World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4880
World Ranking
10896
National Ranking
81

Ola Spjuth 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 Ola Spjuth 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: 183 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Ola Spjuth 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 Ola Spjuth 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Ola Spjuth is affiliated with Uppsala University in Sweden, where their research spans several intersecting domains within biochemistry, genetics, molecular biology, and computer science.

Their publication record highlights contributions in the areas of molecular biology and biophysics, with a significant focus on computational approaches to drug discovery and biomedical image analysis. Key subfields associated with their work include molecular biology, biophysics, computational theory and mathematics, pharmacology, and media technology.

Spjuth's research topics cover a wide range of scientific inquiries, including:

  • Cell Image Analysis Techniques
  • Computational Drug Discovery Methods
  • Image Processing Techniques and Applications
  • Pharmacogenetics and Drug Metabolism
  • Single-cell and spatial transcriptomics
  • Analytical Chemistry and Chromatography
  • Scientific Computing and Data Management

Their recent papers demonstrate active involvement in advancing computational methods and applied biomedical research. Some notable publications are:

  • Towards reproducible computational drug discovery, 2020, Journal of Cheminformatics
  • Predicting With Confidence: Using Conformal Prediction in Drug Discovery, 2020, Journal of Pharmaceutical Sciences
  • Integrating cell morphology with gene expression and chemical structure to aid mitochondrial toxicity detection, 2022, Communications Biology
  • Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction, 2022, Nature Communications
  • Metabolomics: The Stethoscope for the Twenty-First Century, 2020, Medical Principles and Practice

Spjuth frequently publishes in a variety of scientific venues. Their most common publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Cheminformatics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Communications
  • Journal of Chemical Information and Modeling

In collaboration, Spjuth has coauthored works with several researchers, some with multiple joint publications. Frequent collaborators include:

  • Jordi Carreras-Puigvert
  • Srijit Seal
  • Andreas Bender
  • Jonathan Alvarsson
  • Urban Fagerholm

Best Publications

  • 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

  • Deep Learning in Image Cytometry: A Review

    Anindya Gupta;Philip J. Harrison;Håkan Wieslander;Nicolas Pielawski

  • Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes

    Alexander Kensert;Philip J. Harrison;Ola Spjuth

  • Towards reproducible computational drug discovery

    Nalini Schaduangrat;Samuel Lampa;Saw Simeon;Matthew Paul Gleeson

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

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

  • PhenoMeNal: processing and analysis of metabolomics data in the cloud

    Kristian Peters;James Bradbury;Sven Bergmann;Sven Bergmann;Marco Capuccini

  • The ChEMBL database as linked open data

    Egon L Willighagen;Andra Waagmeester;Ola Spjuth;Peter Ansell

  • Open Data, Open Source and Open Standards in chemistry: The Blue Obelisk five years on

    Noel M. O'Boyle;Rajarshi Guha;Egon L. Willighagen;Samuel E. Adams

  • Predicting With Confidence: Using Conformal Prediction in Drug Discovery.

    Jonathan Alvarsson;Staffan Arvidsson McShane;Ulf Norinder;Ola Spjuth

  • Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse

    Lars Carlsson;Ola Spjuth;Samuel E. Adams;Robert C. Glen

  • Proteochemometric modeling of HIV protease susceptibility

    Maris Lapins;Martin Eklund;Ola Spjuth;Peteris Prusis

  • Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data

    Samuel Lampa;Martin Dahlö;Martin Dahlö;Pall I Olason;Jonas Hagberg

  • Experiences with workflows for automating data-intensive bioinformatics.

    Ola Spjuth;Erik Bongcam-Rudloff;Guillermo Carrasco Hernández;Lukas Forer

  • WhichCyp: prediction of cytochromes P450 inhibition

    Michal Rostkowski;Ola Spjuth;Patrik Rydberg

  • Bioclipse 2: A scriptable integration platform for the life sciences

    Ola Spjuth;Jonathan Alvarsson;Arvid Berg;Martin Eklund

  • Metabolomics: The Stethoscope for the Twenty-First Century.

    Hutan Ashrafian;Viknesh Sounderajah;Robert Glen;Timothy Ebbels

  • XMPP for cloud computing in bioinformatics supporting discovery and invocation of asynchronous web services

    Johannes Wagener;Ola Spjuth;Egon L. Willighagen;Jarl E. S. Wikberg

  • Conformal Regression for Quantitative Structure-Activity Relationship Modeling-Quantifying Prediction Uncertainty.

    Fredrik Svensson;Natalia Aniceto;Ulf Norinder;Ulf Norinder;Isidro Cortes-Ciriano

  • The LCB Data Warehouse

    Adam Ameur;Vladimir Yankovski;Stefan Enroth;Ola Spjuth

  • The machine learning life cycle and the cloud: implications for drug discovery.

    Ola Spjuth;Jens Frid;Andreas Hellander

  • A confidence predictor for logD using conformal regression and a support-vector machine

    Maris Lapins;Staffan Arvidsson;Samuel Lampa;Arvid Berg

  • Container-based bioinformatics with Pachyderm.

    Jon Ander Novella;Payam Emami Khoonsari;Stephanie Herman;Stephanie Herman;Daniel Whitenack

  • Evaluating parameters for ligand-based modeling with random forest on sparse data sets.

    Alexander Kensert;Jonathan Alvarsson;Ulf Norinder;Ulf Norinder;Ola Spjuth

Frequent Co-Authors

Egon Willighagen
Egon Willighagen Maastricht University
Jarl E. S. Wikberg
Jarl E. S. Wikberg Uppsala University
Christoph Steinbeck
Christoph Steinbeck Friedrich Schiller University Jena
Marta Cascante
Marta Cascante University of Barcelona
Roland C. Grafström
Roland C. Grafström Karolinska Institute
Reza M. Salek
Reza M. Salek International Agency For Research On Cancer
Steffen Neumann
Steffen Neumann Leibniz Institute of Plant Biochemistry
Sven Bergmann
Sven Bergmann Swiss Institute of Bioinformatics
Susanna-Assunta Sansone
Susanna-Assunta Sansone University of Oxford
Anders Larsson
Anders Larsson Uppsala University

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