Martina Bader

833 total citations · 1 hit paper
16 papers, 456 citations indexed

About

Martina Bader is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Applied Psychology. According to data from OpenAlex, Martina Bader has authored 16 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Psychology, 6 papers in Experimental and Cognitive Psychology and 5 papers in Applied Psychology. Recurrent topics in Martina Bader's work include Personality Traits and Psychology (7 papers), Mental Health Research Topics (5 papers) and Behavioral Health and Interventions (4 papers). Martina Bader is often cited by papers focused on Personality Traits and Psychology (7 papers), Mental Health Research Topics (5 papers) and Behavioral Health and Interventions (4 papers). Martina Bader collaborates with scholars based in Germany, Denmark and Czechia. Martina Bader's co-authors include Morten Moshagen, Ingo Zettler, Benjamin E. Hilbig, Oliver Wilhelm, Johanna Hartung, Simon Columbus, Lau Lilleholt, Christoph Schild, Axel Mayer and Yannik Terhorst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Journal of Personality.

In The Last Decade

Martina Bader

15 papers receiving 446 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

semPower: General power analysis for structural equation models

2023 102 citations Morten Moshagen, Martina Bader Behavior Research Methods profile →

Peers

Martina Bader

SPS

ECP

Yilin Andre Wang United States

Erica Baranski United States

Zuo‐Jun Wang China

Loreta Cannito Italy

Chelsey L. Holden United States

Cristina Anguiano‐Carrasco Spain

C. Dominik Güss United States

Jeffrey M. Cucina United States

Olga V. Mitina Russia

Yilin Andre Wang United States

Martina Bader

97 ×0.4

125 ×1.0

SPS

139 ×1.3

66 ×0.6

ECP

53 ×1.4

Citations per year, relative to Martina Bader Martina Bader (= 1×) peers Yilin Andre Wang

Countries citing papers authored by Martina Bader

Since Specialization

Citations

This map shows the geographic impact of Martina Bader'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 Martina Bader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Bader more than expected).

Fields of papers citing papers by Martina Bader

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martina Bader. 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 Martina Bader. The network helps show where Martina Bader may publish in the future.

Co-authorship network of co-authors of Martina Bader

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Bader. A scholar is included among the top collaborators of Martina Bader 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 Martina Bader. Martina Bader is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Zettler, Ingo, Lau Lilleholt, Martina Bader, Benjamin E. Hilbig, & Morten Moshagen. (2025). Aversive societal conditions explain differences in “dark” personality across countries and US states. Proceedings of the National Academy of Sciences. 122(20). e2500830122–e2500830122. 1 indexed citations

Bader, Martina, Simon Columbus, Ingo Zettler, & Axel Mayer. (2024). Developing, evaluating, and interpreting personality state measures: A framework based on the revised latent state-trait theory. European Journal of Personality. 39(3). 408–427. 2 indexed citations

Bader, Martina, Lau Lilleholt, Christoph Schild, et al.. (2024). Basic personality and actual criminal convictions.. Journal of Personality and Social Psychology. 128(4). 949–966. 3 indexed citations

Moshagen, Morten & Martina Bader. (2023). semPower: General power analysis for structural equation models. Behavior Research Methods. 56(4). 2901–2922. 102 indexed citations breakdown →

Moshagen, Morten, Martina Bader, Ingo Zettler, & Benjamin E. Hilbig. (2023). The role of impulse and interference control in aversive personality: A comprehensive assessment. Acta Psychologica. 239. 104018–104018. 3 indexed citations

Scholz, David, Martina Bader, Cornelia Betsch, et al.. (2023). The moderating role of trust in pandemic-relevant institutions on the relation between pandemic fatigue and vaccination intentions. Journal of Health Psychology. 29(4). 358–364.

Terhorst, Yannik, Paula Philippi, Reinhold Kilian, et al.. (2022). Effectiveness and cost-effectiveness of a web-based routine assessment with integrated recommendations for action for depression and anxiety (RehaCAT+): protocol for a cluster randomised controlled trial for patients with elevated depressive symptoms in rehabilitation facilities. BMJ Open. 12(6). e061259–e061259. 3 indexed citations

Bader, Martina & Morten Moshagen. (2022). No probifactor model fit index bias, but a propensity toward selecting the best model.. Journal of Psychopathology and Clinical Science. 131(6). 689–695. 8 indexed citations

Bader, Martina & Morten Moshagen. (2022). Assessing the fitting propensity of factor models.. Psychological Methods. 30(2). 254–270. 16 indexed citations

10.

Bader, Martina, et al.. (2022). Sample Size Requirements for Bifactor Models. Structural Equation Modeling A Multidisciplinary Journal. 29(5). 772–783. 28 indexed citations

11.

Bader, Martina, Benjamin E. Hilbig, Ingo Zettler, & Morten Moshagen. (2022). Rethinking aversive personality: Decomposing the Dark Triad traits into their common core and unique flavors. Journal of Personality. 91(5). 1084–1109. 29 indexed citations

12.

Bader, Martina, et al.. (2021). Disentangling the effects of culture and language on measurement noninvariance in cross-cultural research: The culture, comprehension, and translation bias (CCT) procedure.. Psychological Assessment. 33(5). 375–384. 32 indexed citations

13.

Bader, Martina, Johanna Hartung, Benjamin E. Hilbig, et al.. (2021). Themes of the dark core of personality.. Psychological Assessment. 33(6). 511–525. 49 indexed citations

14.

Bader, Martina, et al.. (2021). A tutorial on assessing statistical power and determining sample size for structural equation models.. Psychological Methods. 28(1). 207–221. 107 indexed citations

15.

Bader, Martina, et al.. (2021). Measuring the Dark Core of Personality in German: Psychometric Properties, Measurement Invariance, Predictive Validity, and Self-Other Agreement. Journal of Personality Assessment. 104(5). 660–673. 28 indexed citations

16.

Hartung, Johanna, Martina Bader, Morten Moshagen, & Oliver Wilhelm. (2021). Age and gender differences in socially aversive (“dark”) personality traits. European Journal of Personality. 36(1). 3–23. 45 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.

Explore authors with similar magnitude of impact