World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
16768
World Ranking
3573
National Ranking
159

Christoph Steinbeck 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 Christoph Steinbeck 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Christoph Steinbeck 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 Christoph Steinbeck sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Christoph Steinbeck is affiliated with Friedrich Schiller University Jena in Germany. Their research spans multiple fields within the life sciences and computational studies, with a noted focus on biochemistry, genetics, molecular biology, and computer science.

The primary fields of study include:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Within these broad areas, Steinbeck's work delves into several subfields such as:

  • Molecular Biology
  • Computational Theory and Mathematics
  • Materials Chemistry
  • Information Systems and Management
  • Information Systems

The scientist's research covers various main topics, including:

  • Computational Drug Discovery Methods
  • Metabolomics and Mass Spectrometry Studies
  • Machine Learning in Materials Science
  • Scientific Computing and Data Management
  • Research Data Management Practices
  • Biomedical Text Mining and Ontologies
  • Microbial Natural Products and Biosynthesis

Steinbeck has contributed extensively to scientific literature, with notable recent papers being:

  • COCONUT online: Collection of Open Natural Products database, 2021, Journal of Cheminformatics
  • Review on natural products databases: where to find data in 2020, 2020, Journal of Cheminformatics
  • The LOTUS initiative for open knowledge management in natural products research, 2022, eLife
  • DECIMER: towards deep learning for chemical image recognition, 2020, Journal of Cheminformatics
  • A review of optical chemical structure recognition tools, 2020, Journal of Cheminformatics

The venues where Steinbeck frequently publishes work include:

  • Journal of Cheminformatics
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Research Ideas and Outcomes
  • Research Square (Research Square)

Steinbeck has collaborated regularly with a group of coauthors, among whom are:

  • Achim Zielesny
  • Maria Sorokina
  • Kohulan Rajan
  • Henning Otto Brinkhaus
  • Oliver Koepler

Best Publications

  • ClassyFire: automated chemical classification with a comprehensive, computable taxonomy

    Yannick Djoumbou Feunang;Roman Eisner;Craig Knox;Leonid Chepelev

  • The Chemistry Development Kit (CDK): An open-source Java library for chemo- and bioinformatics

    Christoph Steinbeck;Yongquan Han;Stefan Kuhn;Oliver Horlacher

  • ChEBI in 2016: Improved services and an expanding collection of metabolites.

    Janna Hastings;Gareth Owen;Adriano Dekker;Marcus Ennis

  • MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data

    Kenneth Haug;Reza M. Salek;Pablo Conesa;Janna Hastings

  • The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013

    Janna Hastings;Paula de Matos;Adriano Dekker;Marcus Ennis

  • Recent developments of the chemistry development kit (CDK) - an open-source java library for chemo- and bioinformatics

    Christoph Steinbeck;Christian Hoppe;Stefan Kuhn;Matteo Floris

  • COCONUT online: Collection of Open Natural Products database

    Maria Sorokina;Peter Merseburger;Kohulan Rajan;Mehmet Aziz Yirik

  • The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching

    Egon L. Willighagen;John W. Mayfield;Jonathan Alvarsson;Arvid Berg

  • The Blue Obelisk—Interoperability in Chemical Informatics

    Rajarshi Guha;Michael T. Howard;Geoffrey R. Hutchison;Peter Murray-Rust

  • Toward interoperable bioscience data

    Susanna-Assunta Sansone;Philippe Rocca-Serra;Dawn Field;Eamonn Maguire

  • The role of reporting standards for metabolite annotation and identification in metabolomic studies.

    Reza M Salek;Reza M Salek;Christoph Steinbeck;Mark R Viant;Royston Goodacre

  • Review on natural products databases: where to find data in 2020

    Maria Sorokina;Christoph Steinbeck

  • The LOTUS initiative for open knowledge management in natural products research

    Unknown

  • Chemical Entities of Biological Interest: an update

    Paula de Matos;Rafael Alcántara;Adriano Dekker;Marcus Ennis

  • Navigating freely-available software tools for metabolomics analysis

    Rachel Spicer;Reza M. Salek;Pablo Moreno;Daniel Cañueto

  • MetaboLights: An Open-Access Database Repository for Metabolomics Data.

    Namrata S. Kale;Kenneth Haug;Pablo Conesa;Kalaivani Jayseelan

  • NMRShiftDB-constructing a free chemical information system with open-source components.

    Christoph Steinbeck;Stefan Krause;Stefan Kuhn

  • Discovering and linking public omics data sets using the Omics Discovery Index

    Yasset Perez-Riverol;Mingze Bai;Mingze Bai;Mingze Bai;Felipe Da Veiga Leprevost;Silvano Squizzato

  • COordination of Standards in MetabOlomicS (COSMOS): facilitating integrated metabolomics data access

    Reza M. Salek;Reza M. Salek;Steffen Neumann;Daniel Schober;Jan Hummel

  • KNIME-CDK: Workflow-driven cheminformatics.

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

  • Bioclipse: an open source workbench for chemo- and bioinformatics

    Ola Spjuth;Tobias Helmus;Egon L Willighagen;Stefan Kuhn

Frequent Co-Authors

Janna Hastings
Janna Hastings University College London
Reza M. Salek
Reza M. Salek International Agency For Research On Cancer
Egon Willighagen
Egon Willighagen Maastricht University
Steffen Neumann
Steffen Neumann Leibniz Institute of Plant Biochemistry
Philippe Rocca-Serra
Philippe Rocca-Serra University of Oxford
Susanna-Assunta Sansone
Susanna-Assunta Sansone University of Oxford
Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Marta Cascante
Marta Cascante University of Barcelona
Ola Spjuth
Ola Spjuth Uppsala University
Julian L. Griffin
Julian L. Griffin University of Aberdeen

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