Michael P. Grosz

1.1k total citations · 1 hit paper
23 papers, 603 citations indexed

About

Michael P. Grosz is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Sociology and Political Science. According to data from OpenAlex, Michael P. Grosz has authored 23 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Psychology, 11 papers in Experimental and Cognitive Psychology and 9 papers in Sociology and Political Science. Recurrent topics in Michael P. Grosz's work include Personality Traits and Psychology (18 papers), Social and Intergroup Psychology (6 papers) and Evolutionary Psychology and Human Behavior (6 papers). Michael P. Grosz is often cited by papers focused on Personality Traits and Psychology (18 papers), Social and Intergroup Psychology (6 papers) and Evolutionary Psychology and Human Behavior (6 papers). Michael P. Grosz collaborates with scholars based in Germany, Netherlands and United States. Michael P. Grosz's co-authors include Julia M. Rohrer, Felix Thoemmes, Mitja D. Back, Michael Dufner, Jaap J. A. Denissen, John F. Rauthmann, Albrecht C. P. Küfner, Tanja M. Gerlach, Marius Leckelt and Clemens M. Lechner and has published in prestigious journals such as Journal of Personality and Social Psychology, Psychological Bulletin and Perspectives on Psychological Science.

In The Last Decade

Michael P. Grosz

21 papers receiving 591 citations

Hit Papers

The Taboo Against Explici... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael P. Grosz Germany 13 360 247 188 165 46 23 603
Kevin Lanning United States 14 220 0.6× 158 0.6× 107 0.6× 120 0.7× 87 1.9× 34 474
Malte Schott Germany 4 113 0.3× 337 1.4× 136 0.7× 367 2.2× 107 2.3× 6 731
Joanne M. Chung United States 11 221 0.6× 236 1.0× 189 1.0× 148 0.9× 98 2.1× 23 540
Le Xu China 10 149 0.4× 274 1.1× 175 0.9× 105 0.6× 32 0.7× 15 601
Alberto Quílez-Robres Spain 14 221 0.6× 185 0.7× 175 0.9× 203 1.2× 71 1.5× 32 796
Serge Larivée Canada 12 264 0.7× 166 0.7× 142 0.8× 120 0.7× 23 0.5× 114 753
Tarmo Strenze Estonia 4 104 0.3× 141 0.6× 330 1.8× 133 0.8× 20 0.4× 5 683
Jessica Heppen United States 13 94 0.3× 155 0.6× 94 0.5× 190 1.2× 58 1.3× 32 598
Xinchen Fu China 12 128 0.4× 122 0.5× 64 0.3× 157 1.0× 30 0.7× 18 421
Colin Vize United States 18 1.1k 2.9× 394 1.6× 354 1.9× 307 1.9× 76 1.7× 39 1.3k

Countries citing papers authored by Michael P. Grosz

Since Specialization
Citations

This map shows the geographic impact of Michael P. Grosz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael P. Grosz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Grosz more than expected).

Fields of papers citing papers by Michael P. Grosz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Grosz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael P. Grosz. The network helps show where Michael P. Grosz may publish in the future.

Co-authorship network of co-authors of Michael P. Grosz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Grosz. A scholar is included among the top collaborators of Michael P. Grosz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael P. Grosz. Michael P. Grosz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rau, Richard, et al.. (2025). People “fake-good” on personality self-reports more strongly in a job context than in a dating context. Journal of Research in Personality. 116. 104596–104596.
2.
Grosz, Michael P., Ruben C. Arslan, Susanne Buecker, et al.. (2024). Natural Experiments: Missed Opportunities for Causal Inference in Psychology. Advances in Methods and Practices in Psychological Science. 7(1). 15 indexed citations
3.
Grosz, Michael P., et al.. (2024). When and why do individuals high in narcissistic rivalry attain social status?. European Journal of Personality. 39(3). 392–407.
4.
Grosz, Michael P., Robbie C. M. van Aert, & Mitja D. Back. (2024). A meta-analytic review of the associations of personality, intelligence, and physical size with social status.. Psychological Bulletin. 150(3). 253–283. 5 indexed citations
5.
Grosz, Michael P.. (2023). Should researchers make causal inferences and recommendations for practice on the basis of nonexperimental studies?. Educational Psychology Review. 35(2). 10 indexed citations
6.
Grosz, Michael P., Robbie C. M. van Aert, & Mitja D. Back. (2023). A Meta-Analytic Review of the Associations of Personality, Intelligence, and Physical Size with Social Status. PsyArXiv (OSF Preprints). 1 indexed citations
7.
Grosz, Michael P.. (2023). The factor structure of Big Five personality trait measures at the between- and within-person levels. European Journal of Personality. 38(4). 724–740. 4 indexed citations
8.
Ziegler, Matthias, et al.. (2021). The Nomological Network of the Short Dark Tetrad Scale (SD4). European Journal of Psychological Assessment. 38(3). 187–197. 44 indexed citations
10.
11.
Grosz, Michael P., Shalom H. Schwartz, & Clemens M. Lechner. (2021). The longitudinal interplay between personal values and subjective well-being: A registered report. European Journal of Personality. 35(6). 881–897. 25 indexed citations
12.
Leckelt, Marius, et al.. (2021). Pathways From Narcissism to Leadership Emergence in Social Groups. European Journal of Personality. 37(1). 72–94. 14 indexed citations
13.
Grosz, Michael P., Julia M. Rohrer, & Felix Thoemmes. (2020). The Taboo Against Explicit Causal Inference in Nonexperimental Psychology. Perspectives on Psychological Science. 15(5). 1243–1255. 177 indexed citations breakdown →
14.
Grosz, Michael P., et al.. (2020). Reducing the Overlap Between Machiavellianism and Subclinical Psychopathy: The M7 and P7 Scales. Collabra Psychology. 6(1). 20 indexed citations
15.
Grosz, Michael P., Julia M. Lemp, Beatrice Rammstedt, & Clemens M. Lechner. (2020). Personality Change Through Arts Education: A Review and Call for Further Research. PsyArXiv (OSF Preprints). 2 indexed citations
16.
Grosz, Michael P., Marius Leckelt, & Mitja D. Back. (2019). Personality predictors of social status attainment. Current Opinion in Psychology. 33. 52–56. 28 indexed citations
17.
Grosz, Michael P., Richard Göllner, Norman Rose, et al.. (2017). The development of narcissistic admiration and machiavellianism in early adulthood.. Journal of Personality and Social Psychology. 116(3). 467–482. 30 indexed citations
18.
Grosz, Michael P., Wilco H. M. Emons, Eunike Wetzel, et al.. (2017). A Comparison of Unidimensionality and Measurement Precision of the Narcissistic Personality Inventory and the Narcissistic Admiration and Rivalry Questionnaire. Assessment. 26(2). 281–293. 18 indexed citations
19.
Grosz, Michael P., et al.. (2017). The narcissism-overclaiming link revisited. Journal of Research in Personality. 70. 134–138. 22 indexed citations
20.
Gerlach, Tanja M., Michael Dufner, John F. Rauthmann, et al.. (2016). Narcissism and romantic relationships: The differential impact of narcissistic admiration and rivalry.. Journal of Personality and Social Psychology. 112(2). 280–306. 136 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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