Dylan Molenaar

73 papers receiving 1.9k citations

Peers

Dylan Molenaar
Comparison fields: 5 of 148
  • Experimental and Cognitive Psychology 668
  • Management Science and Operations Research 479
  • Statistics and Probability 315
  • General Decision Sciences 64
  • Statistics, Probability and Uncertainty 241
Replace Jeffrey R. Spies with:
Jeffrey R. Spies United States
Wolf Vanpaemel Belgium
Joris Mulder Netherlands
Anne M. Scheel Netherlands
Rink Hoekstra Netherlands
Frank Goldhammer Germany
Susann Fiedler Germany
Joel Michell Australia
Michèle B. Nuijten Netherlands
Tom E Hardwicke United States
Dylan Molenaar relative to Jeffrey R. Spies United States Jeffrey R. Spies's profile →
Citations per field
00.5×3.5×
Jeffrey R. Spies · 1×
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 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006301
2 2011255
3 2011144
4 2010138
5 201085
6 202176
7 201561
8 201454
9 201651
10 201444
11 201642
12 200938
13 202235
14 201532
15 201731
16 201231
17 201731
18 201630
19 201829
20 201428

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 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (24 papers), Cognitive Abilities and Testing (20 papers), Mental Health Research Topics (16 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 (668 citations), Management Science and Operations Research (479 citations), Statistics and Probability (315 citations), General Decision Sciences (64 citations) and Statistics, Probability and Uncertainty (241 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, Maria Bolsinova, Francis Tuerlinckx, Paul De Boeck, Valentijn Visch and Ed S. Tan. Their work appears in journals such as British Journal of Mathematical and Statistical Psychology, Intelligence, Behavior Genetics, Psychometrika and Multivariate Behavioral Research.

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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