World's Best Scientists 2026 revealed!
Barbara G. Shinn-Cunningham

Barbara G. Shinn-Cunningham

D-Index & Metrics

Neuroscience

D-Index
63
Citations
13394
World Ranking
3406
National Ranking
1579

Barbara G. Shinn-Cunningham 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 Barbara G. Shinn-Cunningham 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: 343 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Barbara G. Shinn-Cunningham 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 Barbara G. Shinn-Cunningham 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.

Research.com Recognitions

  • 2016 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2000 - Fellow of Alfred P. Sloan Foundation

Overview

Barbara G. Shinn-Cunningham is a researcher affiliated with Carnegie Mellon University in the United States. Their work spans extensive research in neuroscience, primarily focusing on cognitive neuroscience and experimental and cognitive psychology, with additional contributions to signal processing, speech and hearing, and biomedical engineering.

Their research addresses multiple main topics, including:

  • Neural dynamics and brain function
  • Hearing loss and rehabilitation
  • Neuroscience and music perception
  • EEG and brain-computer interfaces
  • Neural and behavioral psychology studies
  • Multisensory perception and integration
  • Speech and audio processing

Their recent research outputs demonstrate a focus on auditory processing, multisensory integration, and neural mechanisms underlying perception. Notable recent papers include:

  • Extended Frontal Networks for Visual and Auditory Working Memory (2021), published in Cerebral Cortex
  • Audio-visual spatial alignment improves integration in the presence of a competing audio-visual stimulus (2020), published in Neuropsychologia
  • Cutting Through the Noise: Noise-Induced Cochlear Synaptopathy and Individual Differences in Speech Understanding Among Listeners With Normal Audiograms (2021), published in Ear and Hearing
  • Atypical Perception of Sounds in Minimally and Low Verbal Children and Adolescents With Autism as Revealed by Behavioral and Neural Measures (2020), published in Autism Research
  • Neural Evidence for Speech Processing Deficits During a Cocktail Party Scenario in Minimally and Low Verbal Adolescents and Young Adults with Autism (2020), published in Autism Research

Frequent publication venues for this researcher include:

  • The Journal of the Acoustical Society of America
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Vision
  • Autism Research
  • Ear and Hearing

Collaborations are a significant part of their research activity, with frequent coauthors including Abigail Noyce, Vibha Viswanathan, Hari Bharadwaj, Michael G. Heinz, and Jana M. Kainerstorfer.

Barbara G. Shinn-Cunningham's publication record within neuroscience is particularly concentrated in cognitive neuroscience, reflecting 141 publications, alongside contributions to experimental and cognitive psychology, signal processing, speech and hearing, and biomedical engineering.

The researcher has been recognized with fellowships from the Indian National Academy of Engineering in 2016 and the Alfred P. Sloan Foundation in 2000.

Best Publications

  • Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG

    James A. O'Sullivan;Alan J. Power;Nima Mesgarani;Siddharth Rajaram

  • Object-based auditory and visual attention

    Barbara G. Shinn-Cunningham

  • Selective attention in normal and impaired hearing.

    Barbara G. Shinn-Cunningham;Virginia Best

  • Cochlear neuropathy and the coding of supra-threshold sound

    Hari M. Bharadwaj;Sarah Verhulst;Luke Shaheen;M. Charles Liberman

  • Note on informational masking (L)

    Nathaniel I. Durlach;Christine R. Mason;Gerald Kidd;Tanya L. Arbogast

  • Task-modulated what and where pathways in human auditory cortex

    Jyrki Ahveninen;Iiro P. Jääskeläinen;Iiro P. Jääskeläinen;Tommi Raij;Giorgio Bonmassar

  • Individual Differences Reveal Correlates of Hidden Hearing Deficits

    Hari M. Bharadwaj;Salwa Masud;Golbarg Mehraei;Sarah Verhulst

  • Localizing nearby sound sources in a classroom: binaural room impulse responses.

    Barbara G. Shinn-Cunningham;Norbert Kopco;Tara J. Martin

  • Robustness of Cortical Topography across Fields, Laminae, Anesthetic States, and Neurophysiological Signal Types

    Wei Guo;Anna R. Chambers;Anna R. Chambers;Keith N. Darrow;Keith N. Darrow;Kenneth E. Hancock;Kenneth E. Hancock

  • Normal hearing is not enough to guarantee robust encoding of suprathreshold features important in everyday communication

    Dorea Ruggles;Hari Bharadwaj;Barbara G. Shinn-Cunningham

  • Auditory Brainstem Response Latency in Noise as a Marker of Cochlear Synaptopathy.

    Golbarg Mehraei;Golbarg Mehraei;Ann E. Hickox;Hari M. Bharadwaj;Hannah Goldberg

  • Informational masking: Counteracting the effects of stimulus uncertainty by decreasing target-masker similarity

    Nathaniel I. Durlach;Christine R. Mason;Barbara G. Shinn-Cunningham;Tanya L. Arbogast

  • Object continuity enhances selective auditory attention

    Virginia Best;Erol J. Ozmeral;Norbert Kopčo;Barbara G. Shinn-Cunningham

  • Why Middle-Aged Listeners Have Trouble Hearing in Everyday Settings

    Dorea Ruggles;Hari Bharadwaj;Barbara G. Shinn-Cunningham

  • Effects of Categorization and Discrimination Training on Auditory Perceptual Space

    Frank H. Guenther;Fatima T. Husain;Michael A. Cohen;Barbara G. Shinn-Cunningham

  • Short-Term Memory for Space and Time Flexibly Recruit Complementary Sensory-Biased Frontal Lobe Attention Networks

    Samantha W. Michalka;Lingqiang Kong;Maya L. Rosen;Barbara G. Shinn-Cunningham

  • Adapting to supernormal auditory localization cues. I. Bias and resolution

    Barbara G. Shinn-Cunningham;Nathaniel I. Durlach;Richard M. Held

  • The pupil response reveals increased listening effort when it is difficult to focus attention

    Thomas Koelewijn;Hilde de Kluiver;Barbara G. Shinn-Cunningham;Adriana A. Zekveld

  • DISTANCE CUES FOR VIRTUAL AUDITORY SPACE

    B. G. Shinn-Cunningham

  • Meta-analysis and systematic review of the literature characterizing auditory mismatch negativity in individuals with autism

    Sophie Schwartz;Barbara Shinn-Cunningham;Helen Tager-Flusberg

  • An Investigation of the Effects of Categorization and Discrimination Training on Auditory Perceptual Space

    Frank H. Guenther;Fatima T. Husain;Michael A. Cohen;Barbara G. Shinn-Cunningham

Frequent Co-Authors

H. Steven Colburn
H. Steven Colburn Boston University
David C. Somers
David C. Somers Boston University
Gerald Kidd
Gerald Kidd Boston University
Christine R. Mason
Christine R. Mason Boston University
Torsten Dau
Torsten Dau Technical University of Denmark
Daniel B. Polley
Daniel B. Polley Massachusetts Eye and Ear Infirmary
Bertrand Delgutte
Bertrand Delgutte Massachusetts Eye and Ear Infirmary
Matti Hämäläinen
Matti Hämäläinen Harvard Medical School
M. Charles Liberman
M. Charles Liberman Massachusetts Eye and Ear Infirmary
Robert Sekuler
Robert Sekuler Brandeis University

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Related Online Degrees & Career Pathways

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Lastly, pursuing one of the easiest online college degrees related to neuroscience might be appealing if you want a manageable workload or have other commitments. These pathways offer flexibility while still equipping you with foundational knowledge to grow your career in neuroscience or related fields.

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