World's Best Scientists 2026 revealed!
Steven M. Stufflebeam

Steven M. Stufflebeam

D-Index & Metrics

Neuroscience

D-Index
50
Citations
9158
World Ranking
5752
National Ranking
2537

Steven M. Stufflebeam publications per year

1993: 2 publications 1994: 1 publications 1995: 0 publications 1996: 1 publications 1997: 0 publications 1998: 1 publications 1999: 0 publications 2000: 3 publications 2001: 1 publications 2002: 1 publications 2003: 1 publications 2004: 7 publications 2005: 3 publications 2006: 3 publications 2007: 7 publications 2008: 3 publications 2009: 12 publications 2010: 7 publications 2011: 4 publications 2012: 5 publications 2013: 5 publications 2014: 8 publications 2015: 11 publications 2016: 9 publications 2017: 5 publications 2018: 5 publications 2019: 8 publications 2020: 7 publications 2021: 12 publications 2022: 7 publications 2023: 4 publications 2024: 5 publications 2025: 7 publications 2026: 1 publications
1993 2026

156 publications in total across all disciplines

Steven M. Stufflebeam publication distribution in Neuroscience in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2027. The highlighted bar marks where Steven M. Stufflebeam 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: 144 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Steven M. Stufflebeam D-index placement in Neuroscience in 2027

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2027. The highlighted bar marks where Steven M. Stufflebeam 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: 50 D-Index — 41st percentile

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

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

Overview

Steven M. Stufflebeam is affiliated with Harvard University in the United States and has contributed extensively to research in medicine and neuroscience. Their work spans several key areas including cognitive neuroscience, psychiatry and mental health, radiology and nuclear medicine, neurology, as well as atomic and molecular physics and optics.

The scientist's research focuses on topics such as functional brain connectivity studies, epilepsy research and treatment, advanced MRI techniques and applications, neural dynamics and brain function, EEG and brain-computer interfaces, atomic and subatomic physics research, and transcranial magnetic stimulation studies.

Recent publications by Steven M. Stufflebeam include the following:

  • Diet modulates brain network stability, a biomarker for brain aging, in young adults (2020), published in Proceedings of the National Academy of Sciences
  • 7T Epilepsy Task Force Consensus Recommendations on the Use of 7T MRI in Clinical Practice (2020), published in Neurology
  • Scalp ripples as prognostic biomarkers of epileptogenicity in pediatric surgery (2020), published in Annals of Clinical and Translational Neurology
  • Regional healthy brain activity, glioma occurrence and symptomatology (2022), published in Brain
  • Presurgical accuracy of dipole clustering in MRI-negative pediatric patients with epilepsy: Validation against intracranial EEG and resection (2021), published in Clinical Neurophysiology

Frequent co-authors include:

  • Noam Peled
  • Phillip L. Pearl
  • Christos Papadelis
  • Valentina Gumenyuk
  • Taha Gholipour

Steven M. Stufflebeam's work has been published repeatedly in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Clinical Neurophysiology
  • Neurology
  • Journal of Neuroimaging
  • Epilepsia

The breadth of publication venues and topics illustrates an interdisciplinary approach, integrating neurological imaging and functional brain studies with clinical applications, particularly in the context of epilepsy and brain aging.

Best Publications

  • Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates

    Fa-Hsuan Lin;Thomas Witzel;Seppo P. Ahlfors;Steven M. Stufflebeam

  • Parcellating cortical functional networks in individuals

    Danhong Wang;Randy L Buckner;Michael D Fox;Michael D Fox;Daphne J Holt

  • Human posterior auditory cortex gates novel sounds to consciousness.

    Iiro P. Jääskeläinen;Jyrki Ahveninen;Giorgio Bonmassar;Anders M. Dale

  • Evidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors.

    Hesheng Liu;Steven M. Stufflebeam;Jorge Sepulcre;Trey Hedden

  • Mapping the signal-to-noise-ratios of cortical sources in magnetoencephalography and electroencephalography.

    Daniel M. Goldenholz;Seppo P. Ahlfors;Seppo P. Ahlfors;Matti S. Hämäläinen;Matti S. Hämäläinen;Dahlia Sharon

  • 3T phased array MRI improves the presurgical evaluation in focal epilepsies: A prospective study

    S. Knake;C. Triantafyllou;L. L. Wald;G. Wiggins

  • A surface-based analysis of language lateralization and cortical asymmetry

    Douglas N. Greve;Lise Van der Haegen;Qing Cai;Qing Cai;Qing Cai;Steven Stufflebeam

  • Quantitative Analysis and Biophysically Realistic Neural Modeling of the MEG Mu Rhythm: Rhythmogenesis and Modulation of Sensory-Evoked Responses

    Stephanie R. Jones;Dominique L. Pritchett;Michael A. Sikora;Steven M. Stufflebeam

  • Modeling GABA Alterations in Schizophrenia: A Link Between Impaired Inhibition and Altered Gamma and Beta Range Auditory Entrainment

    Dorea Vierling-Claassen;Peter Siekmeier;Steven Stufflebeam;Nancy J Kopell

  • Quantification of the benefit from integrating MEG and EEG data in minimum l2-norm estimation.

    A. Molins;Steven M. Stufflebeam;Emery N. Brown;Matti S. Hämäläinen;Matti S. Hämäläinen

  • Spectral spatiotemporal imaging of cortical oscillations and interactions in the human brain

    Fa-Hsuan Lin;Thomas Witzel;Matti S. Hämäläinen;Anders M. Dale

  • Latency of the auditory evoked neuromagnetic field components: stimulus dependence and insights toward perception.

    Timothy P.L. Roberts;Paul Ferrari;Steven M. Stufflebeam;David Poeppel

  • Information theoretic analysis of dynamical encoding by four identified primary sensory interneurons in the cricket cercal system.

    Frederic E. Theunissen;J. C. Roddey;S. Stufflebeam;H. Clague

  • The value of multichannel MEG and EEG in the presurgical evaluation of 70 epilepsy patients.

    S. Knake;S. Knake;E. Halgren;H. Shiraishi;K. Hara

  • Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study.

    Stephanie R. Jones;Dominique L. Pritchett;Steven M. Stufflebeam;Matti Hämäläinen

  • Onset timing of cross-sensory activations and multisensory interactions in auditory and visual sensory cortices.

    Tommi Raij;Jyrki Ahveninen;Fa Hsuan Lin;Fa Hsuan Lin;Thomas Witzel

  • A mapping between structural and functional brain networks.

    Meier J;Tewarie P;Hillebrand A;Douw L

  • State-dependent variability of dynamic functional connectivity between frontoparietal and default networks relates to cognitive flexibility

    Linda Douw;Daniel G. Wakeman;Naoaki Tanaka;Hesheng Liu

  • Task-free presurgical mapping using functional magnetic resonance imaging intrinsic activity

    Hesheng Liu;Randy L. Buckner;Randy L. Buckner;Randy L. Buckner;Tanveer Talukdar;Tanveer Talukdar;Naoaki Tanaka

  • Diet modulates brain network stability, a biomarker for brain aging, in young adults

    Lilianne R. Mujica-Parodi;Lilianne R. Mujica-Parodi;Anar Amgalan;Syed Fahad Sultan;Botond Antal

  • EEG functional connectivity is partially predicted by underlying white matter connectivity.

    C. J. Chu;N. Tanaka;J. Diaz;Brian L. Edlow

Frequent Co-Authors

Matti Hämäläinen
Matti Hämäläinen Harvard Medical School
Hesheng Liu
Hesheng Liu Peking University
Joseph R. Madsen
Joseph R. Madsen Boston Children's Hospital
Linda Douw
Linda Douw Vrije Universiteit Amsterdam
Seppo P. Ahlfors
Seppo P. Ahlfors Harvard University
Susanne Knake
Susanne Knake Philipp University of Marburg
Andrew J. Cole
Andrew J. Cole Harvard University
Eric Halgren
Eric Halgren University of California, San Diego
Blaise F. D. Bourgeois
Blaise F. D. Bourgeois Boston Children's Hospital
Bruce R. Rosen
Bruce R. Rosen Harvard University

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