World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
24107
World Ranking
6283
National Ranking
291

Pierre Soille 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 Pierre Soille 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: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Pierre Soille 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 Pierre Soille 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Pierre Soille is affiliated with the Joint Research Centre in Germany. Their research primarily focuses on environmental science, with particular emphasis on remote sensing applications in agriculture, land use, and ecosystems. They work at the intersection of data management, algorithms, and distributed computing systems applied to geospatial and remote sensing data.

The scientist's main fields of study include Environmental Science, with subfields such as Ecology, Computer Networks and Communications, Media Technology, Atmospheric Science, and Global and Planetary Change. The following main topics are frequently covered in their work:

  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Data Management and Algorithms
  • Distributed and Parallel Computing Systems

They have contributed to multiple publication venues, notably:

  • Joint Research Centre (European Commission)
  • Data in Brief
  • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • IEEE Transactions on Big Data
  • Remote Sensing

Pierre Soille's recent papers include:

  • A global cloud free pixel-based image composite from Sentinel-2 data, 2020, Data in Brief
  • MORPHOLOGICAL SPATIAL PATTERN ANALYSIS: OPEN SOURCE RELEASE, 2022, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • Special Issue on Big Data From Space, 2020, IEEE Transactions on Big Data
  • Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure, 2022, Remote Sensing
  • Europe's Space capabilities for the benefit of the Arctic, 2020, Joint Research Centre (European Commission)

Frequent co-authors collaborating with Pierre Soille include:

  • Pieter Kempeneers
  • Martino Pesaresi
  • Asturiol Bofill David
  • Cardona Melisande
  • Castillo Carlos

Best Publications

  • Watersheds in digital spaces: an efficient algorithm based on immersion simulations

    L. Vincent;P. Soille

  • Morphological Image Analysis: Principles and Applications

    Pierre Soille

  • Morphological Image Analysis

    Pierre Soille

  • Morphological segmentation of binary patterns

    Pierre Soille;Peter Vogt

  • A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

    Martino Pesaresi;Guo Huadong;Xavier Blaes;Daniele Ehrlich

  • Advances in mathematical morphology applied to geoscience and remote sensing

    P. Soille;M. Pesaresi

  • Mathematical morphology and its applications to image processing

    Jean Serra;Pierre Soille

  • Constrained connectivity for hierarchical image partitioning and simplification

    P. Soille

  • Convolutional neural networks for global human settlements mapping from Sentinel-2 satellite imagery

    Christina Corbane;Vasileios Syrris;Filip Sabo;Panagiotis Politis

  • Directional morphological filtering

    P. Soille;H. Talbot

  • Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas

    Martino Pesaresi;Christina Corbane;Andreea Julea;Aneta J. Florczyk

  • Carving and Adaptive Drainage Enforcement of Grid Digital Elevation Models

    Pierre Soille;Jürgen Vogt;Roberto Colombo

  • Information extraction from very high resolution satellite imagery over Lukole refugee camp, Tanzania

    S. Giada;T. De Groeve;D. Ehrlich;P. Soille

  • Determining watersheds in digital pictures via flooding simulations

    Pierre Soille;Luc M. Vincent

  • Recursive implementation of erosions and dilations along discrete lines at arbitrary angles

    P. Soille;E.J. Breen;R. Jones

  • A versatile data-intensive computing platform for information retrieval from big geospatial data

    Pierre Soille;A. Burger;D. De Marchi;Pieter Kempeneers

  • Automated basin delineation from digital elevation models using mathematical morphology

    P. J. Soille;M. M. Ansoult

  • Automated global delineation of human settlements from 40 years of Landsat satellite data archives

    Christina Corbane;Martino Pesaresi;Thomas Kemper;Panagiotis Politis

  • On the Validity of Fractal Dimension Measurements in Image Analysis

    Pierre Soille;Jean-François Rivest

  • Morphological gradients

    Unknown

  • Morphological image compositing

    P. Soille

  • GHS-BUILT R2015B - GHS built-up confidence grid, derived from Landsat, multitemporal (1975, 1990, 2000, 2014)

    Martino Pesaresi;Daniele Ehrlich;Aneta Florczyk;Sergio Freire

Frequent Co-Authors

Roberto Colombo
Roberto Colombo University of Milano-Bicocca
Jürgen Vogt
Jürgen Vogt European Commission
Maria Luisa Paracchini
Maria Luisa Paracchini European Commission
Kurt H. Riitters
Kurt H. Riitters United States Department of Agriculture
Jean Serra
Jean Serra Mines ParisTech
Laurent Najman
Laurent Najman École Supérieure d'Ingénieurs en Électrotechnique et Électronique
Hugues Talbot
Hugues Talbot University of Paris-Saclay
Paul F. Whelan
Paul F. Whelan Dublin City University
Jan Verbesselt
Jan Verbesselt Wageningen University & Research
Huadong Guo
Huadong Guo Chinese Academy of Sciences

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