World's Best Scientists 2026 revealed!
Matthias Rarey

Matthias Rarey

D-Index & Metrics

Computer Science

D-Index
56
Citations
19347
World Ranking
3970
National Ranking
176

Matthias Rarey 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 Matthias Rarey 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: 192 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Matthias Rarey 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 Matthias Rarey 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Matthias Rarey is affiliated with the Universität Hamburg in Germany, where their research focuses primarily on the intersection of biochemistry, genetics, molecular biology, and computer science. Their work integrates computational methods with molecular biology to advance the understanding of protein structures, enzyme functionality, and drug discovery techniques.

With a substantial publication record across several fields, the scientist has contributed notably to:

  • Computational Drug Discovery Methods
  • Protein Structure and Dynamics
  • Enzyme Structure and Function
  • Chemical Synthesis and Analysis
  • Machine Learning in Materials Science
  • Analytical Chemistry and Chromatography
  • Microbial Natural Products and Biosynthesis

Their extensive work spans several subfields including molecular biology, computational theory and mathematics, materials chemistry, spectroscopy, and pharmacology. This multidisciplinary approach supports advancements in molecular modeling and drug design.

Frequent publication venues for their work include:

  • Journal of Chemical Information and Modeling
  • Journal of Computer-Aided Molecular Design
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nucleic Acids Research
  • Wiley Interdisciplinary Reviews Computational Molecular Science

Among their recent published papers are:

  • "X-ray screening identifies active site and allosteric inhibitors of SARS-CoV-2 main protease," 2021, Science
  • "ProteinsPlus: interactive analysis of protein-ligand binding interfaces," 2020, Nucleic Acids Research
  • "ProteinsPlus: a comprehensive collection of web-based molecular modeling tools," 2022, Nucleic Acids Research
  • "Exploration of Ultralarge Compound Collections for Drug Discovery," 2022, Journal of Chemical Information and Modeling
  • "Binding Site Detection Remastered: Enabling Fast, Robust, and Reliable Binding Site Detection and Descriptor Calculation with DoGSite3," 2023, Journal of Chemical Information and Modeling

The scientist regularly collaborates with several co-authors, including:

  • Christiane Ehrt
  • Florian Flachsenberg
  • Joel Graef
  • Patrick Penner
  • Torben Gutermuth

Matthias Rarey's research integrates computational tools and experimental methods to investigate protein-ligand interactions and contribute to the development of computational drug discovery protocols. Their work is positioned at the convergence of computational theory and molecular biology, providing insights that are disseminated through reputed scientific journals dedicated to chemical information, molecular design, and nucleic acid research.

Best Publications

  • A Fast Flexible Docking Method using an Incremental Construction Algorithm

    Matthias Rarey;Bernd Kramer;Thomas Lengauer;Gerhard Klebe

  • Evaluation of the FLEXX incremental construction algorithm for protein-ligand docking.

    Bernd Kramer;Matthias Rarey;Thomas Lengauer

  • Computational methods for biomolecular docking

    Thomas Lengauer;Matthias Rarey

  • Detailed Analysis of Scoring Functions for Virtual Screening

    Martin Stahl;Matthias Rarey

  • FlexE: efficient molecular docking considering protein structure variations.

    H Claussen;C Buning;M Rarey;T Lengauer

  • DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment.

    Andrea Volkamer;Daniel Kuhn;Friedrich Rippmann;Matthias Rarey

  • On the art of compiling and using 'drug-like' chemical fragment spaces.

    Jörg Degen;Christof Wegscheid-Gerlach;Andrea Zaliani;Matthias Rarey

  • Combining Global and Local Measures for Structure-Based Druggability Predictions

    Andrea Volkamer;Daniel Kuhn;Thomas Grombacher;Friedrich Rippmann

  • Molecular complexes at a glance

    Katrin Stierand;Patrick C. Maaß;Matthias Rarey

  • Feature trees: a new molecular similarity measure based on tree matching.

    Matthias Rarey;J. Scott Dixon

  • Drawing the PDB: Protein−Ligand Complexes in Two Dimensions

    Katrin Stierand;Matthias Rarey

  • In Need of Bias Control: Evaluating Chemical Data for Machine Learning in Structure-Based Virtual Screening

    Jochen Sieg;Florian Flachsenberg;Matthias Rarey

  • Analyzing the topology of active sites: on the prediction of pockets and subpockets.

    Andrea Volkamer;Axel Griewel;Thomas Grombacher;Matthias Rarey

  • A consistent description of HYdrogen bond and DEhydration energies in protein-ligand complexes: methods behind the HYDE scoring function.

    Nadine Schneider;Gudrun Lange;Sally A. Hindle;Robert Klein

  • Placement of medium-sized molecular fragments into active sites of proteins.

    Matthias Rarey;Stephan Wefing;Thomas Lengauer

  • Multiple automatic base selection: protein-ligand docking based on incremental construction without manual intervention.

    Matthias Rarey;Bernd Kramer;Thomas Lengauer

  • Novel technologies for virtual screening

    Thomas Lengauer;Christian Lemmen;Matthias Rarey;Marc Zimmermann

  • ProteinsPlus: a web portal for structure analysis of macromolecules.

    Rainer Fährrolfes;Stefan Bietz;Florian Flachsenberg;Agnes Meyder

  • Small Molecule Docking and Scoring

    Ingo Muegge;Matthias Rarey

  • ProteinsPlus: interactive analysis of protein-ligand binding interfaces.

    Katrin Schöning-Stierand;Konrad Diedrich;Rainer Fährrolfes;Florian Flachsenberg

  • Flexible docking under pharmacophore type constraints.

    Sally A. Hindle;Matthias Rarey;Christian Buning;Thomas Lengauer

Frequent Co-Authors

Henry N. Chapman
Henry N. Chapman Universität Hamburg
Rolf Hilgenfeld
Rolf Hilgenfeld University of Lübeck
Christian Betzel
Christian Betzel Universität Hamburg
Dušan Turk
Dušan Turk Jožef Stefan Institute
Thomas Lengauer
Thomas Lengauer Max Planck Institute for Informatics
Benjamin L. Schulz
Benjamin L. Schulz University of Queensland
Joachim Hauber
Joachim Hauber Heinrich-Pette-Institute
Russell J. Cox
Russell J. Cox University of Hannover
Stephan Günther
Stephan Günther Bernhard Nocht Institute for Tropical Medicine
An-Ping Zeng
An-Ping Zeng Hamburg University of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a Computer Science degree in the USA opens many doors — both on-campus and online. For those facing academic challenges, there are college that accepts low gpa options online, making this field accessible no matter your previous academic record.

Accelerated pathways are also available. If you’re eager to enter the workforce quickly, consider a 2-year computer science degree online. These programs let you gain critical tech skills faster, paving the way for tech support, software development, and IT roles.

Interested in sustainability or green technology? You might explore environmental engineering degrees online to combine technical expertise with environmental impact.

A background in computer science also complements numerous other fields. For example, understanding what can you get with an environmental science degree can help connect technical and ecological careers, supporting roles in data science, analytics, or environmental monitoring.

Online learning offers flexibility, making it easier than ever to chart a computer science career that fits your goals and lifestyle.

Best Scientists Citing Matthias Rarey

Trending Scientists

Recently Published Articles