Anna Wysocki

1.9k total citations · 3 hit papers
8 papers, 980 citations indexed

About

Anna Wysocki is a scholar working on Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Cognitive Neuroscience. According to data from OpenAlex, Anna Wysocki has authored 8 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistical and Nonlinear Physics, 7 papers in Experimental and Cognitive Psychology and 5 papers in Cognitive Neuroscience. Recurrent topics in Anna Wysocki's work include Complex Network Analysis Techniques (7 papers), Mental Health Research Topics (7 papers) and Functional Brain Connectivity Studies (5 papers). Anna Wysocki is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Mental Health Research Topics (7 papers) and Functional Brain Connectivity Studies (5 papers). Anna Wysocki collaborates with scholars based in United States, Netherlands and Italy. Anna Wysocki's co-authors include Mijke Rhemtulla, Riet van Bork, Marie K. Deserno, Claudia D. van Borkulo, Eiko I. Fried, Denny Borsboom, Adela‐Maria Isvoranu, Sacha Epskamp, Richard J. McNally and Lourens Waldorp and has published in prestigious journals such as Multivariate Behavioral Research, Nature Reviews Methods Primers and Advances in Methods and Practices in Psychological Science.

In The Last Decade

Anna Wysocki

8 papers receiving 974 citations

Hit Papers

Network analysis of multivariate data in psychological sc... 2021 2026 2022 2024 2021 2022 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Wysocki United States 6 735 340 235 171 119 8 980
Jolanda J. Kossakowski Netherlands 6 699 1.0× 324 1.0× 228 1.0× 116 0.7× 59 0.5× 8 816
Oisín Ryan Netherlands 13 460 0.6× 212 0.6× 196 0.8× 303 1.8× 103 0.9× 20 1.1k
Pia Tio Netherlands 4 1.1k 1.5× 555 1.6× 353 1.5× 137 0.8× 72 0.6× 5 1.2k
David Schoch Germany 7 656 0.9× 327 1.0× 210 0.9× 91 0.5× 253 2.1× 24 1.1k
Jonas M B Haslbeck Netherlands 16 1.3k 1.8× 578 1.7× 392 1.7× 192 1.1× 111 0.9× 54 1.7k
Arjen Noordhof Netherlands 14 429 0.6× 167 0.5× 480 2.0× 204 1.2× 124 1.0× 26 839
Merijn Mestdagh Belgium 13 788 1.1× 275 0.8× 281 1.2× 187 1.1× 34 0.3× 26 1.0k
Marie K. Deserno Netherlands 16 1.3k 1.8× 863 2.5× 569 2.4× 214 1.3× 98 0.8× 26 1.9k
Egon Dejonckheere Belgium 18 805 1.1× 187 0.6× 359 1.5× 263 1.5× 69 0.6× 36 1.1k
Riet van Bork Netherlands 13 1.6k 2.1× 713 2.1× 535 2.3× 309 1.8× 177 1.5× 24 2.0k

Countries citing papers authored by Anna Wysocki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anna Wysocki

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

All Works

8 of 8 papers shown
1.
Wysocki, Anna, et al.. (2025). Cross-lagged panel networks. UvA-DARE (University of Amsterdam). 2(1). e739621–e739621. 5 indexed citations
2.
Wysocki, Anna, Riet van Bork, Angélique O. J. Cramer, & Mijke Rhemtulla. (2022). Cross-Lagged Network Models. PsyArXiv (OSF Preprints). 96 indexed citations breakdown →
3.
Wysocki, Anna, Katherine M. Lawson, & Mijke Rhemtulla. (2022). Statistical Control Requires Causal Justification. Advances in Methods and Practices in Psychological Science. 5(2). 112 indexed citations breakdown →
4.
Borsboom, Denny, Marie K. Deserno, Mijke Rhemtulla, et al.. (2022). Reply to ‘Critiques of network analysis of multivariate data in psychological science’. Nature Reviews Methods Primers. 2(1). 5 indexed citations
5.
Borsboom, Denny, Marie K. Deserno, Mijke Rhemtulla, et al.. (2022). Author Correction: Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers. 2(1). 3 indexed citations
6.
Borsboom, Denny, Marie K. Deserno, Mijke Rhemtulla, et al.. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers. 1(1). 624 indexed citations breakdown →
7.
Williams, Donald R., Mijke Rhemtulla, Anna Wysocki, & Philippe Rast. (2019). On Nonregularized Estimation of Psychological Networks. Multivariate Behavioral Research. 54(5). 719–750. 103 indexed citations
8.
Wysocki, Anna & Mijke Rhemtulla. (2019). On Penalty Parameter Selection for Estimating Network Models. Multivariate Behavioral Research. 56(2). 288–302. 32 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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