World's Best Scientists 2026 revealed!
Evelina Fedorenko

Evelina Fedorenko

D-Index & Metrics

Psychology

D-Index
65
Citations
16078
World Ranking
2833
National Ranking
1636

Neuroscience

D-Index
69
Citations
17892
World Ranking
2616
National Ranking
1240

Evelina Fedorenko 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 Evelina Fedorenko 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: 205 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Evelina Fedorenko 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 Evelina Fedorenko 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: 69 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Overview

Evelina Fedorenko is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research focuses primarily on the intersection of neuroscience and psychology, with a concentration in cognitive neuroscience. This work explores language processing, neurobiology, and brain function through integrative modeling and empirical studies.

The main fields of study for Fedorenko include:

  • Neuroscience
  • Psychology

Within these broader domains, their research emphasizes the following subfields:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Developmental and Educational Psychology
  • Social Psychology
  • Experimental and Cognitive Psychology

Fedorenko's work covers several key topics as well, including:

  • Neurobiology of Language and Bilingualism
  • Action Observation and Synchronization
  • Topic Modeling
  • Language Development and Disorders
  • Reading and Literacy Development
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function

Some of the recent papers authored or co-authored by Fedorenko include:

  • The language network as a natural kind within the broader landscape of the human brain, 2024, Nature Reviews Neuroscience
  • Broca's Area Is Not a Natural Kind, 2020, Trends in Cognitive Sciences

Other important recent publications relevant to their network include:

  • The neural architecture of language: Integrative modeling converges on predictive processing, 2021, Proceedings of the National Academy of Sciences
  • An investigation across 45 languages and 12 language families reveals a universal language network, 2022, Nature Neuroscience
  • Dissociating language and thought in large language models, 2024, Trends in Cognitive Sciences

Frequent collaborators in Fedorenko's research include:

  • Idan Blank
  • Greta Tuckute
  • Hope Kean
  • Zachary Mineroff
  • Anna A. Ivanova

The scientist often publishes in venues notable within the neuroscience and cognitive science communities. Key publication outlets are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Neurobiology of Language
  • Cerebral Cortex
  • Nature Reviews Neuroscience

Best Publications

  • Broad domain generality in focal regions of frontal and parietal cortex

    Evelina G. Fedorenko;John Duncan;John Duncan;Nancy Kanwisher

  • Number as a cognitive technology: evidence from Pirahã language and cognition.

    Michael C. Frank;Daniel L. Everett;Evelina Fedorenko;Edward Gibson

  • New Method for fMRI Investigations of Language: Defining ROIs Functionally in Individual Subjects

    Evelina Fedorenko;Po-Jang Hsieh;Alfonso Nieto-Castañón;Susan Whitfield-Gabrieli

  • Reworking the language network

    Evelina Fedorenko;Sharon L. Thompson-Schill

  • Functional specificity for high-level linguistic processing in the human brain

    Evelina G. Fedorenko;Michael K. Behr;Nancy Kanwisher

  • Language-selective and domain-general regions lie side by side within Broca's area.

    Evelina Fedorenko;John Duncan;Nancy Kanwisher

  • The neural architecture of language: Integrative modeling converges on predictive processing.

    Martin Schrimpf;Idan Asher Blank;Greta Tuckute;Carina Kauf

  • Language processing in the occipital cortex of congenitally blind adults

    Marina Bedny;Alvaro Pascual-Leone;David Dodell-Feder;Evelina G. Fedorenko

  • Acoustic Correlates of Information Structure.

    Mara Breen;Evelina G. Fedorenko;Michael Wagner;Edward A. Gibson

  • Structural integration in language and music: evidence for a shared system.

    Evelina G. Fedorenko;Aniruddh Patel;Daniel Casasanto;Jonathan Winawer

  • An algorithmic method for functionally defining regions of interest in the ventral visual pathway.

    Joshua B. Julian;Evelina Fedorenko;Jason Webster;Nancy Kanwisher

  • Toward a universal decoder of linguistic meaning from brain activation

    Francisco Pereira;Bin Lou;Brianna Pritchett;Samuel Ritter

  • The need for quantitative methods in syntax and semantics research

    Edward A. Gibson;Evelina G. Fedorenko

  • Info/Information Theory: Speakers Choose Shorter Words in Predictive Contexts.

    Kyle Mahowald;Evelina Fedorenko;Steven T. Piantadosi;Edward Gibson

  • The nature of working memory capacity in sentence comprehension : Evidence against domain-specific working memory resources

    Evelina Fedorenko;Edward Gibson;Douglas Rohde

  • Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses.

    Alfonso Nieto-Castañón;Evelina Fedorenko

  • Language and thought are not the same thing: evidence from neuroimaging and neurological patients.

    Evelina Fedorenko;Evelina Fedorenko;Rosemary Varley

  • Broca's Area Is Not a Natural Kind.

    Evelina Fedorenko;Idan A. Blank

  • The role of domain-general cognitive control in language comprehension.

    Evelina Fedorenko

  • An investigation across 45 languages and 12 language families reveals a universal language network

    Unknown

  • Weak Quantitative Standards in Linguistics Research

    Edward A Gibson;Evelina G Fedorenko

  • The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing

    Martin Schrimpf;Martin Schrimpf;Idan Blank;Idan Blank;Greta Tuckute;Carina Kauf

Frequent Co-Authors

Steven Piantadosi
Steven Piantadosi University of California, Berkeley
Simon E. Fisher
Simon E. Fisher Max Planck Society
Nathalie Tzourio-Mazoyer
Nathalie Tzourio-Mazoyer University of Bordeaux
Marc Joliot
Marc Joliot University of Bordeaux
Clyde Francks
Clyde Francks Max Planck Society
John S. Duncan
John S. Duncan University College London

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