Dylan Molenaar

3.3k citations
79 papers · 2.2k · h-index 25

Impact in

Papers in

Dylan Molenaar

75 papers receiving 2.1k citations

Peers

Dylan Molenaar
Comparison fields: 5 of 145
  • Experimental and Cognitive Psychology 725
  • Management Science and Operations Research 540
  • Statistics and Probability 337
  • Statistics, Probability and Uncertainty 248
  • General Decision Sciences 62
Replace Jeffrey R. Spies with:
Jeffrey R. Spies United States
Wolf Vanpaemel Belgium
Steven L. Wise United States
Frank Goldhammer Germany
Anne M. Scheel Netherlands
Joel Michell Australia
Susann Fiedler Germany
George Engelhard United States
Jaap van Heerden Netherlands
Rink Hoekstra Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Dylan Molenaar

Since Specialization
Citations

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

Fields of papers citing papers by Dylan Molenaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dylan Molenaar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dylan Molenaar Line = papers co-authored together Dylan Molenaar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006351
2 2011290
3 2010170
4 2011151
5 201088
6 202180
7 201566
8 201457
9 201654
10 201445
11 201645
12 201642
13 200939
14 202238
15 201237
16 201835
17 201733
18 201733
19 201532
20 201632

About Dylan Molenaar

Dylan Molenaar is a scholar working on Experimental and Cognitive Psychology, Management Science and Operations Research, Statistics and Probability, Computer Networks and Communications and Clinical Psychology, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (25 papers), Cognitive Abilities and Testing (21 papers), Mental Health Research Topics (17 papers), Advanced Statistical Modeling Techniques (14 papers), Statistical Methods and Bayesian Inference (13 papers), Optimal Experimental Design Methods (7 papers), Genetic Associations and Epidemiology (6 papers) and Child and Adolescent Psychosocial and Emotional Development (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (725 citations), Management Science and Operations Research (540 citations), Statistics and Probability (337 citations), Statistics, Probability and Uncertainty (248 citations) and General Decision Sciences (62 citations). Dylan Molenaar has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jelte M. Wicherts, Denny Borsboom, Han L. J. van der Maas, Marjan Bakker, Conor V. Dolan, Ed S. Tan, Valentijn Visch, Maria Bolsinova, Paul De Boeck and Francis Tuerlinckx. Their work appears in journals such as British Journal of Mathematical and Statistical Psychology, Intelligence, Behavior Genetics, Multivariate Behavioral Research and Psychometrika.

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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