Julia M. Rohrer
- Experimental and Cognitive Psychology top 2%
- Sociology and Political Science top 5%
- Social Psychology top 2%
- Clinical Psychology top 5%
- Applied Psychology top 2%
- Co-authors
- Stefan C. SchmukleRuben C. ArslanMichael P. GroszFelix ThoemmesBoris EgloffKou MurayamaPaul HünermundMalte Elson
- Topics
- Mental Health Research Topics (10 papers)Psychological Well-being and Life Satisfaction (8 papers)Advanced Causal Inference Techniques (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Personality and Social PsychologyPLoS ONE
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Julia M. Rohrer
40 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Experimental and Cognitive Psychology 534
- Sociology and Political Science 506
- Social Psychology 473
- Clinical Psychology 332
- Applied Psychology 235
Countries citing papers authored by Julia M. Rohrer
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 10 | |
| 4 | 15 | |
| 5 | 29 | |
| 6 | These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysisbreakdown → | 78 |
| 7 | 10 | |
| 8 | 55 | |
| 9 | 3 | |
| 10 | That’s a Lot to Process! Pitfalls of Popular Path Modelsbreakdown → | 137 |
| 11 | 40 | |
| 12 | 25 | |
| 13 | 108 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | Run All the Models! Dealing With Data Analytic Flexibility | 4 |
| 17 | 22 | |
| 18 | 17 | |
| 19 | 34 | |
| 20 | 0 |
About Julia M. Rohrer
Julia M. Rohrer is a scholar working on Applied Psychology, Experimental and Cognitive Psychology and Statistics and Probability, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mental Health Research Topics (10 papers), Psychological Well-being and Life Satisfaction (8 papers) and Advanced Causal Inference Techniques (8 papers). The work is most often cited by research in Applied Psychology (235 citations), Experimental and Cognitive Psychology (534 citations) and Social Psychology (473 citations). Julia M. Rohrer has collaborated with scholars based in Germany, United States and United Kingdom. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and PLoS ONE.
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.