World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
10243
World Ranking
5864
National Ranking
272

Falk Schreiber 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 Falk Schreiber 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: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Falk Schreiber 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 Falk Schreiber 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: 49 D-Index — 60th percentile

60% 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

  • 2012 - ACM Senior Member

Overview

Falk Schreiber is affiliated with the University of Konstanz in Germany. Their research spans several interconnected fields, primarily focusing on molecular biology, computer vision and pattern recognition, molecular medicine, biophysics, and computational theory and mathematics.

The scientist has contributed extensively to specific areas of study, including data visualization and analytics, bioinformatics and genomic networks, antibiotic resistance in bacteria, microbial metabolic engineering and bioproduction, gene regulatory network analysis, cell image analysis techniques, and computational drug discovery methods.

Falk Schreiber's recent publications cover a range of topics within these domains. Selected papers include:

  • COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms (2020), published in Scientific Data
  • COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms (2021), published in Molecular Systems Biology
  • Immersive Analytics with Abstract 3D Visualizations: A Survey (2021), published in Computer Graphics Forum
  • The Value of Immersive Visualization (2021), published in IEEE Computer Graphics and Applications
  • Polymyxins Bind to the Cell Surface of Unculturable Acinetobacter baumannii and Cause Unique Dependent Resistance (2020), published in Advanced Science

Their collaborative network includes frequent co-authors such as Karsten Klein, Sabrina Jaeger-Honz, Björn Sommer, Jian Li, and Martin Golebiewski. These collaborations reflect ongoing partnerships contributing to various aspects of Schreiber's research areas.

Falk Schreiber has published frequently in venues such as tanz, Theater heute, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Zenodo (CERN European Organization for Nuclear Research), and bioRxiv (Cold Spring Harbor Laboratory).

In recognition of professional achievements, Schreiber was awarded the ACM Senior Member distinction in 2012.

Best Publications

  • The Systems Biology Graphical Notation

    Nicolas Le Novere;Michael Hucka;Huaiyu Mi;Stuart Moodie

  • VANTED: A system for advanced data analysis and visualization in the context of biological networks

    Björn H Junker;Christian Klukas;Falk Schreiber

  • Analysis of Biological Networks

    Björn H. Junker;Falk Schreiber

  • Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks

    Dirk Koschützki;Falk Schreiber;Falk Schreiber

  • HTPheno: An image analysis pipeline for high-throughput plant phenotyping

    Anja Hartmann;Tobias Czauderna;Roberto Hoffmann;Nils Stein

  • Exploration of biological network centralities with CentiBiN

    Björn H Junker;Dirk Koschützki;Falk Schreiber

  • Kavosh: a new algorithm for finding network motifs

    Zahra Razaghi Moghadam Kashani;Hayedeh Ahrabian;Elahe Elahi;Abbas Nowzari-Dalini

  • SBML Level 3: an extensible format for the exchange and reuse of biological models

    Sarah M. Keating;Sarah M. Keating;Dagmar Waltemath;Matthias König;Fengkai Zhang

  • MAVisto: a tool for the exploration of network motifs

    Falk Schreiber;Henning Schwöbbermeyer

  • VANTED v2: a framework for systems biology applications

    Hendrik Rohn;Astrid Junker;Anja Hartmann;Eva Grafahrend-Belau

  • Flux balance analysis of barley seeds: a computational approach to study systemic properties of central metabolism

    Eva Grafahrend-Belau;Falk Schreiber;Dirk Koschützki;Björn H. Junker

  • Large-scale generation of computational models from biochemical pathway maps

    Finja Büchel;Nicolas Rodriguez;Neil Swainston;Clemens Wrzodek

  • Path2Models: large-scale generation of computational models from biochemical pathway maps

    Finja Buchel;Finja Buchel;Nicolas Rodriguez;Nicolas Rodriguez;Neil Swainston;Clemens Wrzodek

  • Apomictic and sexual ovules of Boechera display heterochronic global gene expression patterns

    Timothy F. Sharbel;Marie-Luise Voigt;José M. Corral;Giulio Galla

  • MODA: An efficient algorithm for network motif discovery in biological networks

    Saeed Omidi;Falk Schreiber;Falk Schreiber;Ali Masoudi-Nejad

  • Immersive Analytics

    Tom Chandler;Maxime Cordeil;Tobias Czauderna;Tim Dwyer

  • COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms.

    Marek Ostaszewski;Alexander Mazein;Alexander Mazein;Marc E. Gillespie;Marc E. Gillespie;Inna Kuperstein

  • Modeling in Systems Biology: The Petri Net Approach

    Ina Koch;Wolfgang Reisig;Falk Schreiber

  • Frequency concepts and pattern detection for the analysis of motifs in networks

    Falk Schreiber;Henning Schwöbbermeyer

  • Dynamic exploration and editing of KEGG pathway diagrams

    Christian Klukas;Falk Schreiber

  • Immersive Analytics

    Bongshin Lee;Benjamin Bach;Tim Dwyer;Kim Marriott

Frequent Co-Authors

Nicolas Le Novère
Nicolas Le Novère Babraham Institute
Michael Hucka
Michael Hucka California Institute of Technology
Uwe Scholz
Uwe Scholz Leibniz Association
Chris J. Myers
Chris J. Myers University of Colorado Boulder
Hiroaki Kitano
Hiroaki Kitano Okinawa Institute of Science and Technology
Tony Velkov
Tony Velkov University of Melbourne
Hardy Rolletschek
Hardy Rolletschek Leibniz Association
Henning Hermjakob
Henning Hermjakob European Bioinformatics Institute
Gary D. Bader
Gary D. Bader University of Toronto
Ljudmilla Borisjuk
Ljudmilla Borisjuk Leibniz Association

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