World's Best Scientists 2026 revealed!
Paul Scheunders

Paul Scheunders

D-Index & Metrics

Computer Science

D-Index
50
Citations
11524
World Ranking
5561
National Ranking
62

Paul Scheunders 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 Paul Scheunders 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: 315 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Paul Scheunders 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 Paul Scheunders 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Paul Scheunders is affiliated with the University of Antwerp in Belgium and specializes in engineering, with a strong focus on media technology as a subfield. Their research contributions extend to several related subfields including ecology, analytical chemistry, atmospheric science, and computer vision and pattern recognition.

The scientist's work covers key topics such as remote-sensing image classification, advanced image fusion techniques, remote sensing in agriculture, spectroscopy and chemometric analyses, remote sensing and land use, leaf properties and growth measurement, and image and signal denoising methods.

Paul Scheunders has contributed multiple papers to notable publication venues which reflect their research focus. Frequent venues include:

  • IEEE Transactions on Geoscience and Remote Sensing (12 publications)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (5 publications)
  • arXiv (Cornell University) (5 publications)
  • Remote Sensing (4 publications)
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (4 publications)

Recent publications by Paul Scheunders demonstrate ongoing activity in hyperspectral unmixing and related remote sensing techniques, including:

  • "Hyperspectral Unmixing Using Transformer Network," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "UnDIP: Hyperspectral Unmixing Using Deep Image Prior," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress," 2022, Computers and Electronics in Agriculture
  • "HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network," 2022, IEEE Transactions on Geoscience and Remote Sensing

The scientist has collaborated frequently with several researchers, including:

  • Bikram Koirala (23 joint publications)
  • Behnood Rasti (17 joint publications)
  • Pedram Ghamisi (6 joint publications)
  • Richard Gloaguen (6 joint publications)
  • Thomas De Kerf (5 joint publications)

In addition to journal articles, Paul Scheunders has contributed to book publications, including authorship in a volume published by Springer Science+Business Media titled "Advanced Concepts for Intelligent Vision Systems" in 2020.

Best Publications

  • Hyperspectral Remote Sensing Data Analysis and Future Challenges

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

  • Statistical texture characterization from discrete wavelet representations

    G. Van de Wouwer;P. Scheunders;D. Van Dyck

  • Maximum-likelihood estimation of Rician distribution parameters

    J. Sijbers;A.J. den Dekker;P. Scheunders;D. Van Dyck

  • Noise Reduction in Hyperspectral Imagery: Overview and Application

    Behnood Rasti;Paul Scheunders;Pedram Ghamisi;Giorgio Licciardi

  • Close range hyperspectral imaging of plants: A review

    Puneet Mishra;Puneet Mishra;Mohd Shahrimie Mohd Asaari;Ana Herrero-Langreo;Santosh Lohumi

  • A genetic c-means clustering algorithm applied to color image quantization

    Paul Scheunders

  • Noise-Resistant Wavelet-Based Bayesian Fusion of Multispectral and Hyperspectral Images

    Yifan Zhang;S. De Backer;P. Scheunders

  • Watershed-based segmentation of 3D MR data for volume quantization

    J. Sijbers;P. Scheunders;M. Verhoye;A. Van der Linden

  • Fully Constrained Least Squares Spectral Unmixing by Simplex Projection

    R. Heylen;D. Burazerovic;P. Scheunders

  • A Multilinear Mixing Model for Nonlinear Spectral Unmixing

    Rob Heylen;Paul Scheunders

  • Wavelet correlation signatures for color texture characterization

    G. Van de Wouwer;P. Scheunders;S Livens;D Van Dyck

  • Semisupervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images

    Wenzhi Liao;A. Pizurica;P. Scheunders;W. Philips

  • A comparison of clustering algorithms applied to color image quantization

    P. Scheunders

  • A band selection technique for spectral classification

    S. De Backer;P. Kempeneers;W. Debruyn;P. Scheunders

  • Hyperspectral Unmixing Using Transformer Network

    Unknown

  • Non-Linear Spectral Unmixing by Geodesic Simplex Volume Maximization

    R Heylen;D Burazerovic;P Scheunders

  • Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform

    Mohd Shahrimie Mohd Asaari;Mohd Shahrimie Mohd Asaari;Puneet Mishra;Stien Mertens;Stijn Dhondt

  • Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure.

    J. Sijbers;P. Scheunders;N. Bonnet;D. Van Dyck

  • Wavelets for texture analysis, an overview

    S. Livens;P. Scheunders;G. van de Wouwer;D. Van Dyck

  • Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery

    Shixin Yu;Steve De Backer;Paul Scheunders

  • Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery

    P. Kempeneers;P. J. Zarco-Tejada;P. R. J. North;S. de Backer

  • Wavelets for texture analysis: an overview

    S. Livens;P. Scheunders;G. van de Wouwer;P. Vautrot

  • Noise-Resistant Wavelet-B ased Bayesian Fusion of Multispectral and Hyperspectral Images

    Yifan Zhang;Steve De Backer;Paul Scheunders

Frequent Co-Authors

Wilfried Philips
Wilfried Philips Ghent University
Jan Sijbers
Jan Sijbers University of Antwerp
Pol Coppin
Pol Coppin KU Leuven
Aleksandra Pizurica
Aleksandra Pizurica Ghent University
Wenzhi Liao
Wenzhi Liao Ghent University
Koen Hufkens
Koen Hufkens Ghent University
Lammert Kooistra
Lammert Kooistra Wageningen University & Research
Johan Driesen
Johan Driesen KU Leuven
Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada Spanish National Research Council
Paul D. Gader
Paul D. Gader University of Florida

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