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Klaus-Robert Müller
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Computer Science
Germany
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 161 21 20 3 3 753 140992

Klaus-Robert Müller publications per year

The chart shows the history of publications by Klaus-Robert Müller between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Klaus-Robert Müller published across 56 years, from 1970 to 2025, averaging 16 papers a year. Output peaked at 55 publications in 2019. 50 of the 896 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1970 to 2025. Vertical axis: number of publications, 0 to 55. Peak 55 publications in 2019. 1970: 2 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 0 publications 1995: 2 publications 1996: 6 publications 1997: 6 publications 1998: 20 publications 1999: 18 publications 2000: 13 publications 2001: 12 publications 2002: 8 publications 2003: 17 publications 2004: 21 publications 2005: 22 publications 2006: 37 publications 2007: 51 publications 2008: 24 publications 2009: 35 publications 2010: 33 publications 2011: 30 publications 2012: 43 publications 2013: 28 publications 2014: 35 publications 2015: 36 publications 2016: 45 publications 2017: 49 publications 2018: 43 publications 2019: 55 publications 2020: 49 publications 2021: 48 publications 2022: 35 publications 2023: 21 publications 2024: 34 publications 2025: 16 publications
1970 2025

896 publications in total across all disciplines

View publications per year as a table
Klaus-Robert Müller: publications per year, 1970 to 2025
Year Publications
1970 2
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 1
1990 0
1991 0
1992 0
1993 1
1994 0
1995 2
1996 6
1997 6
1998 20
1999 18
2000 13
2001 12
2002 8
2003 17
2004 21
2005 22
2006 37
2007 51
2008 24
2009 35
2010 33
2011 30
2012 43
2013 28
2014 35
2015 36
2016 45
2017 49
2018 43
2019 55
2020 49
2021 48
2022 35
2023 21
2024 34
2025 16
Total 896
Download as CSV

Klaus-Robert Müller publications per year - data summary

  • Klaus-Robert Müller, a Computer Science scholar from Technical University of Berlin, has 896 publications recorded across 56 years, from 1970 to 2025.
  • The oldest publication on record dates to 1970 and the most recent to 2025.
  • The most productive year is 2019, with 55 publications.
  • The least productive years with any output are 1989 and 1993, with 1 publication each.
  • 22 of the 56 years in the span carry no publications at all (1971, 1972, 1973, 1974 and others).
  • The rate of publication averages 16.0 papers per year over the whole span, or 26.4 per year counting only the 34 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 154 publications, 17% of the career total.
  • Split into equal eras - 1970-1988: 2 publications (0.1 per year); 1989-2007: 235 publications (12.4 per year); 2008-2025: 659 publications (36.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Klaus-Robert Müller 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 Klaus-Robert Müller sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 752–761 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 753 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10 753
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Klaus-Robert Müller publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Klaus-Robert Müller, a Computer Science scholar from Technical University of Berlin, records 753 publications - the 98th percentile of the discipline.
  • 98% of ranked Computer Science scientists score the same or lower than Klaus-Robert Müller, and about 2% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Klaus-Robert Müller ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Klaus-Robert Müller 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 Klaus-Robert Müller sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 131+ D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 161 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98 161
Download as CSV

Klaus-Robert Müller D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Klaus-Robert Müller, a Computer Science scholar from Technical University of Berlin, records 161 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Klaus-Robert Müller, and about 0% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Klaus-Robert Müller ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Computer Science in Germany Leader Award
  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Klaus-Robert Müller is a researcher affiliated with the Technical University of Berlin in Germany. Their academic focus spans multiple fields with an emphasis on artificial intelligence and its applications in medicine and materials science.

Their recent works include a range of publications addressing explainable artificial intelligence, machine learning methods, and medical imaging. Notable papers are:

  • Higher-Order Explanations of Graph Neural Networks via Relevant Walks, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Mammography Image Quality Assurance Using Deep Learning, 2020, IEEE Transactions on Biomedical Engineering
  • Fairwashing Explanations with Off-Manifold Detergent, 2020, arXiv (Cornell University)
  • Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology, 2021, Preprints.org
  • Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence, 2025, Nature Cancer

Their research contributions cover several key fields of study:

  • Computer Science
  • Medicine

Within these fields, subfields that receive particular attention include:

  • Artificial Intelligence
  • Materials Chemistry
  • Oncology
  • Radiology, Nuclear Medicine and Imaging
  • Computational Theory and Mathematics

Müller's work addresses various specialized topics including:

  • Explainable Artificial Intelligence (XAI)
  • Machine Learning in Materials Science
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Computational Drug Discovery Methods
  • Cancer Treatment and Pharmacology
  • Machine Learning and Data Classification

Their frequent coauthors include:

  • Grégoire Montavon
  • Shinichi Nakajima
  • Frederick Klauschen
  • Lukas Ruff
  • Gabriel Dernbach

Publications by Klaus-Robert Müller are commonly found in the following venues:

  • arXiv (Cornell University)
  • Annals of Oncology
  • ESMO Open
  • Chemical Science
  • Nature Communications

Best Publications

  • Nonlinear component analysis as a kernel eigenvalue problem

    Bernhard Schölkopf;Alexander Smola;Klaus-Robert Müller

  • An introduction to kernel-based learning algorithms

    K.-R. Muller;S. Mika;G. Ratsch;K. Tsuda

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

    Sebastian Bach;Alexander Binder;Grégoire Montavon;Frederick Klauschen

  • Efficient BackProp

    Yann LeCun;Léon Bottou;Genevieve B. Orr;Klaus-Robert Müller

  • Efficient BackProp

    Unknown

  • Kernel Principal Component Analysis

    Bernhard Schölkopf;Alex J. Smola;Klaus-Robert Müller

  • Methods for interpreting and understanding deep neural networks

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

  • Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning

    Matthias Rupp;Matthias Rupp;Alexandre Tkatchenko;Alexandre Tkatchenko;Klaus Robert Müller;Klaus Robert Müller;O. Anatole Von Lilienfeld;O. Anatole Von Lilienfeld

  • Optimizing Spatial filters for Robust EEG Single-Trial Analysis

    B. Blankertz;R. Tomioka;S. Lemm;M. Kawanabe

  • SchNet - A deep learning architecture for molecules and materials.

    Kristof T. Schütt;Huziel E. Sauceda;P. J. Kindermans;Alexandre Tkatchenko

  • Soft Margins for AdaBoost

    G. Rätsch;T. Onoda;K.-R. Müller

  • Input space versus feature space in kernel-based methods

    B. Scholkopf;S. Mika;C.J.C. Burges;P. Knirsch

  • Explaining nonlinear classification decisions with deep Taylor decomposition

    Grégoire Montavon;Sebastian Lapuschkin;Alexander Binder;Wojciech Samek

  • Predicting Time Series with Support Vector Machines

    Klaus-Robert Müller;Alex J. Smola;Gunnar Rätsch;Bernhard Schölkopf

  • A Unifying Review of Deep and Shallow Anomaly Detection

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

  • Kernel PCA and De-Noising in Feature Spaces

    Sebastian Mika;Bernhard Schölkopf;Alex J. Smola;Klaus-Robert Müller

  • Single-Trial Analysis and Classification of ERP Components - a Tutorial

    Benjamin Blankertz;Steven Lemm;Matthias Sebastian Treder;Stefan Haufe

  • 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

  • The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects.

    Benjamin Blankertz;Guido Dornhege;Matthias Krauledat;Klaus Robert Müller

  • The BCI competition III: validating alternative approaches to actual BCI problems

    B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk

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

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

Frequent Co-Authors

Benjamin Blankertz
Benjamin Blankertz Technical University of Berlin
Grégoire Montavon
Grégoire Montavon Freie Universität Berlin
Wojciech Samek
Wojciech Samek Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute
Thomas Wiegand
Thomas Wiegand Technical University of Berlin
Motoaki Kawanabe
Motoaki Kawanabe Advanced Telecommunications Research Institute International
Alexandre Tkatchenko
Alexandre Tkatchenko University of Luxembourg
Gabriel Curio
Gabriel Curio Charité - University Medicine Berlin
Gunnar Rätsch
Gunnar Rätsch ETH Zurich
José del R. Millán
José del R. Millán The University of Texas at Austin
Matthias Rupp
Matthias Rupp Luxembourg Institute of Science and Technology

External Links

Personal website of Klaus-Robert Müller Google Scholar page

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Publications: 101

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Publications: 93

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