World's Best Scientists 2026 revealed!
Tobias Kaufmann

Tobias Kaufmann

D-Index & Metrics

Neuroscience

D-Index
63
Citations
13533
World Ranking
3403
National Ranking
16

Tobias Kaufmann publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Tobias Kaufmann sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 238 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Tobias Kaufmann D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Tobias Kaufmann sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 63 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Tobias Kaufmann is affiliated with the University of Oslo in Norway and has focused their research on various aspects within medicine and biochemistry, genetics, and molecular biology. Their work encompasses significant contributions to genetics, cognitive neuroscience, radiology, nuclear medicine, imaging, molecular biology, and psychiatry and mental health.

Their main fields of study include:

  • Medicine
  • Biochemistry, Genetics and Molecular Biology

Within subfields, Kaufmann's research covers:

  • Genetics
  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Psychiatry and Mental health

Their research topics extend to:

  • Functional Brain Connectivity Studies
  • Genetic Associations and Epidemiology
  • Advanced Neuroimaging Techniques and Applications
  • Health, Environment, Cognitive Aging
  • Advanced MRI Techniques and Applications
  • Mental Health Research Topics
  • Bioinformatics and Genomic Networks

Kaufmann has published extensively in several venues, with the most frequent being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • Human Brain Mapping
  • Nature Communications
  • European Neuropsychopharmacology

Their recent papers include:

  • "The genetic architecture of the human cerebral cortex" (2020), published in Science
  • "Understanding the genetic determinants of the brain with MOSTest" (2020), published in Nature Communications
  • "Mind the gap: Performance metric evaluation in brain-age prediction" (2022), published in Human Brain Mapping
  • "Deep neural networks learn general and clinically relevant representations of the ageing brain" (2022), published in NeuroImage
  • "Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study" (2020), published in NeuroImage

Frequent collaborators in Kaufmann's work include:

  • Lars T. Westlye
  • Ole A. Andreassen
  • Oleksandr Frei
  • Dag Alnæs
  • Dennis van der Meer

Best Publications

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • Region-specific encoding of sensory and affective components of pain in the human brain: A positron emission tomography correlation analysis

    Thomas R. Tölle;Tanja Kaufmann;Thomas Siessmeier;Stefan Lautenbacher

  • Mapping the Heterogeneous Phenotype of Schizophrenia and Bipolar Disorder Using Normative Models.

    Thomas Wolfers;Nhat Trung Doan;Tobias Kaufmann;Dag Alnæs

  • Flashing characters with famous faces improves ERP-based brain-computer interface performance.

    T Kaufmann;S M Schulz;C Grünzinger;A Kübler

  • ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis

    Tobias Kaufmann;Stefan Sütterlin;Stefan M. Schulz;Claus Vögele

  • Oxytocin pathway gene networks in the human brain

    Daniel S. Quintana;Jaroslav Rokicki;Jaroslav Rokicki;Dennis van der Meer;Dag Alnæs

  • Brain Heterogeneity in Schizophrenia and Its Association With Polygenic Risk.

    Dag Alnæs;Tobias Kaufmann;Dennis van der Meer;Aldo Córdova-Palomera

  • The user-centered design as novel perspective for evaluating the usability of BCI-controlled applications.

    Andrea Kübler;Elisa M. Holz;Angela Riccio;Claudia Zickler

  • Delayed stabilization and individualization in connectome development are related to psychiatric disorders

    Tobias Kaufmann;Dag Alnæs;Nhat Trung Doan;Christine Lycke Brandt

  • Cerebellar volume and cerebellocerebral structural covariance in schizophrenia: a multisite mega-analysis of 983 patients and 1349 healthy controls

    T Moberget;N T Doan;D Alnæs;T Kaufmann

  • Cortical effects of user training in a motor imagery based brain-computer interface measured by fNIRS and EEG

    Vera Kaiser;Günther Bauernfeind;Alex Kreilinger;Tobias Kaufmann

  • Disintegration of Sensorimotor Brain Networks in Schizophrenia

    Tobias Kaufmann;Kristina C. Skåtun;Dag Alnæs;Nhat Trung Doan

  • Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials

    Tobias Kaufmann;Andreas Herweg;Andrea Kübler

  • Mind the gap: Performance metric evaluation in brain‐age prediction

    Unknown

  • Long-term independent brain-computer interface home use improves quality of life of a patient in the locked-in state: a case study.

    Elisa Mira Holz;Loic Botrel;Tobias Kaufmann;Tobias Kaufmann;Andrea Kübler

  • Deep neural networks learn general and clinically relevant representations of the ageing brain

    Unknown

  • Understanding the genetic determinants of the brain with MOSTest

    Dennis van der Meer;Dennis van der Meer;Oleksandr Frei;Oleksandr Frei;Tobias Kaufmann;Alexey A. Shadrin

  • Face stimuli effectively prevent brain-computer interface inefficiency in patients with neurodegenerative disease.

    Tobias Kaufmann;Stefan M. Schulz;Anja Köblitz;Gregor Renner

  • Population-based neuroimaging reveals traces of childbirth in the maternal brain

    Ann-Marie G de Lange;Ann-Marie G de Lange;Ann-Marie G de Lange;Tobias Kaufmann;Dennis van der Meer;Dennis van der Meer;Luigi A Maglanoc;Luigi A Maglanoc

  • Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

    Abraham Nunes;Hugo G. Schnack;Christopher R.K. Ching;Christopher R.K. Ching;Ingrid Agartz

  • Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state

    Tobias Kaufmann;Elisa Mira Holz;Andrea Kübler

  • The changing face of P300 BCIs: a comparison of stimulus changes in a P300 BCI involving faces, emotion, and movement.

    Jing Jin;Brendan Z. Allison;Brendan Z. Allison;Tobias Kaufmann;Andrea Kübler

  • Diurnal Variation and twenty-four hour sleep deprivation do not alter supine heart rate variability in healthy male young adults

    Daniel Quintana;Torbjørn Elvsåshagen;Torbjørn Elvsåshagen;Nathalia Zak;Nathalia Zak;Linn Christin Bonaventure Norbom

Frequent Co-Authors

Lars T. Westlye
Lars T. Westlye University of Oslo
Ole A. Andreassen
Ole A. Andreassen Oslo University Hospital
Dag Alnæs
Dag Alnæs Oslo University Hospital
Ingrid Agartz
Ingrid Agartz University of Oslo
Torgeir Moberget
Torgeir Moberget Oslo University Hospital
Nhat Trung Doan
Nhat Trung Doan Oslo University Hospital
Srdjan Djurovic
Srdjan Djurovic Oslo University Hospital
Erik G. Jönsson
Erik G. Jönsson University of Oslo
Ingrid Melle
Ingrid Melle University of Oslo
Anders M. Dale
Anders M. Dale J. Craig Venter Institute

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