World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
104
Citations
54801
World Ranking
657
National Ranking
365

Peter A. Bandettini 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 Peter A. Bandettini 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: 306 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Peter A. Bandettini 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 Peter A. Bandettini 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: 104 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Peter A. Bandettini is affiliated with the National Institutes of Health in the United States. Their research activity spans multiple aspects of neuroscience and medical imaging, with a primary focus on functional brain connectivity and advanced MRI techniques.

The scientist has contributed extensively to the fields of Neuroscience and Medicine, with 120 and 79 publications respectively. Their work prominently covers subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Electrical and Electronic Engineering, and Atomic and Molecular Physics and Optics.

Key topics addressed in their research include:

  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Visual perception and processing mechanisms
  • Neural and Behavioral Psychology Studies
  • EEG and Brain-Computer Interfaces

Frequent publication venues for their work include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • NeuroImage
  • Aperture Neuro
  • Progress in Neurobiology

Peter A. Bandettini has collaborated frequently with several notable researchers, including:

  • Laurentius Huber
  • Daniel A. Handwerker
  • Javier González-Castillo
  • Yuhui Chai
  • Andrew Morgan

Among their recent papers are:

  • "Movie-watching outperforms rest for functional connectivity-based prediction of behavior" (2021), published in NeuroImage
  • "Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging" (2020), published in NeuroImage
  • "LayNii: A software suite for layer-fMRI" (2021), published in NeuroImage
  • "TE-dependent analysis of multi-echo fMRI with tedana" (2021), published in The Journal of Open Source Software
  • "Layer-dependent functional connectivity methods" (2020), published in Progress in Neurobiology

In addition to journals and proceedings, Bandettini has contributed to book publications, including a title with The MIT Press:

  • "fMRI" (2020), which has accrued a number of citations

Best Publications

  • Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience

    Nikolaus Kriegeskorte;Marieke Mur;Peter A Bandettini

  • Dynamic functional connectivity: Promise, issues, and interpretations

    R. Matthew Hutchison;Thilo Womelsdorf;Elena A. Allen;Elena A. Allen;Peter A. Bandettini

  • The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?

    Kevin Murphy;Rasmus M. Birn;Daniel A. Handwerker;Tyler B. Jones

  • Time course EPI of human brain function during task activation.

    P A Bandettini;E C Wong;R S Hinks;R S Tikofsky

  • Information-based functional brain mapping

    Nikolaus Kriegeskorte;Rainer Goebel;Peter Bandettini

  • Processing strategies for time-course data sets in functional mri of the human brain

    Peter A. Bandettini;A. Jesmanowicz;Eric C. Wong;James S. Hyde

  • Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI.

    Rasmus M. Birn;Jason B. Diamond;Monica A. Smith;Peter A. Bandettini

  • Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey

    Nikolaus Kriegeskorte;Marieke Mur;Marieke Mur;Douglas A. Ruff;Roozbeh Kiani

  • Mapping striate and extrastriate visual areas in human cerebral cortex

    Edgar A. Deyoe;George J. Carman;Peter Bandettini;Seth Glickman

  • Functional magnetic resonance imaging of complex human movements

    Stephen M Rao;J. R. Binder;P. A. Bandettini;T. A. Hammeke

  • A general mechanism for perceptual decision-making in the human brain

    H. R. Heekeren;S. Marrett;P. A. Bandettini;L. G. Ungerleider

  • Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging.

    Randy L. Buckner;Peter A. Bandettini;Kathleen M. O’Craven;Robert L. Savoy

  • Resting-state fMRI confounds and cleanup

    Kevin Murphy;Rasmus M. Birn;Peter A. Bandettini

  • The respiration response function: The temporal dynamics of fMRI signal fluctuations related to changes in respiration

    Rasmus M. Birn;Monica A. Smith;Tyler B. Jones;Peter A. Bandettini

  • The intravascular contribution to fMRI signal change: Monte Carlo modeling and diffusion-weighted studies in vivo.

    Jerrold L. Boxerman;Peter A. Bandettini;Kenneth K. Kwong;John R. Baker

  • Differentiating BOLD and Non-BOLD Signals in fMRI Time Series Using Multi-Echo EPI

    Prantik Kundu;Souheil J. Inati;Jennifer W. Evans;Wen-Ming Luh

  • Nicotine-Induced Limbic Cortical Activation in the Human Brain: A Functional MRI Study

    Elliot A. Stein;John Pankiewicz;Harold H. Harsch;Jung Ki Cho

  • QUIPSS II with thin-slice TI1 periodic saturation: a method for improving accuracy of quantitative perfusion imaging using pulsed arterial spin labeling.

    Wen-Ming Luh;Eric C. Wong;Peter A. Bandettini;James S. Hyde

  • Functional magnetic resonance imaging (FMRI) of the human brain

    Edgar A. DeYoe;Peter Bandettini;Jay Neitz;David Miller

  • Functional magnetic resonance imaging of human auditory cortex

    J. R. Binder;S. M. Rao;T. A. Hammeke;F. Z. Yetkin

Frequent Co-Authors

Rasmus M. Birn
Rasmus M. Birn University of Wisconsin–Madison
James S. Hyde
James S. Hyde Medical College of Wisconsin
Nikolaus Kriegeskorte
Nikolaus Kriegeskorte Columbia University
Sean Marrett
Sean Marrett National Institutes of Health
Robert W. Cox
Robert W. Cox National Institutes of Health
Ziad S. Saad
Ziad S. Saad National Institutes of Health
Gang Chen
Gang Chen National Institutes of Health
Prantik Kundu
Prantik Kundu Icahn School of Medicine at Mount Sinai
Leslie G. Ungerleider
Leslie G. Ungerleider National Institutes of Health

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