Florian Pargent

677 total citations
19 papers, 299 citations indexed

About

Florian Pargent is a scholar working on Management Science and Operations Research, Experimental and Cognitive Psychology and Applied Psychology. According to data from OpenAlex, Florian Pargent has authored 19 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Science and Operations Research, 5 papers in Experimental and Cognitive Psychology and 5 papers in Applied Psychology. Recurrent topics in Florian Pargent's work include Behavioral Health and Interventions (5 papers), Mental Health Research Topics (5 papers) and Psychometric Methodologies and Testing (4 papers). Florian Pargent is often cited by papers focused on Behavioral Health and Interventions (5 papers), Mental Health Research Topics (5 papers) and Psychometric Methodologies and Testing (4 papers). Florian Pargent collaborates with scholars based in Germany, Netherlands and Switzerland. Florian Pargent's co-authors include Clemens Stachl, Ramona Schoedel, Markus Bühner, Florian Pfisterer, Janek Thomas, Bernd Bischl, Sven Hilbert, Sumer S. Vaid, Samuel D. Gosling and Gabriella M. Harari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Florian Pargent

18 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Pargent Germany 9 71 65 57 39 33 19 299
Younyoung Choi South Korea 11 77 1.1× 72 1.1× 65 1.1× 44 1.1× 70 2.1× 40 394
Yan Cai China 11 75 1.1× 75 1.2× 63 1.1× 20 0.5× 49 1.5× 60 368
Dongbo Tu China 10 69 1.0× 98 1.5× 63 1.1× 22 0.6× 48 1.5× 70 357
Ailbhe N. Finnerty United Kingdom 9 60 0.8× 39 0.6× 32 0.6× 68 1.7× 42 1.3× 17 371
Henrique Damasceno Vianna Brazil 10 42 0.6× 30 0.5× 24 0.4× 66 1.7× 29 0.9× 20 331
Brandon M. Booth United States 12 161 2.3× 92 1.4× 33 0.6× 54 1.4× 38 1.2× 34 425
Lisa Doove Netherlands 6 30 0.4× 53 0.8× 48 0.8× 20 0.5× 16 0.5× 9 328
Samantha Winter United States 8 29 0.4× 183 2.8× 89 1.6× 40 1.0× 38 1.2× 9 466
Zheng Luo China 11 71 1.0× 40 0.6× 45 0.8× 12 0.3× 60 1.8× 45 311
Ulf K. Mertens Germany 7 74 1.0× 65 1.0× 21 0.4× 31 0.8× 40 1.2× 10 309

Countries citing papers authored by Florian Pargent

Since Specialization
Citations

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

Fields of papers citing papers by Florian Pargent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian Pargent. 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 Florian Pargent. The network helps show where Florian Pargent may publish in the future.

Co-authorship network of co-authors of Florian Pargent

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

All Works

19 of 19 papers shown
1.
Pargent, Florian, et al.. (2024). A Tutorial on Tailored Simulation-Based Sample-Size Planning for Experimental Designs With Generalized Linear Mixed Models. Advances in Methods and Practices in Psychological Science. 7(4).
2.
Sterner, Philipp, Florian Pargent, Dominik Deffner, & David Goretzko. (2024). A Causal Framework for the Comparability of Latent Variables. Structural Equation Modeling A Multidisciplinary Journal. 31(5). 747–758. 6 indexed citations
3.
Sterner, Philipp, et al.. (2024). Das Konfidenz- / Signifikanzniveau impliziert ein bestimmtes Kostenverhältnis zwischen Fehler 1. Art und Fehler 2. Art. Diagnostica. 70(3). 126–138. 1 indexed citations
4.
Pargent, Florian, David Goretzko, & Timo von Oertzen. (2023). Florian Pargent, David Goretzko and Timo von Oertzen's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng. Journal of the Royal Statistical Society Series B (Statistical Methodology). 85(4). 1087–1088. 1 indexed citations
5.
Sterner, Philipp, David Goretzko, & Florian Pargent. (2023). Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.. Psychological Methods. 30(1). 112–127. 8 indexed citations
6.
Pargent, Florian, Ramona Schoedel, & Clemens Stachl. (2023). Best Practices in Supervised Machine Learning: A Tutorial for Psychologists. Advances in Methods and Practices in Psychological Science. 6(3). 39 indexed citations
7.
Schönbrodt, Felix D., et al.. (2023). Machine Learning and Risk Assessment: Random Forest Does Not Outperform Logistic Regression in the Prediction of Sexual Recidivism. Assessment. 31(2). 460–481. 6 indexed citations
8.
Pargent, Florian, Florian Pfisterer, Janek Thomas, & Bernd Bischl. (2022). Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. Computational Statistics. 37(5). 2671–2692. 63 indexed citations
10.
Zihl, Josef, Robert W. Kentridge, Florian Pargent, & C.A. Heywood. (2021). Aging and the rehabilitation of homonymous hemianopia: The efficacy of compensatory eye-movement training techniques and a five-year follow up. SHILAP Revista de lepidopterología. 1. 100012–100012. 8 indexed citations
11.
Stachl, Clemens, Florian Pargent, Sven Hilbert, et al.. (2020). Personality Research and Assessment in the Era of Machine Learning. European Journal of Personality. 34(5). 613–631. 79 indexed citations
12.
Hilbert, Sven, et al.. (2020). What’s the measure? An empirical investigation of self-ratings on response scales. International Journal of Social Research Methodology. 25(1). 59–78. 1 indexed citations
13.
Schoedel, Ramona, Florian Pargent, Quay Au, et al.. (2020). To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns. European Journal of Personality. 34(5). 733–752. 30 indexed citations
14.
Pargent, Florian. (2019). A Benchmark Experiment on How to Encode Categorical Features in Predictive Modeling. OSF Preprints (OSF Preprints). 6 indexed citations
15.
Goretzko, David, et al.. (2019). Not Very Powerful. European Journal of Psychological Assessment. 36(4). 563–572. 2 indexed citations
16.
Pargent, Florian, et al.. (2018). Predictive Modeling With Psychological Panel Data. Zeitschrift für Psychologie. 226(4). 246–258. 9 indexed citations
17.
Pargent, Florian, et al.. (2018). Can’t Make it Better nor Worse. European Journal of Psychological Assessment. 35(6). 891–899. 5 indexed citations
18.
Pargent, Florian, Clemens Stachl, & Ramona Schoedel. (2018). An Introduction to Machine Learning in R (Workshop). OSF Preprints (OSF Preprints). 10 indexed citations
19.
Zihl, Josef, et al.. (2014). Cognitive Reserve in Young and Old Healthy Subjects: Differences and Similarities in a Testing-the-Limits Paradigm with DSST. PLoS ONE. 9(1). e84590–e84590. 21 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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