World's Best Scientists 2026 revealed!
Gisbert Schneider

Gisbert Schneider

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Engineering and Technology
Switzerland
2026

D-Index & Metrics

Chemistry

D-Index
86
Citations
31987
World Ranking
2495
National Ranking
59

Engineering and Technology

D-Index
84
Citations
30712
World Ranking
410
National Ranking
6

Gisbert Schneider publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Gisbert Schneider sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 376 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Gisbert Schneider D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Gisbert Schneider sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 84 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Switzerland Leader Award
  • 2025 - Research.com Engineering and Technology in Switzerland Leader Award

Overview

Gisbert Schneider is affiliated with ETH Zurich in Switzerland and specializes in research at the intersection of computer science and molecular biology. Their work spans core fields including Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Organic Chemistry, and Pharmacology.

Their primary research topics focus heavily on computational drug discovery methods, encompassing machine learning applications in materials science, protein structure and dynamics, chemical synthesis and analysis, microbial natural products and biosynthesis, synthesis and biological activity, and genetics, bioinformatics, and biomedical research.

Schneider's recent published papers include:

  • Artificial intelligence in drug discovery: recent advances and future perspectives (2021), published in Expert Opinion on Drug Discovery
  • Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR (2023), published in Nature Reviews Drug Discovery
  • Bidirectional Molecule Generation with Recurrent Neural Networks (2020), published in Journal of Chemical Information and Modeling
  • Generative molecular design in low data regimes (2020), published in Nature Machine Intelligence
  • A critical overview of computational approaches employed for COVID-19 drug discovery (2021), published in Chemical Society Reviews

Frequent collaborators have included Kenneth Atz, Francesca Grisoni, Clemens Isert, Petra Schneider, and Cyrill Brunner. These co-authorships highlight active cooperation within teams specializing in computational drug design and related areas.

Common venues for Schneider's publications reflect this interdisciplinary focus, with multiple contributions in:

  • Nature Machine Intelligence
  • Molecular Informatics
  • Chemical Biology & Drug Design
  • Journal of Chemical Information and Modeling
  • Nature Communications

Schneider's expertise lies predominantly in computer science and biochemistry-related disciplines, with a substantial number of publications contributing to both the theoretical and applied aspects of drug discovery and molecular informatics.

Best Publications

  • Counting on natural products for drug design

    Tiago Rodrigues;Daniel Reker;Petra Schneider;Gisbert Schneider

  • Computer-based de novo design of drug-like molecules

    Gisbert Schneider;Uli Fechner

  • Concepts of Artificial Intelligence for Computer-Assisted Drug Discovery

    Xin Yang;Yifei Wang;Ryan Byrne;Gisbert Schneider

  • “Scaffold-Hopping” by Topological Pharmacophore Search: A Contribution to Virtual Screening

    Gisbert Schneider;Werner Neidhart;Thomas Giller;Gerard Schmid

  • Automating drug discovery

    Gisbert Schneider

  • Rethinking drug design in the artificial intelligence era

    Petra Schneider;W. Patrick Walters;Alleyn T. Plowright;Norman Sieroka

  • Drug discovery with explainable artificial intelligence

    José Jiménez-Luna;Francesca Grisoni;Gisbert Schneider

  • Comparison of Support Vector Machine and Artificial Neural Network Systems for Drug/Nondrug Classification

    Evgeny Byvatov;Uli Fechner;Jens Sadowski;Gisbert Schneider

  • Deep Learning in Drug Discovery.

    Erik Gawehn;Jan A. Hiss;Gisbert Schneider

  • Virtual screening: an endless staircase?

    Gisbert Schneider

  • Virtual screening and fast automated docking methods.

    Gisbert Schneider;Hans-Joachim Böhm

  • Predicting drug metabolism: experiment and/or computation?

    Johannes Kirchmair;Andreas H Göller;Dieter Lang;Jens Kunze

  • Generative Recurrent Networks for De Novo Drug Design.

    Anvita Gupta;Anvita Gupta;Alex T. Müller;Berend J. H. Huisman;Jens A. Fuchs

  • PocketPicker: analysis of ligand binding-sites with shape descriptors

    Martin Weisel;Ewgenij Proschak;Gisbert Schneider

  • Support vector machine applications in bioinformatics.

    Evgeny Byvatov;Gisbert Schneider

  • Artificial intelligence in drug discovery: recent advances and future perspectives.

    José Jiménez-Luna;Francesca Grisoni;Nils Weskamp;Gisbert Schneider

  • Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training

    Michael Meissner;Michael Schmuker;Gisbert Schneider

  • Scaffold architecture and pharmacophoric properties of natural products and trade drugs: application in the design of natural product-based combinatorial libraries.

    Man-Ling Lee;Gisbert Schneider

  • De Novo Design of Bioactive Small Molecules by Artificial Intelligence

    Daniel Merk;Lukas Friedrich;Francesca Grisoni;Francesca Grisoni;Gisbert Schneider

  • De novo design of molecular architectures by evolutionary assembly of drug-derived building blocks.

    Gisbert Schneider;Man-Ling Lee;Martin Stahl;Petra Schneider

  • Development of a virtual screening method for identification of "frequent hitters" in compound libraries.

    Olivier Roche;Petra Schneider;Jochen Zuegge;Wolfgang Guba

  • Artificial neural networks for computer-based molecular design.

    Gisbert Schneider;Paul Wrede

Frequent Co-Authors

Matthias Rupp
Matthias Rupp Luxembourg Institute of Science and Technology
Steffen Backert
Steffen Backert University of Erlangen-Nuremberg
Gerd Geisslinger
Gerd Geisslinger Goethe University Frankfurt
Tanja Weil
Tanja Weil Max Planck Society
Herbert Waldmann
Herbert Waldmann Max Planck Society
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Ulrike Koehl
Ulrike Koehl Leipzig University
Peter Walden
Peter Walden Charité - University Medicine Berlin

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