World's Best Scientists 2026 revealed!
Benjamin Nagengast

Benjamin Nagengast

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 49 5588 5188 264 260 151 13081

Benjamin Nagengast publications per year

The chart shows the history of publications by Benjamin Nagengast between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Benjamin Nagengast published across 24 years, from 2002 to 2025, averaging 7.5 papers a year. Output peaked at 21 publications in 2021. 21 of the 180 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2021. 2002: 1 publication 2003: 0 publications 2004: 0 publications 2005: 1 publication 2006: 1 publication 2007: 0 publications 2008: 0 publications 2009: 2 publications 2010: 3 publications 2011: 9 publications 2012: 7 publications 2013: 13 publications 2014: 12 publications 2015: 14 publications 2016: 5 publications 2017: 20 publications 2018: 11 publications 2019: 11 publications 2020: 12 publications 2021: 21 publications 2022: 8 publications 2023: 8 publications 2024: 11 publications 2025: 10 publications
2002 2025

180 publications in total across all disciplines

View publications per year as a table
Benjamin Nagengast: publications per year, 2002 to 2025
Year Publications
2002 1
2003 0
2004 0
2005 1
2006 1
2007 0
2008 0
2009 2
2010 3
2011 9
2012 7
2013 13
2014 12
2015 14
2016 5
2017 20
2018 11
2019 11
2020 12
2021 21
2022 8
2023 8
2024 11
2025 10
Total 180
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Benjamin Nagengast 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 Benjamin Nagengast 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, 151–160 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: 151 publications — 50th percentile

50% 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
151–160 576 151
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
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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Benjamin Nagengast 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 Benjamin Nagengast 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, 48–49 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: 49 D-Index — 52nd percentile

52% 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 49
50–51 445
52–53 390
54–55 408
56–57 345
58–59 325
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

Benjamin Nagengast is affiliated with the University of Tübingen in Germany. Their research primarily spans psychology and social sciences, with a focus on experimental and cognitive psychology, education, social psychology, sociology, political science, and developmental and educational psychology.

Their scholarly output includes papers published in several key academic venues such as the Journal of Educational Psychology, Learning and Instruction, Contemporary Educational Psychology, Zeitschrift für Erziehungswissenschaft, and AERA Open.

The main topics addressed in Benjamin Nagengast's work include education, achievement, and giftedness, motivation and self-concept in sports, early childhood education and development, career development and diversity, reading and literacy development, parental involvement in education, and youth development and social support.

Some of their recent publications are:

  • The "situative nature" of competence and value beliefs and the predictive power of autonomy support: A multilevel investigation of repeated observations, 2021, Journal of Educational Psychology
  • It Takes Two: Expectancy-Value Constructs and Vocational Interests Jointly Predict STEM Major Choices, 2020, Contemporary Educational Psychology
  • The transmission of values from math teachers to their ninth-grade students: Different mechanisms for different value dimensions?, 2020, Contemporary Educational Psychology
  • RIASEC interests and the Big Five personality traits matter for life success-But do they already matter for educational track choices?, 2020, Journal of Personality
  • When academic achievement (also) reflects personality: Using the personality-achievement saturation hypothesis (PASH) to explain differential associations between achievement measures and personality traits, 2021, Journal of Educational Psychology

Benjamin Nagengast has collaborated frequently with several scholars including Ulrich Trautwein, Hanna Gaspard, Nicolas Hübner, Cora Parrisius, and Steffen Zitzmann.

In addition to journal articles, they have contributed to book publications such as Literar- und medienästhetisches Lernen: Zum Praxisbezug fachdidaktischer Forschungspraktiken, published within the Sprachlich-literarisches Lernen und Deutschdidaktik. Bände series in 2024.

Best Publications

  • A new look at the big five factor structure through exploratory structural equation modeling.

    Herbert W. Marsh;Oliver Lüdtke;Bengt Muthén;Tihomir Asparouhov

  • Classroom climate and contextual effects : conceptual and methodological issues in the evaluation of group-level effects

    Herbert W. Marsh;Oliver Lüdtke;Benjamin Nagengast;Ulrich Trautwein

  • Probing for the multiplicative term in modern expectancy-value theory: a latent interaction modeling study

    Ulrich Trautwein;Herbert W Marsh;Benjamin Nagengast;Oliver Lüdtke

  • Doubly-Latent Models of School Contextual Effects: Integrating Multilevel and Structural Equation Approaches to Control Measurement and Sampling Error.

    Herbert Warren Marsh;Oliver Ludtke;Alexander Robitzsch;Ulrich Trautwein

  • Measurement invariance of big-five factors over the life span: ESEM tests of gender, age, plasticity, maturity, and la dolce vita effects

    Herbert W. Marsh;Benjamin Nagengast;Alexandre J. S. Morin

  • Who took the "x" out of expectancy-value theory? A psychological mystery, a substantive-methodological synergy, and a cross-national generalization.

    Benjamin Nagengast;Herbert Marsh;Herbert Marsh;L Scalas;L Scalas;Man Xu;Man Xu

  • Why item parcels are (Almost) never appropriate : Two wrongs do not make a right-camouflaging misspecification with item parcels in CFA models

    Herbert W. Marsh;Oliver Lüdtke;Benjamin Nagengast;Alexandre J. S. Morin

  • Longitudinal tests of competing factor structures for the Rosenberg Self-Esteem Scale: traits, ephemeral artifacts, and stable response styles.

    Herbert W. Marsh;L. Francesca Scalas;Benjamin Nagengast

  • More value through greater differentiation: Gender differences in value beliefs about math.

    Hanna Gaspard;Anna-Lena Dicke;Barbara Flunger;Brigitte Schreier

  • Fostering Adolescents' Value Beliefs for Mathematics with a Relevance Intervention in the Classroom.

    Hanna Gaspard;Anna-Lena Dicke;Barbara Flunger;Brigitte Maria Brisson

  • Big fish in little ponds aspire more: mediation and cross-cultural generalizability of school-average ability effects on self-concept and career aspirations in science

    Benjamin Nagengast;Herbert W. Marsh

  • Quality of parental homework involvement: Predictors and reciprocal relations with academic functioning in the reading domain.

    Hanna Dumont;Ulrich Trautwein;Gabriel Nagy;Benjamin Nagengast

  • What to do when scalar invariance fails: The extended alignment method for multi-group factor analysis comparison of latent means across many groups.

    Herbert W. Marsh;Jiesi Guo;Philip D. Parker;Benjamin Nagengast

  • Construct Validity of the Multidimensional Structure of Bullying and Victimization: An Application of Exploratory Structural Equation Modeling.

    Herbert W. Marsh;Benjamin Nagengast;Alexandre J. S. Morin;Roberto H. Parada

  • Pygmalion effects in the classroom: Teacher expectancy effects on students' math achievement

    Alena Friedrich;Barbara Flunger;Benjamin Nagengast;Kathrin Jonkmann

  • Doubly Latent Multilevel Analyses of Classroom Climate: An Illustration.

    Alexandre Morin;Herbert Warren Marsh;Benjamin Nagengast;L. Francesca Scalas

  • Evaluative conditioning in social psychology: Facts and speculations.

    Eva Walther;Benjamin Nagengast;Claudia Trasselli

  • Assessing task values in five subjects during secondary school: Measurement structure and mean level differences across grade level, gender, and academic subject.

    Hanna Gaspard;Isabelle Häfner;Cora Parrisius;Ulrich Trautwein

  • Structural equation models of latent interaction and quadratic effects.

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

  • Probing the Unique Contributions of Self-Concept, Task Values, and Their Interactions Using Multiple Value Facets and Multiple Academic Outcomes.

    Jiesi Guo;Benjamin Nagengast;Herbert Warren Marsh;Herbert Warren Marsh;Herbert Warren Marsh;Augustin Kelava

  • Methodological Measurement Fruitfulness of Exploratory Structural Equation Modeling (ESEM): New Approaches to Key Substantive Issues in Motivation and Engagement.

    Herbert W. Marsh;Gregory Arief D. Liem;Andrew J. Martin;Alexandre J. S. Morin

  • Exploratory structural equation modeling.

    Alexandre J. S. Morin;Herbert W. Marsh;Benjamin Nagengast

Frequent Co-Authors

Ulrich Trautwein
Ulrich Trautwein University of Tübingen
Herbert W. Marsh
Herbert W. Marsh Australian Catholic University
Alexandre J. S. Morin
Alexandre J. S. Morin Concordia University
Oliver Lüdtke
Oliver Lüdtke Leibniz Institute for Science and Mathematics Education
Brent W. Roberts
Brent W. Roberts University of Illinois at Urbana-Champaign
Kit-Tai Hau
Kit-Tai Hau Chinese University of Hong Kong
Philip D. Parker
Philip D. Parker Australian Catholic University
Korbinian Moeller
Korbinian Moeller University of Tübingen
Andrew J. Martin
Andrew J. Martin University of New South Wales

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