World's Best Scientists 2026 revealed!
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Computer Science
Denmark
2026

D-Index & Metrics

Computer Science

D-Index
68
Citations
25762
World Ranking
2039
National Ranking
8

Lars Kai Hansen 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 Lars Kai Hansen 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: 444 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Lars Kai Hansen 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 Lars Kai Hansen 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: 68 D-Index — 86th percentile

86% 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

  • 2026 - Research.com Computer Science in Denmark Leader Award
  • 2025 - Research.com Computer Science in Denmark Leader Award
  • 2023 - Research.com Computer Science in Denmark Leader Award
  • 2022 - Research.com Computer Science in Denmark Leader Award

Overview

Lars Kai Hansen is affiliated with the Technical University of Denmark in Denmark. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, and Atomic and Molecular Physics and Optics.

The scientist's recent publications cover a range of interdisciplinary topics and venues. Notable papers include:

  • Using sequences of life-events to predict human lives, 2023, Nature Computational Science
  • A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric data, 2020, Translational Psychiatry
  • Mycoplasma pneumoniae incidence, phenotype, and severity in children and adolescents in Denmark before, during, and after the COVID-19 pandemic: a nationwide multicentre population-based cohort study, 2024, The Lancet Regional Health - Europe
  • Noise-assisted variational quantum thermalization, 2022, Scientific Reports
  • Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population-based, matched cohort study, 2023, PLoS ONE

The frequent publication venues for their work include arXiv (Cornell University), PLoS ONE, Zenodo (CERN European Organization for Nuclear Research), Nature Computational Science, and The Lancet Regional Health - Europe.

The scientist collaborates with a number of frequent co-authors, including:

  • Lenka Tětková
  • Jonathan Foldager
  • Teresa Karen Scheidt
  • Karen S. Ambrosen
  • Laura Rieger

The main topics covered in their research encompass a variety of areas such as Privacy-Preserving Technologies in Data, Domain Adaptation and Few-Shot Learning, Topic Modeling, Explainable Artificial Intelligence (XAI), Machine Learning in Healthcare, Functional Brain Connectivity Studies, and EEG and Brain-Computer Interfaces.

Best Publications

  • Neural network ensembles

    L.K. Hansen;P. Salamon

  • Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner’s Handbook

    Magnus Nrgaard;O. E. Ravn;N. K. Poulsen;L. K. Hansen

  • Neural Networks for Modelling and Control of Dynamic Systems

    M. Nørgaard;O. Ravn;N. K. Poulsen;L. K. Hansen

  • Explainable ai – preface

    Wojciech Samek;Grégoire Montavon;Andrea Vedaldi;Lars Kai Hansen

  • On Clustering fMRI Time Series

    Cyril Goutte;Peter Aundal Toft;Egill Rostrup;Finn Årup Nielsen

  • Independent component analysis of functional MRI: what is signal and what is noise?

    Martin J McKeown;Lars Kai Hansen;Terrence J Sejnowsk;Terrence J Sejnowsk

  • Good Friends, Bad News - Affect and Virality in Twitter

    Lars Kai Hansen;Adam Arvidsson;Finn Aarup Nielsen;Elanor Colleoni

  • Melanoma Diagnosis by Raman Spectroscopy and Neural Networks: Structure Alterations in Proteins and Lipids in Intact Cancer Tissue

    Monika Gniadecka;Peter Alshede Philipsen;Sigurdur Sigurdsson;Sonja Wessel

  • Detection of skin cancer by classification of Raman spectra

    S. Sigurdsson;P.A. Philipsen;L.K. Hansen;J. Larsen

  • The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework

    Stephen C. Strother;Jon R. Anderson;Jon R. Anderson;Lars Kai Hansen;Ulrik Kjems

  • Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG.

    Morten Mørup;Lars Kai Hansen;Christoph S. Herrmann;Josef Parnas

  • Bayesian Non-negative Matrix Factorization

    Mikkel N. Schmidt;Ole Winther;Lars Kai Hansen

  • Archetypal analysis for machine learning and data mining

    Morten MøRup;Lars Kai Hansen

  • Frontal alpha oscillations distinguish leaders from followers: multivariate decoding of mutually interacting brains.

    Ivana Konvalinka;Ivana Konvalinka;Markus Bauer;Carsten Stahlhut;Lars Kai Hansen

  • ICA of functional MRI data: an overview.

    Vince D. Calhoun;Tülay Adali;Lars Kai Hansen;Jan Larsen

  • Mining the posterior cingulate: segregation between memory and pain components.

    Finn Årup Nielsen;Daniela Balslev;Lars Kai Hansen

  • Generalizable patterns in neuroimaging: how many principal components?

    Lars Kai Hansen;Jan Larsen;Finn Årup Nielsen;Stephen C. Strother

  • Theorems on Positive Data: on the Uniqueness of NMF

    Hans Laurberg;Mads Græsbøll Christensen;Mark D. Plumbley;Lars Kai Hansen

  • Microstate EEGlab toolbox: An introductory guide

    Poulsen At;Pedroni A;Langer N;Hansen Lk

  • Mean-field approaches to independent component analysis

    Pedro A. D. F. R. Højen-Sørensen;Ole Winther;Lars Kai Hansen

  • Defining a local arterial input function for perfusion MRI using independent component analysis

    Fernando Calamante;Morten Mørup;Lars Kai Hansen

Frequent Co-Authors

Jan Larsen
Jan Larsen Technical University of Denmark
Stephen C. Strother
Stephen C. Strother University of Toronto
Ole Winther
Ole Winther Technical University of Denmark
Claus Svarer
Claus Svarer Copenhagen University Hospital
Olaf B. Paulson
Olaf B. Paulson University of Copenhagen
Nicholas Lange
Nicholas Lange Harvard University
Cyril Goutte
Cyril Goutte National Research Council Canada
John J. Sidtis
John J. Sidtis New York University
Ian Law
Ian Law Copenhagen University Hospital
Niels Kjølstad Poulsen
Niels Kjølstad Poulsen Technical University of Denmark

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