David Kellen

2.6k citations
68 papers · 1.1k · h-index 20

Impact in

Papers in

David Kellen

64 papers receiving 1.1k citations

Peers

David Kellen
Comparison fields: 5 of 98
  • General Decision Sciences 294
  • Cognitive Neuroscience 625
  • Experimental and Cognitive Psychology 166
  • Social Psychology 236
  • Applied Psychology 49
Replace Clintin P. Davis‐Stober with:
Clintin P. Davis‐Stober United States
Björn Meder Germany
Tobias Gerstenberg United States
Dries Trippas United Kingdom
Ruma Falk Israel
York Hagmayer Germany
Karsten Olsen United Kingdom
Michèle B. Nuijten Netherlands
Linda M. Moxey United Kingdom
K. I. Manktelow United Kingdom
David Kellen relative to Clintin P. Davis‐Stober United States Clintin P. Davis‐Stober's profile →
Citations per field
00.5×3.0×
Clintin P. Davis‐Stober · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 201375
3 201872
4 201052
5 201345
6 201640
7 201838
8 201338
9 201837
10 201534
11 201432
12 202131
13 201430
14 202129
15 201828
16 201125
17 201223
18 201923
19 201122
20 201920

About David Kellen

David Kellen is a scholar working on Cognitive Neuroscience, Artificial Intelligence, General Decision Sciences, Social Psychology and Experimental and Cognitive Psychology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Memory Processes and Influences (19 papers), Decision-Making and Behavioral Economics (17 papers), Deception detection and forensic psychology (11 papers), Bayesian Modeling and Causal Inference (11 papers), Mental Health Research Topics (8 papers), Neural and Behavioral Psychology Studies (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Philosophy and History of Science (5 papers). The work is most often cited by research in General Decision Sciences (294 citations), Cognitive Neuroscience (625 citations), Experimental and Cognitive Psychology (166 citations), Social Psychology (236 citations) and Applied Psychology (49 citations). David Kellen has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Karl Christoph Klauer, Henrik Singmann, Mikhail S. Spektor, Arndt Bröder, Thorsten Pachur, John C. Dunn, Clintin P. Davis‐Stober, Richard M. Shiffrin, Danielle Navarro and Ralph Hertwig. Their work appears in journals such as Psychonomic Bulletin & Review, Journal of Mathematical Psychology, Psychological Review, Journal of Experimental Psychology Learning Memory and Cognition and Computational Brain & Behavior.

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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