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Gunnar Rätsch

Gunnar Rätsch

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Computer Science
Switzerland
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 77 1228 1187 31 31 254 54543

Gunnar Rätsch publications per year

The chart shows the history of publications by Gunnar Rätsch between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Gunnar Rätsch published across 30 years, from 1996 to 2025, averaging 14.1 papers a year. Output peaked at 54 publications in 2023. 36 of the 424 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 54. Peak 54 publications in 2023. 1996: 1 publication 1997: 1 publication 1998: 4 publications 1999: 8 publications 2000: 8 publications 2001: 9 publications 2002: 8 publications 2003: 5 publications 2004: 6 publications 2005: 12 publications 2006: 15 publications 2007: 15 publications 2008: 12 publications 2009: 10 publications 2010: 13 publications 2011: 20 publications 2012: 6 publications 2013: 11 publications 2014: 14 publications 2015: 15 publications 2016: 11 publications 2017: 17 publications 2018: 16 publications 2019: 22 publications 2020: 31 publications 2021: 21 publications 2022: 23 publications 2023: 54 publications 2024: 20 publications 2025: 16 publications
1996 2025

424 publications in total across all disciplines

View publications per year as a table
Gunnar Rätsch: publications per year, 1996 to 2025
Year Publications
1996 1
1997 1
1998 4
1999 8
2000 8
2001 9
2002 8
2003 5
2004 6
2005 12
2006 15
2007 15
2008 12
2009 10
2010 13
2011 20
2012 6
2013 11
2014 14
2015 15
2016 11
2017 17
2018 16
2019 22
2020 31
2021 21
2022 23
2023 54
2024 20
2025 16
Total 424
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Gunnar Rätsch publications per year - data summary

  • Gunnar Rätsch, a Computer Science scholar from ETH Zurich, has 424 publications recorded across 30 years, from 1996 to 2025.
  • The oldest publication on record dates to 1996 and the most recent to 2025.
  • The most productive year is 2023, with 54 publications.
  • The least productive years with any output are 1996 and 1997, with 1 publication each.
  • The rate of publication averages 14.1 papers per year over the whole span, or 14.1 per year counting only the 30 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 134 publications, 32% of the career total.
  • Split into equal eras - 1996-2005: 62 publications (6.2 per year); 2006-2015: 131 publications (13.1 per year); 2016-2025: 231 publications (23.1 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Gunnar Rätsch 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 Gunnar Rätsch 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, 252–261 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: 254 publications — 64th percentile

64% 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
252–261 377 254
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
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

Gunnar Rätsch 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.
  • Gunnar Rätsch, a Computer Science scholar from ETH Zurich, records 254 publications - the 64th percentile of the discipline.
  • 64% of ranked Computer Science scientists score the same or lower than Gunnar Rätsch, and about 36% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Gunnar Rätsch 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).

Gunnar Rätsch 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 Gunnar Rätsch 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, 76–77 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: 77 D-Index — 91st percentile

91% 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 77
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
Download as CSV

Gunnar Rätsch 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.
  • Gunnar Rätsch, a Computer Science scholar from ETH Zurich, records 77 D-Index - the 91st percentile of the discipline.
  • 91% of ranked Computer Science scientists score the same or lower than Gunnar Rätsch, and about 9% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Gunnar Rätsch 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

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Gunnar Rätsch is affiliated with ETH Zurich in Switzerland, contributing extensively to the fields of Biochemistry, Genetics and Molecular Biology as well as Computer Science. Their research spans several key subfields including Molecular Biology, Artificial Intelligence, Cancer Research, Computer Vision and Pattern Recognition, and Epidemiology.

The main topics covered in Gunnar Rätsch's work include:

  • Genomics and Phylogenetic Studies
  • Machine Learning in Healthcare
  • Cancer Genomics and Diagnostics
  • Single-cell and Spatial Transcriptomics
  • Algorithms and Data Compression
  • RNA Modifications and Cancer
  • Sepsis Diagnosis and Treatment

Gunnar Rätsch has contributed to a number of recent publications, demonstrating a focus on healthcare applications and molecular biology, including:

  • "Early prediction of circulatory failure in the intensive care unit using machine learning" (2020) published in Nature Medicine
  • "A global metagenomic map of urban microbiomes and antimicrobial resistance" (2021) in Cell
  • "Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment" (2020) in Nature Medicine
  • "The Tumor Profiler Study: integrated, multi-omic, functional tumor profiling for clinical decision support" (2021) in Cancer Cell
  • "Learning single-cell perturbation responses using neural optimal transport" (2023) in Nature Methods

The scientist frequently collaborates with a group of coauthors including:

  • André Kahles
  • Kjong-Van Lehmann
  • Harun Mustafa
  • Ximena Bonilla
  • Stefan G. Stark

Gunnar Rätsch's work appears predominantly in several publication venues, highlighting contributions in both preprint and peer-reviewed platforms:

  • arXiv (Cornell University) with 35 publications
  • bioRxiv (Cold Spring Harbor Laboratory) with 30 publications
  • Bioinformatics with 9 publications
  • Nature Medicine with 5 publications
  • Zenodo (CERN European Organization for Nuclear Research) with 4 publications

Best Publications

  • The cancer genome atlas pan-cancer analysis project

    John N Weinstein;John N Weinstein;Eric A. Collisson;Gordon B Mills;Kenna R Mills Shaw;Kenna R Mills Shaw

  • An introduction to kernel-based learning algorithms

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

  • Fisher discriminant analysis with kernels

    S. Mika;G. Ratsch;J. Weston;B. Scholkopf

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • The Molecular Taxonomy of Primary Prostate Cancer

    Adam Abeshouse;Jaeil Ahn;Rehan Akbani;Adrian Ally

  • Large Scale Multiple Kernel Learning

    Sören Sonnenburg;Gunnar Rätsch;Christin Schäfer;Bernhard Schölkopf

  • 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

  • Predicting Time Series with Support Vector Machines

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

  • Kernel PCA and De-Noising in Feature Spaces

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

  • Integrative analysis of the Caenorhabditis elegans genome by the modENCODE project

    Mark B. Gerstein;Zhi John Lu;Eric L. Van Nostrand;Chao Cheng

  • Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.

    André Kahles;Kjong-Van Lehmann;Nora C Toussaint;Matthias Hüser

  • Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

    Francesco Locatello;Stefan Bauer;Mario Lučić;Gunnar Rätsch

  • Support vector machines and kernels for computational biology.

    Asa Ben-Hur;Cheng Soon Ong;Sören Sonnenburg;Bernhard Schölkopf

  • Ecological modeling from time-series inference: insight into dynamics and stability of intestinal microbiota.

    Richard R. Stein;Vanni Bucci;Nora C. Toussaint;Charlie G. Buffie

  • An introduction to boosting and leveraging

    Ron Meir;Gunnar Rätsch

  • Engineering support vector machine kernels that recognize translation initiation sites

    Alexander Zien;Gunnar Rätsch;Sebastian Mika;Bernhard Schölkopf

  • Systematic evaluation of spliced alignment programs for RNA-seq data

    Pär G Engström;Tamara Steijger;Botond Sipos;Gregory R Grant

  • Active Learning with support Vector machines in the drug discovery process

    Manfred K. Warmuth;Jun Liao;Gunnar Rätsch;Michael Mathieson

  • Advanced Lectures on Machine Learning

    O Bousquet;U von Luxburg;G Rätsch

  • Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

    Cristóbal Esteban;Stephanie L. Hyland;Gunnar Rätsch

  • Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites.

    Alexander Zien;Gunnar Rätsch;Sebastian Mika;Bernhard Schölkopf

  • The Cancer Genome Atlas Pan-Cancer analysis project

    Kyle Chang;Chad J Creighton;Caleb Davis;Lawrence Donehower

Frequent Co-Authors

Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Oliver Stegle
Oliver Stegle German Cancer Research Center
Mark Gerstein
Mark Gerstein Yale University
Andrea Sboner
Andrea Sboner Cornell University
Eran Segal
Eran Segal Weizmann Institute of Science
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Detlef Weigel
Detlef Weigel Max Planck Institute for Developmental Biology
Michael Snyder
Michael Snyder Stanford University
Chao Cheng
Chao Cheng Baylor College of Medicine

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