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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
25548
World Ranking
1565
National Ranking
36

Devis Tuia 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 Devis Tuia 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: 350 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Devis Tuia 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 Devis Tuia 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: 73 D-Index — 89th percentile

89% 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 Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Devis Tuia is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland, contributing research predominantly in the fields of Environmental Science and Computer Science. Their work often intersects with subfields such as Computer Vision and Pattern Recognition, Ecology, Artificial Intelligence, Global and Planetary Change, and Media Technology.

Their research encompasses a variety of topics including Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Species Distribution and Climate Change, Multimodal Machine Learning Applications, Remote-Sensing Image Classification, Remote Sensing in Agriculture, and Land Use and Ecosystem Services.

Notable recent publications by Devis Tuia include:

  • Perspectives in machine learning for wildlife conservation, 2022, published in Nature Communications

Frequently collaborating with several researchers, Devis Tuia has coauthored multiple works with Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Marc Rußwurm, and Robin Zbinden.

Their publications have appeared in numerous venues, predominantly in:

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

Other recent relevant papers related to their field of study, although not authored by them directly, include:

  • RSVQA: Visual Question Answering for Remote Sensing Data, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • A deep learning framework for matching of SAR and optical imagery, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities, 2022, IEEE Geoscience and Remote Sensing Magazine
  • Defining and spatially modelling cultural ecosystem services using crowdsourced data, 2020, Ecosystem Services

Best Publications

  • Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep learning in remote sensing: a review

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

    Ilke Demir;Krzysztof Koperski;David Lindenbaum;Guan Pang

  • Optimal Transport for Domain Adaptation

    Nicolas Courty;Remi Flamary;Devis Tuia;Alain Rakotomamonjy

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

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

  • A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

    Devis Tuia;Michele Volpi;Loris Copa;Mikhail Kanevski

  • Active Learning Methods for Remote Sensing Image Classification

    D. Tuia;F. Ratle;F. Pacifici;M.F. Kanevski

  • Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

    Devis Tuia;Claudio Persello;Lorenzo Bruzzone

  • Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

    Michele Volpi;Devis Tuia

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

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

  • DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

    Bharath Bhushan Damodaran;Benjamin Kellenberger;Rémi Flamary;Devis Tuia

  • Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks

    Michele Volpi;Devis Tuia

  • Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

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

  • Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning

    Benjamin Kellenberger;Diego Marcos;Devis Tuia

  • Supervised change detection in VHR images using contextual information and support vector machines

    Michele Volpi;Devis Tuia;Francesca Bovolo;Mikhail F. Kanevski

  • Rotation Equivariant Vector Field Networks

    Diego Marcos;Michele Volpi;Nikos Komodakis;Devis Tuia

  • Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models

    Diego Marcos;Diego Marcos;Michele Volpi;Benjamin Kellenberger;Devis Tuia;Devis Tuia

  • Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

    Wenzhi Liao;Xin Huang;Frieke Van Coillie;Sidharta Gautama

  • Learning Relevant Image Features With Multiple-Kernel Classification

    Devis Tuia;Gustavo Camps-Valls;Giona Matasci;Mikhail Kanevski

  • Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification

    Giona Matasci;Michele Volpi;Mikhail Kanevski;Lorenzo Bruzzone

  • Using active learning to adapt remote sensing image classifiers

    D. Tuia;E. Pasolli;W.J. Emery

Frequent Co-Authors

Mikhail Kanevski
Mikhail Kanevski University of Lausanne
Gabriele Moser
Gabriele Moser University of Genoa
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
William J. Emery
William J. Emery University of Colorado Boulder
Alain Rakotomamonjy
Alain Rakotomamonjy Criteo (France)
Alexandre X. Falcão
Alexandre X. Falcão State University of Campinas
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich

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