World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 61 3347 3082 1889 1700 284 16573
Neuroscience 61 3625 3313 1670 1504 291 16849

Tyler M. Moore publications per year

The chart shows the history of publications by Tyler M. Moore between 2009 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tyler M. Moore published across 17 years, from 2009 to 2025, averaging 23.4 papers a year. Output peaked at 69 publications in 2021. 78 of the 397 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2009 to 2025. Vertical axis: number of publications, 0 to 69. Peak 69 publications in 2021. 2009: 1 publication 2010: 1 publication 2011: 1 publication 2012: 1 publication 2013: 3 publications 2014: 4 publications 2015: 10 publications 2016: 20 publications 2017: 29 publications 2018: 27 publications 2019: 31 publications 2020: 49 publications 2021: 69 publications 2022: 43 publications 2023: 30 publications 2024: 35 publications 2025: 43 publications
2009 2025

397 publications in total across all disciplines

View publications per year as a table
Tyler M. Moore: publications per year, 2009 to 2025
Year Publications
2009 1
2010 1
2011 1
2012 1
2013 3
2014 4
2015 10
2016 20
2017 29
2018 27
2019 31
2020 49
2021 69
2022 43
2023 30
2024 35
2025 43
Total 397
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Tyler M. Moore publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Tyler M. Moore sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 69 bars. Horizontal axis: publications, 31–40 to 705+. Vertical axis: number of scientists, 0 to 736. Most scientists, 736, have 101–110 publications. The last bar groups every scientist with 705 publications or more. The highlighted bar, 281–290 publications, is where this scientist sits. 31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31–40 publications 705+

This scientist: 284 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

View publications distribution as a table
Number of Psychology scientists by publication count, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
Publications Scientists This scientist
31–40 6
41–50 52
51–60 138
61–70 299
71–80 461
81–90 605
91–100 713
101–110 736
111–120 686
121–130 670
131–140 644
141–150 597
151–160 576
161–170 477
171–180 450
181–190 397
191–200 343
201–210 328
211–220 313
221–230 283
231–240 226
241–250 196
251–260 201
261–270 171
271–280 151
281–290 139 284
291–300 113
301–310 102
311–320 100
321–330 76
331–340 92
341–350 85
351–360 69
361–370 71
371–380 63
381–390 58
391–400 57
401–410 43
411–420 33
421–430 50
431–440 41
441–450 32
451–460 27
461–470 28
471–480 25
481–490 28
491–500 20
501–510 23
511–520 26
521–530 17
531–540 21
541–550 14
551–560 16
561–570 10
571–580 22
581–590 9
591–600 14
601–610 9
611–620 11
621–630 4
631–640 7
641–650 5
651–660 10
661–670 8
671–680 8
681–690 4
691–700 3
701–704 4
705+ 100
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Tyler M. Moore D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Tyler M. Moore sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 58 bars. Horizontal axis: D-Index, 30–31 to 144+. Vertical axis: number of scientists, 0 to 702. Most scientists, 702, have 32–33 D-Index. The last bar groups every scientist with 144 D-Index or more. The highlighted bar, 60–61 D-Index, is where this scientist sits. 30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30–31 D-Index 144+

This scientist: 61 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

View D-Index distribution as a table
Number of Psychology scientists by D-index, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
D-Index Scientists This scientist
30–31 398
32–33 702
34–35 671
36–37 659
38–39 641
40–41 671
42–43 617
44–45 558
46–47 495
48–49 487
50–51 445
52–53 390
54–55 408
56–57 345
58–59 325
60–61 321 61
62–63 248
64–65 290
66–67 218
68–69 219
70–71 215
72–73 183
74–75 169
76–77 132
78–79 137
80–81 120
82–83 112
84–85 86
86–87 101
88–89 83
90–91 77
92–93 70
94–95 78
96–97 58
98–99 53
100–101 57
102–103 48
104–105 53
106–107 46
108–109 24
110–111 35
112–113 27
114–115 32
116–117 31
118–119 22
120–121 16
122–123 24
124–125 18
126–127 11
128–129 19
130–131 10
132–133 16
134–135 10
136–137 12
138–139 8
140–141 5
142–143 12
144+ 98
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Overview

Tyler M. Moore is affiliated with the University of Pennsylvania in the United States and has contributed extensively to research across psychology, medicine, and neuroscience. Their body of work encompasses multiple intersecting disciplines, with primary focus on cognitive neuroscience, clinical psychology, experimental and cognitive psychology, psychiatry, mental health, and related fields of health and toxicology.

The scientist's research topics cover a broad range of areas, including functional brain connectivity studies, mental health research topics, child and adolescent psychosocial and emotional development, health and environment aspects related to cognitive aging, schizophrenia research and treatment, neural dynamics and brain function, and advanced neuroimaging techniques and applications.

Among the recent papers authored or co-authored by Tyler M. Moore are the following:

  • Resilience, COVID-19-related stress, anxiety and depression during the pandemic in a large population enriched for healthcare providers (2020), published in Translational Psychiatry
  • Individual Variation in Functional Topography of Association Networks in Youth (2020), published in Neuron
  • The Disproportionate Burden of the COVID-19 Pandemic Among Pregnant Black Women (2020), published in Psychiatry Research
  • Gene-environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach (2021), published in The Lancet Psychiatry
  • Association among income loss, financial strain and depressive symptoms during COVID-19: Evidence from two longitudinal studies (2021), published in Journal of Affective Disorders

The scientist frequently collaborates with a number of colleagues. The most frequent co-authors include Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Monica E. Calkins, and Ran Barzilay.

Tyler M. Moore's work appears predominantly in a select group of publication venues. Most of their publications are found in Biological Psychiatry, followed by bioRxiv (Cold Spring Harbor Laboratory), PsycTESTS Dataset, Schizophrenia Bulletin, and Biological Psychiatry Global Open Science.

Best Publications

  • Bifactor Models and Rotations: Exploring the Extent to Which Multidimensional Data Yield Univocal Scale Scores

    Steven P. Reise;Tyler M. Moore;Mark G. Haviland

  • The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight.

    Francine E. Garrett-Bakelman;Francine E. Garrett-Bakelman;Manjula Darshi;Stefan J. Green;Ruben C. Gur

  • Resilience, COVID-19-related stress, anxiety and depression during the pandemic in a large population enriched for healthcare providers.

    Ran Barzilay;Ran Barzilay;Tyler M. Moore;Tyler M. Moore;David M. Greenberg;Grace E. DiDomenico

  • Development of structure–function coupling in human brain networks during youth

    Graham L. Baum;Graham L. Baum;Zaixu Cui;Zaixu Cui;David R. Roalf;David R. Roalf;Rastko Ciric

  • Linked dimensions of psychopathology and connectivity in functional brain networks.

    Cedric Huchuan Xia;Zongming Ma;Rastko Ciric;Shi Gu;Shi Gu

  • Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth

    Graham L. Baum;Rastko Ciric;David R. Roalf;Richard F. Betzel

  • Association of Cannabis With Cognitive Functioning in Adolescents and Young Adults: A Systematic Review and Meta-analysis.

    J. Cobb Scott;J. Cobb Scott;Samantha T. Slomiak;Jason D. Jones;Adon F. G. Rosen

  • Psychometric Properties of the Penn Computerized Neurocognitive Battery

    Tyler M. Moore;Steven P. Reise;Raquel E. Gur;Hakon Hakonarson

  • The Barratt Impulsiveness Scale-11: reassessment of its structure in a community sample.

    Steven P. Reise;Tyler M. Moore;Fred W. Sabb;Amira K. Brown

  • The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative

    Monica E. Calkins;Kathleen R. Merikangas;Tyler M. Moore;Marcy Burstein

  • Adaptive rationality: An evolutionary perspective on cognitive bias

    Martie G. Haselton;Gregory A. Bryant;Andreas Wilke;David A. Frederick

  • Individual Variation in Functional Topography of Association Networks in Youth

    Zaixu Cui;Hongming Li;Cedric H. Xia;Bart Larsen

  • Developmental increases in white matter network controllability support a growing diversity of brain dynamics.

    Evelyn Tang;Chad Giusti;Graham L. Baum;Shi Gu

  • The psychosis spectrum in a young U.S. community sample: findings from the Philadelphia Neurodevelopmental Cohort.

    Monica E. Calkins;Tyler M. Moore;Kathleen R. Merikangas;Marcy Burstein

  • Neurocognitive growth charting in psychosis spectrum youths.

    Ruben C. Gur;Monica E. Calkins;Theodore D. Satterthwaite;Kosha Ruparel

  • Common and Dissociable Mechanisms of Executive System Dysfunction Across Psychiatric Disorders in Youth.

    Sheila Shanmugan;Daniel H. Wolf;Monica E. Calkins;Tyler M. Moore

  • Burden of Environmental Adversity Associated With Psychopathology, Maturation, and Brain Behavior Parameters in Youths.

    Raquel E Gur;Raquel E Gur;Tyler M Moore;Tyler M Moore;Adon F G Rosen;Adon F G Rosen;Ran Barzilay

  • The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort

    David R. Roalf;Megan Quarmley;Mark A. Elliott;Theodore D. Satterthwaite

  • Childhood trauma history is linked to abnormal brain connectivity in major depression.

    Meichen Yu;Kristin A. Linn;Russell T. Shinohara;Desmond J. Oathes

  • Association among income loss, financial strain and depressive symptoms during COVID-19: Evidence from two longitudinal studies.

    Nimrod Hertz-Palmor;Tyler M. Moore;Doron Gothelf;Grace E. DiDomenico

  • The Disproportionate Burden of the COVID-19 Pandemic Among Pregnant Black Women.

    Raquel E. Gur;Lauren K. White;Rebecca Waller;Ran Barzilay

Frequent Co-Authors

Raquel E. Gur
Raquel E. Gur University of Pennsylvania
Ruben C. Gur
Ruben C. Gur University of Pennsylvania
Theodore D. Satterthwaite
Theodore D. Satterthwaite University of Pennsylvania
Monica E. Calkins
Monica E. Calkins University of Pennsylvania
David R. Roalf
David R. Roalf University of Pennsylvania
Kosha Ruparel
Kosha Ruparel University of Pennsylvania
Daniel H. Wolf
Daniel H. Wolf University of Pennsylvania
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Russell T. Shinohara
Russell T. Shinohara University of Pennsylvania
J. Cobb Scott
J. Cobb Scott University of Pennsylvania

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