Jill de Ron

648 total citations
8 papers, 152 citations indexed

About

Jill de Ron is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Jill de Ron has authored 8 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 4 papers in Cognitive Neuroscience and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Jill de Ron's work include Mental Health Research Topics (7 papers), Functional Brain Connectivity Studies (4 papers) and Complex Network Analysis Techniques (3 papers). Jill de Ron is often cited by papers focused on Mental Health Research Topics (7 papers), Functional Brain Connectivity Studies (4 papers) and Complex Network Analysis Techniques (3 papers). Jill de Ron collaborates with scholars based in Netherlands, United States and Italy. Jill de Ron's co-authors include Eiko I. Fried, Sacha Epskamp, Donald J. Robinaugh, Ruth J. van Holst, Felipe A. Jain, Paola Pedrelli, David Mischoulon, Karoline Huth, Maarten Marsman and Anna E. Goudriaan and has published in prestigious journals such as Psychological Review, Child Development and Psychological Medicine.

In The Last Decade

Jill de Ron

7 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jill de Ron Netherlands 5 125 71 36 31 22 8 152
Fengzhan Li China 8 165 1.3× 88 1.2× 57 1.6× 43 1.4× 20 0.9× 28 273
D. Gage Jordan United States 8 195 1.6× 82 1.2× 101 2.8× 16 0.5× 22 1.0× 15 248
Amanda C Collins United States 10 151 1.2× 64 0.9× 80 2.2× 13 0.4× 16 0.7× 29 222
Marieke J. Schreuder Netherlands 10 180 1.4× 49 0.7× 66 1.8× 12 0.4× 33 1.5× 30 245
Brage Kraft Norway 9 135 1.1× 59 0.8× 71 2.0× 19 0.6× 20 0.9× 31 241
Kelly A. Correa United States 8 192 1.5× 103 1.5× 101 2.8× 12 0.4× 37 1.7× 16 260
Enitan T. Marcelle United States 6 59 0.5× 101 1.4× 45 1.3× 7 0.2× 38 1.7× 8 198
Julia Boberg Sweden 10 84 0.7× 65 0.9× 109 3.0× 14 0.5× 25 1.1× 17 236
Julian Chiarella Canada 6 51 0.4× 57 0.8× 81 2.3× 30 1.0× 24 1.1× 7 237

Countries citing papers authored by Jill de Ron

Since Specialization
Citations

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

Fields of papers citing papers by Jill de Ron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill de Ron. 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 Jill de Ron. The network helps show where Jill de Ron may publish in the future.

Co-authorship network of co-authors of Jill de Ron

This figure shows the co-authorship network connecting the top 25 collaborators of Jill de Ron. A scholar is included among the top collaborators of Jill de Ron 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 Jill de Ron. Jill de Ron 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.
Robinaugh, Donald J., et al.. (2025). Network psychometrics and the network approach to posttraumatic stress disorder: A conceptual and methodological overview. Journal of Traumatic Stress. 38(3). 363–375.
2.
Robinaugh, Donald J., Jonas M B Haslbeck, Lourens Waldorp, et al.. (2024). Advancing the network theory of mental disorders: A computational model of panic disorder.. Psychological Review. 131(6). 1482–1508. 4 indexed citations
3.
Bork, Riet van, Jonas M B Haslbeck, Han L. J. van der Maas, et al.. (2024). Productive explanation: A framework for evaluating explanations in psychological science.. Psychological Review. 132(2). 311–329. 12 indexed citations
4.
Hoogeveen, Suzanne, Denny Borsboom, Šimon Kucharský, et al.. (2024). Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach. Royal Society Open Science. 11(9). 240049–240049. 1 indexed citations
5.
Huth, Karoline, Jill de Ron, Anna E. Goudriaan, et al.. (2023). Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP. Advances in Methods and Practices in Psychological Science. 6(4). 25 indexed citations
6.
Ron, Jill de, Marie K. Deserno, Donald J. Robinaugh, Denny Borsboom, & Han L. J. van der Maas. (2023). Towards a general modeling framework of resource competition in cognitive development. Child Development. 94(6). 1432–1453. 1 indexed citations
7.
Ron, Jill de, Donald J. Robinaugh, Eiko I. Fried, et al.. (2022). Quantifying and addressing the impact of measurement error in network models. Behaviour Research and Therapy. 157. 104163–104163. 24 indexed citations
8.
Ron, Jill de, Eiko I. Fried, & Sacha Epskamp. (2019). Psychological networks in clinical populations: investigating the consequences of Berkson's bias. Psychological Medicine. 51(1). 168–176. 85 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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