World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
33
Citations
4846
World Ranking
9445
National Ranking
279

Stefan Bode 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 Stefan Bode 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: 114 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Stefan Bode 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 Stefan Bode 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: 33 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Overview

Stefan Bode is affiliated with the University of Melbourne in Australia and specializes in neuroscience, with a focus on cognitive neuroscience as the main subfield of study. Their work spans several interconnected areas, including experimental and cognitive psychology, sociology and political science, social psychology, and general decision sciences.

Bode's research covers multiple topics within neuroscience and psychology, including:

  • Neural and behavioral psychology studies
  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Psychology of moral and emotional judgment
  • EEG and brain-computer interfaces
  • Decision-making and behavioral economics
  • Social and intergroup psychology

The scientist has published extensively, with frequent contributions to the following publication venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Scientific Reports
  • Cortex
  • Cognition

Recent papers authored or co-authored by Bode include:

  • "Predictions drive neural representations of visual events ahead of incoming sensory information," 2020, Proceedings of the National Academy of Sciences
  • "With a little help from my friends: The effect of social proximity on emotion regulation-related brain activity," 2021, NeuroImage
  • "Anxious and obsessive-compulsive traits are independently associated with valuation of noninstrumental information," 2020, Journal of Experimental Psychology General
  • "Position representations of moving objects align with real-time position in the early visual response," 2022, eLife
  • "Visual mismatch responses index surprise signalling but not expectation suppression," 2020, Cortex

In their collaborative work, Bode frequently partners with several co-authors, including:

  • Daniel Feuerriegel
  • Robert Hester
  • Hinze Hogendoorn
  • William Turner
  • Jutta Stähl

Best Publications

  • The effect of strategies, goals and stimulus material on the neural mechanisms of emotion regulation: A meta-analysis of fMRI studies

    Carmen Morawetz;Stefan Bode;Birgit Derntl;Hauke R Heekeren

  • Predicting free choices for abstract intentions

    Chun Siong Soon;Anna Hanxi He;Anna Hanxi He;Stefan Bode;Stefan Bode;Stefan Bode;John-Dylan Haynes

  • Neural Responses to Unattended Products Predict Later Consumer Choices

    Anita Tusche;Anita Tusche;Stefan Bode;Stefan Bode;Stefan Bode;John-Dylan Haynes;John-Dylan Haynes

  • Tracking the unconscious generation of free decisions using uItra-high field fMRI

    Stefan Bode;Anna Hanxi He;Anna Hanxi He;Chun Siong Soon;Robert Trampel

  • Decoding sequential stages of task preparation in the human brain.

    Stefan Bode;Stefan Bode;Stefan Bode;John-Dylan Haynes;John-Dylan Haynes;John-Dylan Haynes

  • Effective amygdala-prefrontal connectivity predicts individual differences in successful emotion regulation.

    Carmen Morawetz;Stefan Bode;Juergen Baudewig;Hauke R Heekeren

  • Changes in Effective Connectivity Between Dorsal and Ventral Prefrontal Regions Moderate Emotion Regulation

    Carmen Morawetz;Stefan Bode;Juergen Baudewig;Evgeniya Kirilina

  • Intrinsic Valuation of Information in Decision Making under Uncertainty.

    Daniel Bennett;Stefan Bode;Maja Brydevall;Hayley Warren

  • Predicting perceptual decision biases from early brain activity.

    Stefan Bode;David K. Sewell;Simon Lilburn;Jason D. Forte

  • Cardiac Signals Are Independently Associated with Temporal Discounting and Time Perception

    Bowen J. Fung;Damien L. Crone;Stefan Bode;Carsten Murawski

  • Predictions drive neural representations of visual events ahead of incoming sensory information.

    Tessel Blom;Daniel Feuerriegel;Philippa Johnson;Stefan Bode;Stefan Bode

  • The Neural Encoding of Information Prediction Errors During Non-Instrumental Information Seeking

    Maja Brydevall;Daniel Bennett;Carsten Murawski;Stefan Bode

  • Decoding Successive Computational Stages of Saliency Processing

    Carsten Bogler;Stefan Bode;John-Dylan Haynes

  • Neural representation of emotion regulation goals

    Carmen Morawetz;Stefan Bode;Juergen Baudewig;Arthur M Jacobs

  • Coping with confounds in multivoxel pattern analysis: what should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013.

    Alexandra Woolgar;Polina Golland;Stefan Bode

  • Demystifying "free will": the role of contextual information and evidence accumulation for predictive brain activity.

    Stefan Bode;Carsten Murawski;Chun Siong Soon;Chun Siong Soon;Philipp Bode

  • The Decision Decoding ToolBOX (DDTBOX) - A Multivariate Pattern Analysis Toolbox for Event-Related Potentials.

    Stefan Bode;Daniel Feuerriegel;Daniel Feuerriegel;Daniel Bennett;Daniel Bennett;Phillip M. Alday;Phillip M. Alday

  • Electronic measurement of adherence to pediatric antiretroviral therapy in South Africa.

    Alexandra Denise Müller;Stefan Bode;Landon Myer;Paul Roux

  • Single-Trial Event-Related Potential Correlates of Belief Updating

    Daniel Bennett;Carsten Murawski;Stefan Bode

  • The Socio-Moral Image Database (SMID): A novel stimulus set for the study of social, moral and affective processes.

    Damien L. Crone;Stefan Bode;Carsten Murawski;Simon M. Laham

Frequent Co-Authors

John-Dylan Haynes
John-Dylan Haynes Charité - University Medicine Berlin
Robert Hester
Robert Hester University of Melbourne
Hauke R. Heekeren
Hauke R. Heekeren Universität Hamburg
Peter H. Weiss
Peter H. Weiss Forschungszentrum Jülich
Gereon R. Fink
Gereon R. Fink University of Cologne
Annette Horstmann
Annette Horstmann University of Helsinki
Gary F. Egan
Gary F. Egan Monash University
Thorsten Kahnt
Thorsten Kahnt Northwestern University
Luke D. Smillie
Luke D. Smillie University of Melbourne
Landon Myer
Landon Myer University of Cape Town

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