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2026

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Best Scientists

D-Index
204
Citations
164316
World Ranking
249
National Ranking
3

Psychology

D-Index
207
Citations
169333
World Ranking
7
National Ranking
2

Herbert W. Marsh 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 Herbert W. Marsh sits on this spectrum.

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 publications 705+

This scientist: 739 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Herbert W. Marsh 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 Herbert W. Marsh sits on this spectrum.

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 D-Index 144+

This scientist: 207 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Psychology in Australia Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Psychology in Australia Leader Award
  • 2023 - Research.com Psychology in Australia Leader Award
  • 2022 - Research.com Psychology in Australia Leader Award
  • 2012 - Fellow of the American Educational Research Association

Overview

Herbert W. Marsh is affiliated with the Australian Catholic University in Australia. Their primary fields of study encompass Psychology and Social Sciences, with notable subfields including Social Psychology, Experimental and Cognitive Psychology, Education, Clinical Psychology, and Developmental and Educational Psychology.

Their research focuses on various main topics such as Education, Achievement, and Giftedness; Motivation and Self-Concept in Sports; Early Childhood Education and Development; Grit, Self-Efficacy, and Motivation; School Choice and Performance; Psychological Well-being and Life Satisfaction; and Psychometric Methodologies and Testing.

Marsh has contributed extensively to the academic community, with frequent publications in several key venues. These include:

  • Journal of Educational Psychology
  • Educational Psychology Review
  • Learning and Instruction
  • Journal of Personality and Social Psychology
  • Contemporary Educational Psychology

Among the recent papers authored or co-authored by Marsh are:

  • "A three-dimensional taxonomy of achievement emotions." (2022), published in the Journal of Personality and Social Psychology
  • "Control-value appraisals, achievement emotions, and foreign language performance: A latent interaction analysis" (2020), published in Learning and Instruction
  • "Psychological Comparison Processes and Self-Concept in Relation to Five Distinct Frame-Of-Reference Effects: Pan-Human Cross-Cultural Generalizability over 68 Countries" (2020), published in European Journal of Personality
  • "EXPLORATORY STRUCTURAL EQUATION MODELING IN SECOND LANGUAGE RESEARCH" (2022), published in Studies in Second Language Acquisition
  • "The roles of social-emotional skills in students' academic and life success: A multi-informant and multicohort perspective." (2022), published in Journal of Personality and Social Psychology

Their frequent co-authors comprise:

  • Jiesi Guo
  • Reinhard Pekrun
  • Philip D. Parker
  • Geetanjali Basarkod
  • Theresa Dicke

Herbert W. Marsh has been recognized as a Fellow of the American Educational Research Association since 2012.

Best Publications

  • In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings

    Herbert W. Marsh;Kit-Tai Hau;Zhonglin Wen

  • Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size

    Herbert W. Marsh;John R. Balla;Roderick P. McDonald

  • Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups.

    Herbert W. Marsh;Dennis Hocevar

  • Self-Concept: Its Multifaceted, Hierarchical Structure

    Herbert W. Marsh;Richard J. Shavelson

  • Students' evaluations of University teaching: Research findings, methodological issues, and directions for future research

    Herbert W. Marsh

  • Development and Validation of a Scale to Measure Optimal Experience: The Flow State Scale

    Susan A. Jackson;Herbert W. Marsh

  • Choosing a multivariate model: Noncentrality and goodness of fit.

    Roderick P. McDonald;Herbert W. Marsh

  • Exploratory Structural Equation Modeling: An Integration of the Best Features of Exploratory and Confirmatory Factor Analysis

    Herbert Warren Marsh;Alexandre J. S. Morin;Phillip David Parker;Gurvinder Kaur

  • Reciprocal Effects of Self-Concept and Performance From a Multidimensional Perspective: Beyond Seductive Pleasure and Unidimensional Perspectives:

    Herbert W. Marsh;Rhonda G. Craven

  • Is More Ever Too Much? The Number of Indicators per Factor in Confirmatory Factor Analysis.

    Herbert W. Marsh;Kit-Tai Hau;John R. Balla;David Grayson

  • Adventure Education and Outward Bound: Out-of-Class Experiences That Make a Lasting Difference

    John Hattie;H. W. Marsh;James T. Neill;Garry E. Richards

  • Academic Self‐Concept, Interest, Grades, and Standardized Test Scores: Reciprocal Effects Models of Causal Ordering

    Herbert W. Marsh;Ulrich Trautwein;Oliver Lüdtke;Olaf Köller

  • Age and sex effects in multiple dimensions of self-concept: Preadolescence to early adulthood.

    Herbert W. Marsh

  • A multidimensional, hierarchical model of self-concept: Theoretical and empirical justification

    Herbert W. Marsh

  • The Relationship Between Research and Teaching: A Meta-Analysis

    John Hattie;Herb Marsh

  • Students' evaluations of university teaching: Dimensionality, reliability, validity, potential baises, and utility.

    Herbert W. Marsh

  • Making students' evaluations of teaching effectiveness effective: The critical issues of validity, bias, and utility.

    Herbert W. Marsh;Lawrence A. Roche

  • Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction.

    Herbert W. Marsh;Zhonglin Wen;Kit-Tai Hau

  • The big-fish-little-pond effect on academic self-concept.

    Herbert W. Marsh

  • An evaluation of incremental fit indices: A clarification of mathematical and empirical properties.

    Herbert W. Marsh;John R. Balla;Kit-Tai Hau

  • A Multifaceted Academic Self-Concept: Its Hierarchical Structure and Its Relation to Academic Achievement

    Herbert W. Marsh;Barbara M. Byrne;Richard J. Shavelson

Frequent Co-Authors

Rhonda Craven
Rhonda Craven Australian Catholic University
Andrew J. Martin
Andrew J. Martin University of New South Wales
Philip D. Parker
Philip D. Parker Australian Catholic University
Alexandre J. S. Morin
Alexandre J. S. Morin Concordia University
Kit-Tai Hau
Kit-Tai Hau Chinese University of Hong Kong
Benjamin Nagengast
Benjamin Nagengast University of Tübingen
Ulrich Trautwein
Ulrich Trautwein University of Tübingen
Oliver Lüdtke
Oliver Lüdtke Leibniz Institute for Science and Mathematics Education
Dennis M. McInerney
Dennis M. McInerney Education University of Hong Kong
Jiesi Guo
Jiesi Guo Australian Catholic University

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