World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8482
World Ranking
6861
National Ranking
133

Volker Roth 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 Volker Roth 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: 178 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Volker Roth 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 Volker Roth 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Volker Roth is affiliated with the University of Basel in Switzerland and has a research focus primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Cognitive Neuroscience, Clinical Psychology, Psychiatry and Mental Health, and Computational Theory and Mathematics.

The main research topics addressed by Roth include:

  • Machine Learning in Healthcare
  • Functional Brain Connectivity Studies
  • Computational Drug Discovery Methods
  • Machine Learning in Materials Science
  • Schizophrenia Research and Treatment
  • Mental Health Research Topics
  • Neural Dynamics and Brain Function

Roth has contributed to a range of publications across several venues, with notable frequent appearances in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuropsychopharmacology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Remote Sensing

Examples of recent papers include:

  • The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity, 2023, Neuropsychopharmacology
  • Regional Tree Regularization for Interpretability in Deep Neural Networks, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Identifying Soil Erosion Processes in Alpine Grasslands on Aerial Imagery with a U-Net Convolutional Neural Network, 2020, Remote Sensing
  • 3DMolNet: A Generative Network for Molecular Structures, 2020, arXiv (Cornell University)
  • Altered Perception of Environmental Volatility During Social Learning in Emerging Psychosis, 2024, Computational Psychiatry

The body of work reflects a broad engagement with both theoretical and applied aspects of machine learning and neuroscience, often emphasizing brain connectivity and mental health.

Roth frequently collaborates with colleagues such as Daniel J. Hauke, Andreea O. Diaconescu, Monika Nagy-Huber, Stefan Borgwardt, and Sonali Parbhoo. These collaborations suggest a multidisciplinary approach intersecting psychology, psychiatry, and computational methods.

Best Publications

  • Stability-based validation of clustering solutions

    Tilman Lange;Volker Roth;Mikio L. Braun;Joachim M. Buhmann

  • A PIN-entry method resilient against shoulder surfing

    Volker Roth;Kai Richter;Rene Freidinger

  • The generalized LASSO

    V. Roth

  • Nonlinear Discriminant Analysis Using Kernel Functions

    Volker Roth;Volker Steinhage

  • Listen and whisper: security mechanisms for BGP

    Lakshminarayanan Subramanian;Volker Roth;Ion Stoica;Scott Shenker

  • Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data

    Niko Beerenwinkel;Niko Beerenwinkel;Huldrych F. Günthard;Volker Roth;Karin J. Metzner

  • Optimal cluster preserving embedding of nonmetric proximity data

    V. Roth;J. Laub;M. Kawanabe;J.M. Buhmann

  • Beyond Sparsity: Tree Regularization of Deep Models for Interpretability

    Mike Wu;Michael C. Hughes;Sonali Parbhoo;Maurizio Zazzi

  • The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms

    Volker Roth;Bernd Fischer

  • NovoHMM: a hidden Markov model for de novo peptide sequencing

    Bernd Fischer;Volker Roth;Franz F Roos;Jonas Grossmann

  • Feature Selection in Clustering Problems

    Volker Roth;Tilman Lange

  • A Resampling Approach to Cluster Validation

    Volker Roth;Tilman Lange;Mikio L. Braun;Joachim M. Buhmann

  • Bezel swipe: conflict-free scrolling and multiple selection on mobile touch screen devices

    Volker Roth;Thea Turner

  • Information processing apparatus, and program

    Volker Roth;ルス ボルカー

  • Full-length haplotype reconstruction to infer the structure of heterogeneous virus populations

    Francesca Di Giallonardo;Armin Töpfer;Melanie Rey;Sandhya Prabhakaran

  • Probabilistic inference of viral quasispecies subject to recombination

    Armin Töpfer;Osvaldo Zagordi;Sandhya Prabhakaran;Volker Roth

  • Stability-Based Model Selection

    Tilman Lange;Mikio L. Braun;Volker Roth;Joachim M. Buhmann

  • Deep sequencing of a genetically heterogeneous sample: local haplotype reconstruction and read error correction.

    Osvaldo Zagordi;Lukas Geyrhofer;Volker Roth;Niko Beerenwinkel

  • Kernel Fisher Discriminants for Outlier Detection

    Volker Roth

  • Mutual protection of co-operating agents

    Volker Roth

  • Probabilistic inference of viral quasispecies subject to recombination

    Osvaldo Zagordi;Armin Töpfer;Sandhya Prabhakaran;Volker Roth

  • A hidden Markov model for de novo peptide sequencing

    Bernd Fischer;Volker Roth;Joachim M. Buhmann;Jonas Grossmann

Frequent Co-Authors

Ute Gschwandtner
Ute Gschwandtner University of Basel
Peter Fuhr
Peter Fuhr University Hospital of Basel
Markus H. Heim
Markus H. Heim University Hospital of Basel
Luigi Terracciano
Luigi Terracciano University Hospital of Basel
Finale Doshi-Velez
Finale Doshi-Velez Harvard University
Karin J. Metzner
Karin J. Metzner University of Zurich
Eleanor Rieffel
Eleanor Rieffel Ames Research Center
Huldrych F. Günthard
Huldrych F. Günthard University of Zurich

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