World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
16934
World Ranking
4710
National Ranking
15

Christian Igel 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 Christian Igel 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: 243 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Christian Igel 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 Christian Igel 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Christian Igel is affiliated with the University of Copenhagen in Denmark. Their research spans multiple fields, primarily focusing on computer science and environmental science.

Their main subfields of study include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Environmental Engineering
  • Global and Planetary Change
  • Nature and Landscape Conservation

Christian Igel's research covers various topics, including:

  • Remote Sensing and LiDAR Applications
  • Forest Ecology and Management
  • Remote Sensing in Agriculture
  • COVID-19 Diagnosis Using AI
  • Natural Language Processing Techniques
  • Speech Recognition and Synthesis
  • Forest Ecology and Biodiversity Studies

Their recent publications include:

  • "The Liver Tumor Segmentation Benchmark (LiTS)" (2022), published in Medical Image Analysis
  • "An unexpectedly large count of trees in the West African Sahara and Sahel" (2020), published in Nature
  • "Self-Supervised Speech Representation Learning: A Review" (2022), published in IEEE Journal of Selected Topics in Signal Processing
  • "U-Sleep: resilient high-frequency sleep staging" (2021), published in npj Digital Medicine
  • "Sub-continental-scale carbon stocks of individual trees in African drylands" (2023), published in Nature

Christian Igel frequently collaborates with several co-authors. Notable among them are:

  • Stefan Oehmcke
  • Ankit Kariryaa
  • Fabian Gieseke
  • Martin Brandt
  • Rasmus Fensholt

Their work has been disseminated across various publication venues, with multiple contributions to:

  • arXiv (Cornell University)
  • Research Square (Research Square)
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • KI - Künstliche Intelligenz

Best Publications

  • 2012 Special Issue: Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition

    J. Stallkamp;M. Schlipsing;J. Salmen;C. Igel

  • The German Traffic Sign Recognition Benchmark: A multi-class classification competition

    Johannes Stallkamp;Marc Schlipsing;Jan Salmen;Christian Igel

  • Detection of traffic signs in real-world images: The German traffic sign detection benchmark

    Sebastian Houben;Johannes Stallkamp;Jan Salmen;Marc Schlipsing

  • Covariance Matrix Adaptation for Multi-objective Optimization

    Christian Igel;Nikolaus Hansen;Stefan Roth

  • An Introduction to Restricted Boltzmann Machines

    Asja Fischer;Asja Fischer;Christian Igel

  • Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network

    Adhish Prasoon;Kersten Petersen;Christian Igel;François Lauze

  • Evolutionary tuning of multiple SVM parameters

    Frauke Friedrichs;Christian Igel

  • Training restricted Boltzmann machines

    Asja Fischer;Christian Igel

  • Empirical evaluation of the improved Rprop learning algorithms

    Christian Igel;Michael Hüsken

  • Improving the Rprop Learning Algorithm

    Christian Igel;Michael Husken

  • Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

    Michiel Kallenberg;Kersten Petersen;Mads Nielsen;Andrew Y. Ng

  • Self-Supervised Speech Representation Learning: A Review

    Unknown

  • U-Sleep: resilient high-frequency sleep staging

    Mathias Perslev;Sune Darkner;Lykke Kempfner;Miki Nikolic

  • Early detection of Alzheimer's disease using MRI hippocampal texture

    Lauge Sørensen;Christian Igel;Naja Liv Hansen;Merete Osler

  • A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies

    Christian Igel;Thorsten Suttorp;Nikolaus Hansen

  • Neuroevolution for reinforcement learning using evolution strategies

    C. Igel

  • Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry

    Lauge Sørensen;Christian Igel;Akshay Pai;Ioana Balas

  • Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search

    Verena Heidrich-Meisner;Christian Igel

  • Image processing and behavior planning for intelligent vehicles

    T. Bucher;C. Curio;J. Edelbrunner;C. Igel

  • U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

    Mathias Perslev;Michael Hejselbak Jensen;Sune Darkner;Poul Jørgen Jennum

  • A No-Free-Lunch Theorem for Non-Uniform Distributions of Target Functions

    Christian Igel;Marc Toussaint

  • Active learning with support vector machines

    Jan Kremer;Kim Steenstrup Pedersen;Christian Igel

Frequent Co-Authors

Mads Nielsen
Mads Nielsen University of Copenhagen
Marc Toussaint
Marc Toussaint Technical University of Berlin
Nikolaus Hansen
Nikolaus Hansen École Polytechnique
Marco Loog
Marco Loog Radboud University
Marc Modat
Marc Modat King's College London
Marleen de Bruijne
Marleen de Bruijne Erasmus University Rotterdam
Sebastien Ourselin
Sebastien Ourselin King's College London
Tom Heskes
Tom Heskes Radboud University
Ulas Bagci
Ulas Bagci Northwestern University
Gregor Schöner
Gregor Schöner Ruhr University Bochum

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