Anna Wysocki
Impact in
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- Mental Health Research Topics
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
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- Complex Network Analysis Techniques 7
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- Mental Health Research Topics 7
- Co-authors
- Mijke Rhemtulla (8 shared papers)Riet van Bork (5 shared papers)Denny Borsboom (3 shared papers)Marie K. Deserno (3 shared papers)Jonas Dalege (3 shared papers)Giulio Costantini (2 shared papers)Adela‐Maria Isvoranu (3 shared papers)Sacha Epskamp (3 shared papers)
- Journals
- Nature Reviews Methods Primers (3 papers)Multivariate Behavioral Research (2 papers)Advances in Methods and Practices in Psychological Science (1 paper)UvA-DARE (University of Amsterdam) (1 paper)PsyArXiv (OSF Preprints) (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Anna Wysocki
8 papers receiving 974 citations
Anna Wysocki's Hit Papers
Peers
Comparison fields: 5 of 107
- Experimental and Cognitive Psychology 735
- Biological Psychiatry 92
- Applied Psychology 105
- Cognitive Neuroscience 340
- Clinical Psychology 235
Countries citing papers authored by Anna Wysocki
This map shows the geographic impact of Anna Wysocki'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 Anna Wysocki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Wysocki more than expected).
Fields of papers citing papers by Anna Wysocki
This network shows the impact of papers produced by Anna Wysocki. 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 Anna Wysocki. The network helps show where Anna Wysocki may publish in the future.
Co-authors
The 18 scholars most cited alongside Anna Wysocki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Network analysis of multivariate data in psychological science Hit paper breakdown → | 2021 | 624 |
| 2 | Statistical Control Requires Causal Justification Hit paper breakdown → | 2022 | 112 |
| 3 | 2019 | 103 | |
| 4 | Cross-Lagged Network Models Hit paper breakdown → | 2022 | 96 |
| 5 | 2019 | 32 | |
| 6 | 2022 | 5 | |
| 7 | 2025 | 5 | |
| 8 | 2022 | 3 |
About Anna Wysocki
Anna Wysocki is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology, Cognitive Neuroscience, Health and Sociology and Political Science, having authored 8 papers that have together received 980 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Mental Health Research Topics (7 papers), Functional Brain Connectivity Studies (5 papers), Health disparities and outcomes (2 papers), Advanced Causal Inference Techniques (1 paper), Statistical Methods and Inference (1 paper) and Qualitative Comparative Analysis Research (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (735 citations), Biological Psychiatry (92 citations), Applied Psychology (105 citations), Cognitive Neuroscience (340 citations) and Clinical Psychology (235 citations). Anna Wysocki has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Mijke Rhemtulla, Riet van Bork, Denny Borsboom, Marie K. Deserno, Jonas Dalege, Giulio Costantini, Adela‐Maria Isvoranu, Sacha Epskamp, Richard J. McNally and Donald J. Robinaugh. Their work appears in journals such as Nature Reviews Methods Primers, Multivariate Behavioral Research, Advances in Methods and Practices in Psychological Science, UvA-DARE (University of Amsterdam) and PsyArXiv (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.