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Nicholas B. Turk-Browne

Nicholas B. Turk-Browne

Yale University
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 59 3937 3605 1785 1608 257 18841

Nicholas B. Turk-Browne publications per year

The chart shows the history of publications by Nicholas B. Turk-Browne between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nicholas B. Turk-Browne published across 23 years, from 2003 to 2025, averaging 13.8 papers a year. Output peaked at 32 publications in 2023. 36 of the 317 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2023. 2003: 1 publication 2004: 0 publications 2005: 3 publications 2006: 1 publication 2007: 6 publications 2008: 6 publications 2009: 2 publications 2010: 13 publications 2011: 9 publications 2012: 11 publications 2013: 24 publications 2014: 18 publications 2015: 16 publications 2016: 17 publications 2017: 14 publications 2018: 17 publications 2019: 18 publications 2020: 25 publications 2021: 25 publications 2022: 23 publications 2023: 32 publications 2024: 19 publications 2025: 17 publications
2003 2025

317 publications in total across all disciplines

View publications per year as a table
Nicholas B. Turk-Browne: publications per year, 2003 to 2025
Year Publications
2003 1
2004 0
2005 3
2006 1
2007 6
2008 6
2009 2
2010 13
2011 9
2012 11
2013 24
2014 18
2015 16
2016 17
2017 14
2018 17
2019 18
2020 25
2021 25
2022 23
2023 32
2024 19
2025 17
Total 317
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Nicholas B. Turk-Browne 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 Nicholas B. Turk-Browne sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 248–257 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 257 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174 257
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

Nicholas B. Turk-Browne 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 Nicholas B. Turk-Browne sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 58–59 D-Index, is where this scientist sits. 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
30–31 D-Index 163+

This scientist: 59 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334 59
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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Overview

Nicholas B. Turk-Browne is a researcher affiliated with Yale University in the United States, specializing primarily in the field of neuroscience. Their work encompasses a range of subfields including cognitive neuroscience, cellular and molecular neuroscience, developmental and educational psychology, computer vision and pattern recognition, and radiology, nuclear medicine, and imaging.

The main research topics Nicholas focuses on involve neural dynamics and brain function, memory and neural mechanisms, functional brain connectivity studies, visual perception and processing mechanisms, neuroscience and neuropharmacology research, face recognition and perception, and neural and behavioral psychology studies.

Their recent publications demonstrate a focus on both cognitive and neural mechanisms underlying learning and brain function. These include:

  • Learning hierarchical sequence representations across human cortex and hippocampus (2021, Science Advances)
  • The prevalence and importance of statistical learning in human cognition and behavior (2020, Current Opinion in Behavioral Sciences)
  • Statistical prediction of the future impairs episodic encoding of the present (2020, Proceedings of the National Academy of Sciences)
  • Re-imagining fMRI for awake behaving infants (2020, Nature Communications)
  • Evidence of hippocampal learning in human infants (2021, Current Biology)

Frequent collaborators in their work include Cameron T. Ellis, Tristan S. Yates, Kenneth A. Norman, Brynn E. Sherman, and Kathryn N. Graves, indicating strong collaborative research across multiple studies.

Nicholas has published frequently in venues such as bioRxiv (Cold Spring Harbor Laboratory), Journal of Vision, Journal of Cognitive Neuroscience, Proceedings of the National Academy of Sciences, and NeuroImage. These outlets highlight their engagement with both preprint and peer-reviewed formats relevant to neuroscience and cognitive science fields.

Best Publications

  • Brain charts for the human lifespan

    Unknown

  • A taxonomy of external and internal attention.

    Marvin M. Chun;Julie D. Golomb;Nicholas B. Turk-Browne

  • The Automaticity of Visual Statistical Learning

    Nicholas B. Turk-Browne;Justin A. Jungé;Brian J. Scholl

  • Interactions between attention and memory.

    Marvin M Chun;Nicholas B Turk-Browne

  • Best practices in data analysis and sharing in neuroimaging using MRI.

    Thomas E Nichols;Samir Das;Samir Das;Simon B Eickhoff;Simon B Eickhoff;Alan C Evans;Alan C Evans

  • Neural evidence of statistical learning: Efficient detection of visual regularities without awareness

    Nicholas B. Turk-Browne;Brian J. Scholl;Marvin M. Chun;Marcia K. Johnson

  • Neural representations of events arise from temporal community structure

    Anna C Schapiro;Timothy T Rogers;Natalia I Cordova;Nicholas B Turk-Browne

  • Shaping of Object Representations in the Human Medial Temporal Lobe Based on Temporal Regularities

    Anna C. Schapiro;Lauren V. Kustner;Nicholas B. Turk-Browne

  • Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning

    Anna C. Schapiro;Nicholas B. Turk-Browne;Matthew M. Botvinick;Kenneth A. Norman

  • Implicit Perceptual Anticipation Triggered by Statistical Learning

    Nicholas B. Turk-Browne;Brian J. Scholl;Marcia K. Johnson;Marvin M. Chun

  • Closed-loop training of attention with real-time brain imaging

    Megan T. DeBettencourt;Jonathan D. Cohen;Ray F. Lee;Kenneth Andrew Norman

  • Attention Is Spontaneously Biased Toward Regularities

    Jiaying Zhao;Naseem Al-Aidroos;Nicholas B. Turk-Browne

  • Statistical learning of temporal community structure in the hippocampus

    Anna C. Schapiro;Nicholas B. Turk-Browne;Kenneth A. Norman;Matthew M. Botvinick

  • The necessity of the medial temporal lobe for statistical learning

    Anna C. Schapiro;Emma Gregory;Barbara Landau;Michael McCloskey

  • Linking Implicit and Explicit Memory: Common Encoding Factors and Shared Representations

    Nicholas B. Turk-Browne;Do Joon Yi;Marvin M. Chun

  • Optimizing real time fMRI neurofeedback for therapeutic discovery and development

    L.E. Stoeckel;L.E. Stoeckel;K.A. Garrison;S.S. Ghosh;P. Wighton

  • Linking pattern completion in the hippocampus to predictive coding in visual cortex

    Nicholas C Hindy;Felicia Y Ng;Nicholas B Turk-Browne

  • Memory-guided attention: control from multiple memory systems

    J. Benjamin Hutchinson;Nicholas B. Turk-Browne

  • Computational approaches to fMRI analysis.

    Jonathan D Cohen;Nathaniel Daw;Barbara Engelhardt;Uri Hasson

  • Neural predictors of moment-to-moment fluctuations in cognitive flexibility

    Andrew B. Leber;Nicholas B. Turk-Browne;Marvin M. Chun

  • Mechanisms for widespread hippocampal involvement in cognition.

    Daphna Shohamy;Nicholas B. Turk-Browne

Frequent Co-Authors

Kenneth A. Norman
Kenneth A. Norman Princeton University
Marvin M. Chun
Marvin M. Chun Yale University
Jonathan D. Cohen
Jonathan D. Cohen Princeton University
Brian J. Scholl
Brian J. Scholl Yale University
Lucia Melloni
Lucia Melloni Max Planck Society
Kai Li
Kai Li Princeton University
Alexander Todorov
Alexander Todorov University of Chicago
Sabine Kastner
Sabine Kastner Princeton University
Judson A. Brewer
Judson A. Brewer Brown University
Barbara Landau
Barbara Landau Johns Hopkins University

External Links

Personal website of Nicholas B. Turk-Browne

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Best Scientists Citing Nicholas B. Turk-Browne

Danielle S. Bassett

Danielle S. Bassett

University of Pennsylvania

Publications: 46

Uri Hasson

Uri Hasson

Princeton University

Publications: 42

Kenneth A. Norman

Kenneth A. Norman

Princeton University

Publications: 40

Dezso Nemeth

Dezso Nemeth

Eötvös Loránd University

Publications: 37

Lila Davachi

Lila Davachi

Columbia University

Publications: 36

Karolina Janacsek

Karolina Janacsek

Eötvös Loránd University

Publications: 35

Marvin M. Chun

Marvin M. Chun

Yale University

Publications: 33

Christian F. Doeller

Christian F. Doeller

Max Planck Institute for Human Cognitive and Brain Sciences

Publications: 31

Jennifer D. Ryan

Jennifer D. Ryan

University of Toronto

Publications: 30

Ram Frost

Ram Frost

Hebrew University of Jerusalem

Publications: 27

Anna C. Nobre

Anna C. Nobre

Yale University

Publications: 25

Morten H. Christiansen

Morten H. Christiansen

Cornell University

Publications: 25

Alison R. Preston

Alison R. Preston

The University of Texas at Austin

Publications: 22

Floris P. de Lange

Floris P. de Lange

Radboud University

Publications: 22

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Samuel J. Gershman

Harvard University

Publications: 22

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Morgan D. Barense

University of Toronto

Publications: 22

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