David Kellen

69 papers receiving 1.5k citations

David Kellen's Hit Papers

An Introduction to Mixed Models for Experimental Psychology 2019 · 272 citations
2720+2+4Years since publication50100150200250

Peers

David Kellen
Comparison fields: 5 of 91
  • General Decision Sciences 341
  • Cognitive Neuroscience 755
  • General Psychology 46
  • Experimental and Cognitive Psychology 208
  • Statistics and Probability 133
Replace Michael R. P. Dougherty with:
Michael R. P. Dougherty United States
John C. Dunn Australia
Henrik Singmann Germany
Daniel R. Little Australia
Daniel W. Heck Germany
Andrea E. Martin Netherlands
David M. Riefer United States
Sara Steegen Belgium
Nina Lauharatanahirun United States
Jack J. McDowell United States
David Kellen relative to Michael R. P. Dougherty United States Michael R. P. Dougherty's profile →
Citations per field
00.5×2×3.3×
Michael R. P. Dougherty · 1×
Citations per year

Countries citing papers authored by David Kellen

Since Specialization
Citations

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

Fields of papers citing papers by David Kellen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Kellen, 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 David Kellen Line = papers co-authored together David Kellen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Introduction to Mixed Models for Experimental Psychology
Hit paper breakdown →
2019272
2 201997
3 201387
4 201880
5 201058
6 201348
7 201548
8 201847
9 201344
10 201642
11 202141
12 201440
13 201839
14 202133
15 201131
16 201431
17 201228
18 201927
19 201126
20 201826

About David Kellen

David Kellen is a scholar working on General Decision Sciences, Cognitive Neuroscience, Statistics and Probability, Experimental and Cognitive Psychology and Statistics, Probability and Uncertainty, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Memory Processes and Influences (23 papers), Decision-Making and Behavioral Economics (20 papers), Statistical Methods and Bayesian Inference (10 papers), Categorization, perception, and language (8 papers), Logic, Reasoning, and Knowledge (7 papers), Psychometric Methodologies and Testing (6 papers), Meta-analysis and systematic reviews (4 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in General Decision Sciences (341 citations), Cognitive Neuroscience (755 citations), General Psychology (46 citations), Experimental and Cognitive Psychology (208 citations) and Statistics and Probability (133 citations). David Kellen has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Henrik Singmann, Karl Christoph Klauer, Mikhail S. Spektor, Arndt Bröder, Thorsten Pachur, John C. Dunn, Clintin P. Davis‐Stober, Danielle Navarro, Richard M. Shiffrin and Ralph Hertwig. Their work appears in journals such as Psychological Review, Journal of Mathematical Psychology, Psychonomic Bulletin & Review, Computational Brain & Behavior and Journal of Experimental Psychology Learning Memory and Cognition.

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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