Julia M. Rohrer

4.6k total citations · 5 hit papers
43 papers, 2.0k citations indexed

About

Julia M. Rohrer is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Julia M. Rohrer has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Experimental and Cognitive Psychology, 13 papers in Social Psychology and 8 papers in Sociology and Political Science. Recurrent topics in Julia M. Rohrer's work include Mental Health Research Topics (10 papers), Psychological Well-being and Life Satisfaction (8 papers) and Advanced Causal Inference Techniques (8 papers). Julia M. Rohrer is often cited by papers focused on Mental Health Research Topics (10 papers), Psychological Well-being and Life Satisfaction (8 papers) and Advanced Causal Inference Techniques (8 papers). Julia M. Rohrer collaborates with scholars based in Germany, United States and United Kingdom. Julia M. Rohrer's co-authors include Stefan C. Schmukle, Ruben C. Arslan, Michael P. Grosz, Felix Thoemmes, Boris Egloff, Kou Murayama, Paul Hünermund, Malte Elson, Andrew K Przybylski and Stuart J. Ritchie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and PLoS ONE.

In The Last Decade

Julia M. Rohrer

40 papers receiving 2.0k citations

Hit Papers

5 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.

Thinking Clearly About Correlations and Causation: Graphical Causal Models for Observational Data

2018 536 citations Julia M. Rohrer Advances in Methods and Practices in Psychological Science profile →
Replicability, Robustness, and Reproducibility in Psychological Science

2021 334 citations Julia M. Rohrer, Felix D. Schönbrodt et al. profile →
The Taboo Against Explicit Causal Inference in Nonexperimental Psychology

2020 177 citations Michael P. Grosz, Julia M. Rohrer et al. Perspectives on Psychological Science profile →
That’s a Lot to Process! Pitfalls of Popular Path Models

2022 137 citations Julia M. Rohrer, Paul Hünermund et al. Advances in Methods and Practices in Psychological Science profile →
These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis

2023 78 citations Julia M. Rohrer, Kou Murayama Advances in Methods and Practices in Psychological Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia M. Rohrer Germany	18	534	506	473	332	235	43	2.0k
Moritz Heene Germany	17	829 1.6×	555 1.1×	683 1.4×	529 1.6×	232 1.0×	44	2.9k
Felix Thoemmes United States	22	459 0.9×	509 1.0×	536 1.1×	500 1.5×	187 0.8×	49	2.5k
Jessica Kay Flake Canada	23	1.1k 2.0×	629 1.2×	835 1.8×	438 1.3×	275 1.2×	36	2.8k
R. Philip Chalmers Canada	15	493 0.9×	230 0.5×	382 0.8×	519 1.6×	160 0.7×	31	2.4k
Patricia É. Brosseau-Liard Canada	13	479 0.9×	447 0.9×	702 1.5×	660 2.0×	201 0.9×	25	2.5k
Anne M. Scheel Netherlands	8	352 0.7×	318 0.6×	349 0.7×	220 0.7×	170 0.7×	11	1.9k
Gregory Camilli United States	26	489 0.9×	577 1.1×	363 0.8×	504 1.5×	152 0.6×	79	4.7k
Marjan Bakker Netherlands	22	465 0.9×	311 0.6×	353 0.7×	290 0.9×	237 1.0×	55	2.9k
Mark L. Davison United States	35	536 1.0×	356 0.7×	597 1.3×	569 1.7×	145 0.6×	144	3.2k
Edward T. Cokely United States	27	341 0.6×	577 1.1×	345 0.7×	122 0.4×	435 1.9×	74	3.2k

Countries citing papers authored by Julia M. Rohrer

Since Specialization

Citations

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

Fields of papers citing papers by Julia M. Rohrer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia M. Rohrer. 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 Julia M. Rohrer. The network helps show where Julia M. Rohrer may publish in the future.

Co-authorship network of co-authors of Julia M. Rohrer

This figure shows the co-authorship network connecting the top 25 collaborators of Julia M. Rohrer. A scholar is included among the top collaborators of Julia M. Rohrer 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 Julia M. Rohrer. Julia M. Rohrer 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:

20 of 20 papers shown

Rohrer, Julia M. & Borysław Paulewicz. (2025). Rethinking measurement invariance causally. Current Research in Ecological and Social Psychology. 9. 100241–100241.

Rohrer, Julia M., et al.. (2024). The Causal Cookbook: Recipes for Propensity Scores, G-Computation, and Doubly Robust Standardization. Advances in Methods and Practices in Psychological Science. 7(1). 10 indexed citations

Krämer, Michael Dominik, Julia M. Rohrer, Richard E. Lucas, & David Richter. (2024). Life events and life satisfaction: Estimating effects of multiple life events in combined models. European Journal of Personality. 39(1). 3–23. 10 indexed citations

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

Arslan, Ruben C., et al.. (2023). Emotional (in)stability: Neuroticism is associated with increased variability in negative emotion after all. Proceedings of the National Academy of Sciences. 120(23). e2212154120–e2212154120. 29 indexed citations

Rohrer, Julia M. & Kou Murayama. (2023). These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis. Advances in Methods and Practices in Psychological Science. 6(1). 78 indexed citations breakdown →

Rohrer, Julia M., et al.. (2023). Using within-person change in three large panel studies to estimate personality age trajectories.. Journal of Personality and Social Psychology. 126(1). 150–174. 10 indexed citations

Deffner, Dominik, Julia M. Rohrer, & Richard McElreath. (2022). A Causal Framework for Cross-Cultural Generalizability. Advances in Methods and Practices in Psychological Science. 5(3). 55 indexed citations

Feld, Jan, et al.. (2022). No Evidence That Siblings’ Gender Affects Personality Across Nine Countries. Psychological Science. 33(9). 1574–1587. 3 indexed citations

10.

Rohrer, Julia M., Paul Hünermund, Ruben C. Arslan, & Malte Elson. (2022). That’s a Lot to Process! Pitfalls of Popular Path Models. Advances in Methods and Practices in Psychological Science. 5(2). 137 indexed citations breakdown →

11.

Rohrer, Julia M. & Ruben C. Arslan. (2021). Precise Answers to Vague Questions: Issues With Interactions. Advances in Methods and Practices in Psychological Science. 4(2). 40 indexed citations

12.

Rohrer, Julia M., Warren Tierney, Eric Luis Uhlmann, et al.. (2021). Putting the Self in Self-Correction: Findings From the Loss-of-Confidence Project. Perspectives on Psychological Science. 16(6). 1255–1269. 25 indexed citations

13.

Weston, Sara J., Stuart J. Ritchie, Julia M. Rohrer, & Andrew K Przybylski. (2019). Recommendations for Increasing the Transparency of Analysis of Preexisting Data Sets. Advances in Methods and Practices in Psychological Science. 2(3). 214–227. 108 indexed citations

14.

Rohrer, Julia M., et al.. (2019). Using the Dirichlet process to form clusters of people’s concerns in the context of future party identification. PLoS ONE. 14(3). e0212944–e0212944. 9 indexed citations

15.

Rohrer, Julia M., Martin Brümmer, Jürgen Schupp, & Gert G. Wagner. (2018). Worries across time and age in the German Socio-Economic Panel study. Journal of Economic Behavior & Organization. 181. 332–343. 8 indexed citations

16.

Rohrer, Julia M.. (2018). Run All the Models! Dealing With Data Analytic Flexibility. APS observer. 31(3). 4 indexed citations

17.

Rohrer, Julia M. & Stefan C. Schmukle. (2018). Individual Importance Weighting of Domain Satisfaction Ratings does Not Increase Validity. Collabra Psychology. 4(1). 22 indexed citations

18.

Rohrer, Julia M., Boris Egloff, Michał Kosiński, David Stillwell, & Stefan C. Schmukle. (2017). In your eyes only? Discrepancies and agreement between self- and other-reports of personality from age 14 to 29.. Journal of Personality and Social Psychology. 115(2). 304–320. 17 indexed citations

19.

Rohrer, Julia M., Martin Brümmer, Stefan C. Schmukle, Jan Goebel, & Gert G. Wagner. (2017). "What else are you worried about?" – Integrating textual responses into quantitative social science research. PLoS ONE. 12(7). e0182156–e0182156. 34 indexed citations

20.

Baumert, Anna, Ruben C. Arslan, Felix D. Schönbrodt, et al.. (2016). Netzwerk der Open-Science-Initiativen (NOSI). OSF Preprints (OSF Preprints).

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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