World's Best Scientists 2026 revealed!
Gopikrishna Deshpande

Gopikrishna Deshpande

D-Index & Metrics

Neuroscience

D-Index
47
Citations
6693
World Ranking
6527
National Ranking
2828

Gopikrishna Deshpande 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 Gopikrishna Deshpande 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: 146 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Gopikrishna Deshpande 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 Gopikrishna Deshpande 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: 47 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Gopikrishna Deshpande is affiliated with Auburn University in the United States. Their research spans multiple areas in neuroscience and medicine, with a focus on cognitive neuroscience and advanced neuroimaging techniques.

The main fields of study for Deshpande include:

  • Neuroscience
  • Medicine

The subfields of study covered in their work are:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Social Psychology
  • Experimental and Cognitive Psychology
  • Genetics

Deshpande's research focuses on several topics, primarily related to brain function and connectivity. These include:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Advanced MRI Techniques and Applications
  • Human-Animal Interaction Studies
  • Neuroendocrine regulation and behavior
  • Advanced Neuroimaging Techniques and Applications

They have contributed papers to multiple publication venues, frequently appearing in:

  • Frontiers in Neuroscience
  • Preprints.org
  • Brain Sciences
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine

Some recent publications include:

  • Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework, 2020, Biomedical Signal Processing and Control
  • Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset, 2021, IEEE Transactions on Biomedical Engineering
  • Extra-Virgin Olive Oil Enhances the Blood-Brain Barrier Function in Mild Cognitive Impairment: A Randomized Controlled Trial, 2022, Nutrients
  • Human-dog relationships as a working framework for exploring human-robot attachment: a multidisciplinary review, 2021, Animal Cognition
  • FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response, 2020, Brain Imaging and Behavior

Frequent collaborators in Deshpande's research include:

  • D. Rangaprakash
  • Thomas S. Denney
  • Jeffrey S. Katz
  • Nguyen Huynh
  • Michael N. Dretsch

Best Publications

  • Multivariate Granger causality analysis of fMRI data.

    Gopikrishna Deshpande;Stephan LaConte;George Andrew James;Scott Peltier

  • Art for Reward's Sake: Visual Art Recruits the Ventral Striatum

    Simon A Lacey;Henrik Hagtvedt;Vanessa M. Patrick;Amy Anderson

  • Effect of hemodynamic variability on Granger causality analysis of fMRI

    Gopikrishna Deshpande;Krish Sathian;Xiaoping Hu

  • Identification of neural connectivity signatures of autism using machine learning.

    Gopikrishna Deshpande;Lauren Libero;Karthik Ramakrishnan Sreenivasan;Hrishikesh Deshpande

  • Instantaneous and causal connectivity in resting state brain networks derived from functional MRI data.

    Gopikrishna Deshpande;Priya Santhanam;Xiaoping Hu

  • Effective connectivity during haptic perception: A study using Granger causality analysis of functional magnetic resonance imaging data

    Gopikrishna Deshpande;Xiaoping P Hu;Randall Stilla;Krish Sathian

  • Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data

    Gopikrishna Deshpande;Peng Wang;D. Rangaprakash;Bogdan Wilamowski

  • Activation and Effective Connectivity Changes Following Explicit-Memory Training for Face–Name Pairs in Patients With Mild Cognitive Impairment: A Pilot Study

    Benjamin Hampstead;Anthony Stringer;Randall F. Stilla;Gopikrishna Deshpande

  • Multimodal neuroimaging based classification of autism spectrum disorder using anatomical, neurochemical, and white matter correlates.

    Lauren E. Libero;Thomas P. DeRamus;Adrienne C. Lahti;Gopikrishna Deshpande

  • DUAL PATHWAYS FOR HAPTIC AND VISUAL PERCEPTION OF SPATIAL AND TEXTURE INFORMATION

    Krish Sathian;Simon A Lacey;Randall Stilla;Gregory C. Gibson

  • Dynamic brain connectivity is a better predictor of PTSD than static connectivity.

    Changfeng Jin;Hao Jia;Pradyumna Lanka;D Rangaprakash

  • Behavioral relevance of the dynamics of the functional brain connectome.

    Hao Jia;Xiaoping Hu;Gopikrishna Deshpande

  • Investigating Effective Brain Connectivity from fMRI Data: Past Findings and Current Issues with Reference to Granger Causality Analysis

    Gopikrishna Deshpande;Xiaoping P Hu

  • Integrated local correlation: A new measure of local coherence in fMRI data

    Gopikrishna Deshpande;Stephen LaConte;Scott Peltier;Xiaoping Hu

  • Hemodynamic response function (HRF) variability confounds resting‐state fMRI functional connectivity

    D. Rangaprakash;Guo‐Rong Wu;Daniele Marinazzo;Xiaoping Hu

  • Object familiarity modulates effective connectivity during haptic shape perception.

    Gopikrishna Deshpande;Xiaoping P Hu;Simon A Lacey;Randall Stilla

  • Fluid Intelligence Allows Flexible Recruitment of the Parieto-Frontal Network in Analogical Reasoning

    Franziska Preusse;van der Meer Elke;Gopikrishna Deshpande;Frank Krueger

  • Compromised hippocampus-striatum pathway as a potential imaging biomarker of mild-traumatic brain injury and posttraumatic stress disorder

    D. Rangaprakash;Gopikrishna Deshpande;Thomas A. Daniel;Adam M. Goodman

  • Altered Local Coherence in the Default Mode Network due to Sevoflurane Anesthesia

    Gopikrishna Deshpande;Chantal Kerssens;Peter Simon Sebel;Xiaoping Hu

  • Posteromedial parietal cortical activity and inputs predict tactile spatial acuity

    Randall Stilla;Gopikrishna Deshpande;Stephen LaConte;Xiaoping Hu

  • Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework

    N. Chaitra;N. Chaitra;P.A. Vijaya;P.A. Vijaya;Gopikrishna Deshpande

Frequent Co-Authors

Xiaoping Hu
Xiaoping Hu University of California, Riverside
Krish Sathian
Krish Sathian Pennsylvania State University
Frank Krueger
Frank Krueger George Mason University
Jennifer L. Robinson
Jennifer L. Robinson Auburn University
Kuncheng Li
Kuncheng Li Capital Medical University
Lena Palaniyappan
Lena Palaniyappan McGill University
Jordan Grafman
Jordan Grafman Northwestern University
Yuejia Luo
Yuejia Luo Shenzhen University
Isabell Wartenburger
Isabell Wartenburger University of Potsdam
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute

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