World's Best Scientists 2026 revealed!
Michael R. Berthold

Michael R. Berthold

D-Index & Metrics

Computer Science

D-Index
33
Citations
11282
World Ranking
12371
National Ranking
606

Michael R. Berthold 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 Michael R. Berthold 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Michael R. Berthold 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 Michael R. Berthold 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2011 - IEEE Fellow For contributions to approximate learning algorithms for life science data mining
  • 2008 - ACM Senior Member

Overview

Michael R. Berthold is affiliated with the University of Konstanz in Germany. Their research spans multiple fields, with a strong focus on computer science and its intersections with biological sciences and business disciplines.

The primary fields of study for Michael R. Berthold include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology
  • Business, Management and Accounting

Within these broader fields, they have contributed to several subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Computer Networks and Communications
  • Management Information Systems
  • Biophysics

Their main research topics cover areas including:

  • Machine Learning and Data Classification
  • Advanced Database Systems and Queries
  • Big Data and Business Intelligence
  • Cell Image Analysis Techniques
  • Genetics, Bioinformatics, and Biomedical Research
  • Scientific Computing and Data Management
  • Epigenetics and DNA Methylation

Michael R. Berthold has published in a variety of academic venues, reflecting a diverse range of research focuses:

  • Frontiers in Computer Science
  • Angewandte Chemie International Edition
  • Data Mining and Knowledge Discovery
  • arXiv (Cornell University)
  • Frontiers in Bioinformatics

Their recent papers include:

  • "Integration of the ImageJ Ecosystem in KNIME Analytics Platform" (2020), Frontiers in Computer Science
  • "A DNA Polymerase Variant Senses the Epigenetic Marker 5-Methylcytosine by Increased Misincorporation" (2024), Angewandte Chemie International Edition
  • "Widening: using parallel resources to improve model quality" (2021), Data Mining and Knowledge Discovery
  • "SciJava Ops: An Improved Algorithms Framework for Fiji and Beyond" (2024), arXiv (Cornell University)
  • "SciJava Ops: an improved algorithms framework for Fiji and beyond" (2024), Frontiers in Bioinformatics

The scientist has collaborated frequently with several coauthors, indicating sustained partnerships over multiple projects. Notable frequent coauthors include:

  • Frank Klawonn
  • Rosaria Silipo
  • Christian Borgelt
  • Frank Höppner
  • Curtis Rueden

Michael R. Berthold has also contributed to academic literature through book publications with reputable publishers such as Springer. Their books include:

  • Advances in Intelligent Data Analysis XVIII (2020), Springer Science+Business Media
  • Guide to Intelligent Data Science (2020), Springer International Publishing

Recognition for their work includes distinctions such as being named an IEEE Fellow in 2011 for contributions to approximate learning algorithms for life science data mining and status as an ACM Senior Member since 2008.

Best Publications

  • KNIME - the Konstanz information miner: version 2.0 and beyond

    Michael R. Berthold;Nicolas Cebron;Fabian Dill;Thomas R. Gabriel

  • KNIME: The Konstanz Information Miner

    Michael R. Berthold;Nicolas Cebron;Fabian Dill;Thomas R. Gabriel

  • Biological imaging software tools

    Kevin W. Eliceiri;Michael R. Berthold;Ilya G. Goldberg;Luis Ibáñez

  • Position paper: The coming of age of artificial intelligence in medicine

    Vimla L. Patel;Edward H. Shortliffe;Mario Stefanelli;Peter Szolovits

  • Mining molecular fragments: finding relevant substructures of molecules

    C. Borgelt;M.R. Berthold

  • Intelligent Data Analysis: An Introduction

    Michael Berthold;David J. Hand

  • Advances in intelligent data analysis

    David J. Hand;Douglas H. Fisher;Michael R. Berthold

  • Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data

    Michael R. Berthold;Christian Borgelt;Frank Hppner;Frank Klawonn

  • Constructive training of probabilistic neural networks

    Michael R. Berthold;Jay Diamond

  • KNIME for reproducible cross-domain analysis of life science data

    Alexander Fillbrunn;Christian Dietz;Julianus Pfeuffer;René Rahn

  • KNIME-CDK: Workflow-driven cheminformatics.

    Stephan Beisken;Thorsten Meinl;Bernd Wiswedel;Luis F. de Figueiredo

  • Boosting the Performance of RBF Networks with Dynamic Decay Adjustment

    Michael R. Berthold;Jay Diamond

  • OpenML: A collaborative science platform

    Jan van Rijn;Bernd Bischl;Luis Torgo;Bo Gao

  • Mixed fuzzy rule formation

    Michael R. Berthold

  • Building precise classifiers with automatic rule extraction

    K.-P. Huber;M.R. Berthold

  • Computational life sciences II

    Michael R. Berthold;Robert C. Glen;Kay Diederichs;Oliver Kohlbacher

  • Towards creative information exploration based on koestler's concept of bisociation

    Werner Dubitzky;Tobias Kötter;Oliver Schmidt;Michael R. Berthold

  • A time delay radial basis function network for phoneme recognition

    M.R. Berthold

  • KNIME for Open-Source Bioimage Analysis: A Tutorial.

    Christian Dietz;Michael R. Berthold

  • Visualizing fuzzy points in parallel coordinates

    M.R. Berthold;L.O. Hall

  • Whither Systems Medicine

    Rolf Apweiler;Tim Beissbarth;Michael R. Berthold;Nils Blüthgen

  • Missing values and learning of fuzzy rules

    Michael R. Berthold;Klaus-Peter Huber

Frequent Co-Authors

Christian Borgelt
Christian Borgelt Otto-von-Guericke University Magdeburg
Paul R. Cohen
Paul R. Cohen University of Pittsburgh
Mark T. D. Cronin
Mark T. D. Cronin Liverpool John Moores University
David J. Hand
David J. Hand Imperial College London
Xiaohui Liu
Xiaohui Liu Brunel University London
Alexander Bürkle
Alexander Bürkle University of Konstanz
Rudolf Kruse
Rudolf Kruse Otto-von-Guericke University Magdeburg
Marcel Leist
Marcel Leist University of Konstanz
Kay Diederichs
Kay Diederichs University of Konstanz
Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen

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