World's Best Scientists 2026 revealed!
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Kou Murayama

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 59 3633 3349 386 366 200 21581

Kou Murayama publications per year

The chart shows the history of publications by Kou Murayama between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kou Murayama published across 23 years, from 2003 to 2025, averaging 13 papers a year. Output peaked at 34 publications in 2023. 58 of the 298 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 34. Peak 34 publications in 2023. 2003: 1 publication 2004: 2 publications 2005: 2 publications 2006: 3 publications 2007: 0 publications 2008: 1 publication 2009: 2 publications 2010: 5 publications 2011: 8 publications 2012: 8 publications 2013: 10 publications 2014: 14 publications 2015: 10 publications 2016: 18 publications 2017: 18 publications 2018: 19 publications 2019: 22 publications 2020: 23 publications 2021: 15 publications 2022: 25 publications 2023: 34 publications 2024: 26 publications 2025: 32 publications
2003 2025

298 publications in total across all disciplines

View publications per year as a table
Kou Murayama: publications per year, 2003 to 2025
Year Publications
2003 1
2004 2
2005 2
2006 3
2007 0
2008 1
2009 2
2010 5
2011 8
2012 8
2013 10
2014 14
2015 10
2016 18
2017 18
2018 19
2019 22
2020 23
2021 15
2022 25
2023 34
2024 26
2025 32
Total 298
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Kou Murayama 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 Kou Murayama 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, 191–200 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: 200 publications — 69th percentile

69% 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
191–200 343 200
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
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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Kou Murayama 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 Kou Murayama 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, 58–59 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: 59 D-Index — 68th percentile

68% 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 59
60–61 321
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

Kou Murayama is affiliated with the University of Reading in the United Kingdom. Their primary field of study is psychology, with a focus on experimental and cognitive psychology, cognitive neuroscience, social psychology, developmental and educational psychology, and education.

Their research covers a range of topics, including:

  • Psychological and educational research studies
  • Mental health research topics
  • Education, achievement, and giftedness
  • Functional brain connectivity studies
  • Misinformation and its impacts
  • Motivation and self-concept in sports
  • Face recognition and perception

Murayama has published extensively in various academic venues. The frequent publication venues where their work appears include:

  • Learning and Instruction
  • Psychological Methods
  • Educational Psychology Review
  • Nature Human Behaviour
  • Contemporary Educational Psychology

They have collaborated often with several co-authors, notably:

  • Michiko Sakaki
  • Lily FitzGibbon
  • Stefanie Meliß
  • Ryo Ishii
  • Ayumi Tanaka

Selected recent papers by Kou Murayama include:

  • A reward-learning framework of knowledge acquisition: An integrated account of curiosity, interest, and intrinsic-extrinsic rewards. (2022), Psychological Review
  • Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling. (2022), Psychological Methods

Other relevant publications coauthored or cited alongside include:

  • These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis (2023), Advances in Methods and Practices in Psychological Science
  • Shared striatal activity in decisions to satisfy curiosity and hunger at the risk of electric shocks (2020), Nature Human Behaviour
  • How Are Curiosity and Interest Different? Naïve Bayes Classification of People's Beliefs (2021), Educational Psychology Review

Best Publications

  • Motivational, emotional, and behavioral correlates of fear of missing out

    Andrew K. Przybylski;Kou Murayama;Cody R. DeHaan;Valerie Gladwell

  • On the measurement of achievement goals: critique, illustration, and application

    Andrew J. Elliot;Kou Murayama

  • A 3 × 2 achievement goal model

    Andrew J. Elliot;Kou Murayama;Reinhard Pekrun

  • Achievement emotions and academic performance: longitudinal models of reciprocal effects

    Reinhard Pekrun;Reinhard Pekrun;Stephanie Lichtenfeld;Herbert W. Marsh;Herbert W. Marsh;Kou Murayama;Kou Murayama

  • The murky distinction between self-concept and self-efficacy. Beware of lurking jingle-jangle fallacies

    Herbert W. Marsh;Reinhard Pekrun;Philip D. Parker;Kou Murayama

  • Predicting Long-Term Growth in Students' Mathematics Achievement: The Unique Contributions of Motivation and Cognitive Strategies

    Kou Murayama;Reinhard Pekrun;Stephanie Lichtenfeld;Rudolf vom Hofe

  • The joint influence of personal achievement goals and classroom goal structures on achievement-relevant outcomes.

    Kou Murayama;Andrew J. Elliot

  • Mechanisms of motivation-cognition interaction: Challenges and opportunities

    Todd S. Braver;Marie K. Krug;Kimberly S. Chiew;Wouter Kool

  • Neural basis of the undermining effect of monetary reward on intrinsic motivation

    Kou Murayama;Madoka Matsumoto;Keise Izuma;Kenji Matsumoto

  • Internet Gaming Disorder: Investigating the Clinical Relevance of a New Phenomenon

    Andrew K. Przybylski;Netta Weinstein;Kou Murayama

  • The competition–performance relation: a meta-analytic review and test of the opposing processes model of competition and performance

    Kou Murayama;Andrew J. Elliot

  • A unified framework of longitudinal models to examine reciprocal relations.

    Satoshi Usami;Kou Murayama;Ellen L. Hamaker

  • The Ideal Self at Play The Appeal of Video Games That Let You Be All You Can Be

    Andrew K. Przybylski;Netta Weinstein;Kou Murayama;Martin F. Lynch

  • Neural correlates of cognitive dissonance and choice-induced preference change

    Keise Izuma;Madoka Matsumoto;Kou Murayama;Kazuyuki Samejima

  • The power of anticipated feedback: Effects on students' achievement goals and achievement emotions

    Reinhard Pekrun;Aisling Cusack;Kou Murayama;Andrew J. Elliot

  • An integrated model of academic self-concept development: Academic self-concept, grades, test scores, and tracking over 6 years.

    Herbert W. Marsh;Reinhard Pekrun;Kou Murayama;A. Katrin Arens

  • Measuring students' emotions in the early years: The Achievement Emotions Questionnaire-Elementary School (AEQ-ES)

    Stephanie Lichtenfeld;Reinhard Pekrun;Robert H. Stupnisky;Kristina Reiss

  • Process account of curiosity and interest: a reward-learning perspective

    Kou Murayama;Kou Murayama;Kou Murayama;Lily FitzGibbon;Michiko Sakaki;Michiko Sakaki

  • Forgetting as a consequence of retrieval: a meta-analytic review of retrieval-induced forgetting

    Kou Murayama;Toshiya Miyatsu;Dorothy Buchli;Benjamin C. Storm

  • A reward-learning framework of knowledge acquisition: An integrated account of curiosity, interest, and intrinsic–extrinsic rewards.

    Unknown

  • Separation of Performance-Approach and Performance-Avoidance Achievement Goals : A Broader Analysis.

    Kou Murayama;Andrew J. Elliot;Shinji Yamagata

Frequent Co-Authors

Andrew J. Elliot
Andrew J. Elliot University of Rochester
Reinhard Pekrun
Reinhard Pekrun Australian Catholic University
Alan D. Castel
Alan D. Castel University of California, Los Angeles
Andrew K. Przybylski
Andrew K. Przybylski University of Oxford
Herbert W. Marsh
Herbert W. Marsh Australian Catholic University
Netta Weinstein
Netta Weinstein University of Reading
Thomas Goetz
Thomas Goetz University of Vienna
Naoki Masuda
Naoki Masuda University at Buffalo, State University of New York
Jiesi Guo
Jiesi Guo Australian Catholic University
Cathy Creswell
Cathy Creswell University of Oxford

External Links

Personal website of Kou Murayama Google Scholar page

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Related Online Degrees & Career Pathways

If you are considering a degree in Psychology, you may be interested in related online degrees and career pathways such as Social Work. Social Work shares many foundational concepts with Psychology and offers diverse employment opportunities in areas like mental health, community outreach, and counseling.

Choosing the right online degree can depend on your geographic location and career goals. For example, if you’re in Tennessee, the top social work programs in Nashville are highly regarded for their flexible course structures and career support resources. Similarly, those interested in regional options can explore the top social work degrees in North Dakota or check out the top social work degrees in the Northeast for a broader selection of accredited online programs.

Additionally, Oklahoma students can benefit from reviewing the best social work degrees in Oklahoma, which highlight programs that blend online convenience with strong career placement rates. These interdisciplinary pathways often complement a Psychology background, expanding your professional reach and impact.

Best Scientists Citing Kou Murayama

Reinhard Pekrun

Reinhard Pekrun

Australian Catholic University

Publications: 59

Ronnel B. King

Ronnel B. King

Chinese University of Hong Kong

Publications: 36

Andrew J. Elliot

Andrew J. Elliot

University of Rochester

Publications: 33

Alan D. Castel

Alan D. Castel

University of California, Los Angeles

Publications: 32

Jon D. Elhai

Jon D. Elhai

University of Toledo

Publications: 30

Yulia Kovas

Yulia Kovas

Goldsmiths University of London

Publications: 28

Fabrizio Butera

Fabrizio Butera

University of Lausanne

Publications: 23

Daniel King

Daniel King

Flinders University

Publications: 22

Christian Montag

Christian Montag

University of Macau

Publications: 22

Andrew J. Martin

Andrew J. Martin

University of New South Wales

Publications: 20

Maarten Vansteenkiste

Maarten Vansteenkiste

Ghent University

Publications: 20

Dennis M. McInerney

Dennis M. McInerney

Education University of Hong Kong

Publications: 19

Markus Dresel

Markus Dresel

University of Augsburg

Publications: 19

Jianzhong Xu

Jianzhong Xu

Mississippi State University

Publications: 18

Ricarda Steinmayr

Ricarda Steinmayr

TU Dortmund University

Publications: 18

Céline Darnon

Céline Darnon

University of Clermont Auvergne

Publications: 18

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