World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
34490
World Ranking
2138
National Ranking
90

Wojciech Samek 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 Wojciech Samek 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Wojciech Samek 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 Wojciech Samek 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Wojciech Samek is affiliated with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute in Germany. Their research is primarily situated within the field of Computer Science, with a strong emphasis on Artificial Intelligence, contributing to 214 publications in this subfield. Additional areas of research include Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Health Informatics, and Cognitive Neuroscience.

The scientist's work spans several topics within machine learning and AI, notably:

  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Privacy-Preserving Technologies in Data
  • Domain Adaptation and Few-Shot Learning

Wojciech Samek has published extensively, including highly cited papers such as:

  • Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications, 2021, Proceedings of the IEEE
  • Artificial Intelligence in Dentistry: Chances and Challenges, 2020, Journal of Dental Research
  • PTB-XL, a large publicly available electrocardiography dataset, 2020, Scientific Data
  • Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions, 2024, Information Fusion
  • Pruning by explaining: A novel criterion for deep neural network pruning, 2021, Pattern Recognition

Frequent collaborators include Sebastian Lapuschkin, Klaus-Robert Müller, Thomas Wiegand, Frederik Pahde, and Grégoire Montavon. This network of coauthors indicates active engagement in collaborative research efforts centered around explainable AI and machine learning methods.

Wojciech Samek's work is frequently published in venues such as:

  • arXiv (Cornell University)
  • Information Fusion
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Dental Research
  • Pattern Recognition

In addition to journal papers, the scientist has contributed to academic literature through books, including a publication with Cambridge University Press titled Mathematical Aspects of Deep Learning (2022).

Best Publications

  • On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation.

    Sebastian Bach;Alexander Binder;Grégoire Montavon;Frederick Klauschen

  • Methods for interpreting and understanding deep neural networks

    Grégoire Montavon;Wojciech Samek;Klaus Robert Müller;Klaus Robert Müller;Klaus Robert Müller

  • Explaining nonlinear classification decisions with deep Taylor decomposition

    Grégoire Montavon;Sebastian Lapuschkin;Alexander Binder;Wojciech Samek

  • A Unifying Review of Deep and Shallow Anomaly Detection

    Lukas Ruff;Jacob R. Kauffmann;Robert A. Vandermeulen;Gregoire Montavon

  • Unmasking Clever Hans predictors and assessing what machines really learn.

    Sebastian Lapuschkin;Stephan Wäldchen;Alexander Binder;Grégoire Montavon

  • Explainable artificial intelligence: Understanding, visualizing and interpreting deep learning models

    Wojciech Samek;Thomas Wiegand;Klaus-Robert Müller

  • Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

    Felix Sattler;Simon Wiedemann;Klaus-Robert Muller;Wojciech Samek

  • Evaluating the Visualization of What a Deep Neural Network Has Learned

    Wojciech Samek;Alexander Binder;Gregoire Montavon;Sebastian Lapuschkin

  • Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

    Sebastian Bosse;Dominique Maniry;Klaus-Robert Muller;Thomas Wiegand

  • Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications

    Wojciech Samek;Gregoire Montavon;Sebastian Lapuschkin;Christopher J. Anders

  • Explainable ai – preface

    Wojciech Samek;Grégoire Montavon;Andrea Vedaldi;Lars Kai Hansen

  • Artificial Intelligence in Dentistry: Chances and Challenges.

    F. Schwendicke;W. Samek;J. Krois

  • PTB-XL, a large publicly available electrocardiography dataset

    Patrick Wagner;Patrick Wagner;Patrick Wagner;Nils Strodthoff;Ralf-Dieter Bousseljot;Dieter Kreiseler

  • Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

    Felix Sattler;Klaus-Robert Muller;Wojciech Samek

  • Layer-Wise Relevance Propagation: An Overview

    Grégoire Montavon;Alexander Binder;Sebastian Lapuschkin;Wojciech Samek

  • Towards Explainable Artificial Intelligence

    Wojciech Samek;Klaus Robert Müller;Klaus Robert Müller;Klaus Robert Müller

  • Explainable AI Methods - A Brief Overview

    Unknown

  • Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers

    Alexander Binder;Grégoire Montavon;Sebastian Lapuschkin;Klaus-Robert Müller;Klaus-Robert Müller

  • Interpretable deep neural networks for single-trial EEG classification

    Irene Sturm;Sebastian Lapuschkin;Wojciech Samek;Klaus Robert Müller

  • Explaining Recurrent Neural Network Predictions in Sentiment Analysis

    Leila Arras;Grégoire Montavon;Klaus-Robert Müller;Wojciech Samek

  • Robust and Communication-Efficient Federated Learning from Non-IID Data

    Felix Sattler;Simon Wiedemann;Klaus-Robert Müller;Wojciech Samek

  • Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers

    Alexander Binder;Grégoire Montavon;Sebastian Bach;Klaus-Robert Müller

Frequent Co-Authors

Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Grégoire Montavon
Grégoire Montavon Freie Universität Berlin
Thomas Wiegand
Thomas Wiegand Technical University of Berlin
Detlev Marpe
Detlev Marpe Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Heiko Schwarz
Heiko Schwarz Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Hauke R. Heekeren
Hauke R. Heekeren Universität Hamburg
Gitta Kutyniok
Gitta Kutyniok Ludwig-Maximilians-Universität München
Thomas Schierl
Thomas Schierl Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Peter Eisert
Peter Eisert Humboldt-Universität zu Berlin
Guido Nolte
Guido Nolte Universität Hamburg

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