media Technology

The scientist's work addresses various main topics, such as:

  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics
  • Climate Variability and Models
  • Remote-Sensing Image Classification
  • Plant Water Relations and Carbon Dynamics
  • Meteorological Phenomena and Simulations
  • Geochemistry and Geologic Mapping

Frequent co-authors in their publications include María Piles, Markus Reichstein, Adrián Pérez-Suay, Jordi Muñoz-Marí, and Miguel D. Mahecha, with collaboration counts ranging from 20 to 25 joint works.

Their research outputs have been published mainly in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Remote Sensing of Environment

Recent papers authored or co-authored by Gustau Camps-Valls include:

  • Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach (2020, Biogeosciences)
  • A unified vegetation index for quantifying the terrestrial biosphere (2021, Science Advances)
  • Emergent vulnerability to climate-driven disturbances in European forests (2021, Nature Communications)
  • Understanding deep learning in land use classification based on Sentinel-2 time series (2020, Scientific Reports)
  • Retrieval of aboveground crop nitrogen content with a hybrid machine learning method (2020, International Journal of Applied Earth Observation and Geoinformation)

Gustau Camps-Valls received the IEEE Fellow award in 2018 for contributions to machine learning in remote sensing.

Best Publications

  • Deep learning and process understanding for data-driven Earth system science

    Markus Reichstein;Gustau Camps-Valls;Bjorn Stevens;Martin Jung

  • Hyperspectral Remote Sensing Data Analysis and Future Challenges

    J. M. Bioucas-Dias;A. Plaza;G. Camps-Valls;P. Scheunders

  • Recent Advances in Techniques for Hyperspectral Image Processing

    Antonio Plaza;Jon Atli Benediktsson;Joseph W. Boardman;Jason Brazile

  • Kernel-based methods for hyperspectral image classification

    G. Camps-Valls;L. Bruzzone

  • Composite kernels for hyperspectral image classification

    G. Camps-Valls;L. Gomez-Chova;J. Munoz-Mari;J. Vila-Frances

  • Inferring causation from time series in Earth system sciences

    Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls

  • Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

    Gustavo Camps-Valls;Devis Tuia;Lorenzo Bruzzone;Jon Atli Benediktsson

  • Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis

    T.V. Bandos;L. Bruzzone;G. Camps-Valls

  • Unsupervised Deep Feature Extraction for Remote Sensing Image Classification

    Adriana Romero;Carlo Gatta;Gustau Camps-Valls

  • Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review

    Jochem Verrelst;Gustau Camps-Valls;Jordi Muñoz-Marí;Juan Pablo Rivera

  • Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms

    Gianluca Tramontana;Martin Jung;Christopher R. Schwalm;Kazuhito Ichii

  • Semi-Supervised Graph-Based Hyperspectral Image Classification

    G. Camps-Valls;T. Bandos Marsheva;D. Zhou

  • The FLUXCOM ensemble of global land-atmosphere energy fluxes

    Martin Jung;Sujan Koirala;Ulrich Weber;Kazuhito Ichii;Kazuhito Ichii

  • Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

    Jochem Verrelst;Jordi Muñoz;Luis Alonso;Jesús Delegido

  • Multimodal Classification of Remote Sensing Images: A Review and Future Directions

    Luis Gomez-Chova;Devis Tuia;Gabriele Moser;Gustau Camps-Valls

  • Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

    Jochem Verrelst;Zbynek Malenovsky;Zbynek Malenovsky;Christiaan van der Tol;Gustau Camps-Valls

  • Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection

    G. Camps-Valls;L. Gomez-Chova;J. Munoz-Mari;J.L. Rojo-Alvarez

  • Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods - A comparison

    Jochem Verrelst;Juan Pablo Rivera;Frank Veroustraete;Jordi Muñoz-Marí

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

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

  • Semisupervised Neural Networks for Efficient Hyperspectral Image Classification

    Frederic Ratle;Gustavo Camps-Valls;Jason Weston

  • Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

    D. Tuia;J. Verrelst;L. Alonso;F. Perez-Cruz

Frequent Co-Authors

Luis Gómez-Chova
Luis Gómez-Chova University of Valencia
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Jose Moreno
Jose Moreno University of Valencia
Luca Martino
Luca Martino King Juan Carlos University
Jochem Verrelst
Jochem Verrelst University of Valencia
Markus Reichstein
Markus Reichstein Max Planck Institute for Biogeochemistry
Devis Tuia
Devis Tuia École Polytechnique Fédérale de Lausanne
Luis Guanter
Luis Guanter Universitat Politècnica de València
Martin Jung
Martin Jung Max Planck Institute for Biogeochemistry
Emilio Soria-Olivas
Emilio Soria-Olivas University of Valencia

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