Daniel W. Heck

71 papers receiving 1.3k citations

Peers

Daniel W. Heck
Comparison fields: 5 of 147
  • General Decision Sciences 111
  • Applied Psychology 107
  • Computer Graphics and Computer-Aided Design 80
  • Cognitive Neuroscience 371
  • Statistics and Probability 135
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Gregory Francis United States
Tom Stafford United Kingdom
Reinoud D. Stoel Netherlands
Adam N. Sanborn United Kingdom
Christopher R. Madan United Kingdom
Thomas D. Wickens United States
Manish Singh United States
Alex O. Holcombe Australia
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Citations per year

Countries citing papers authored by Daniel W. Heck

Since Specialization
Citations

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

Fields of papers citing papers by Daniel W. Heck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel W. Heck. 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 Daniel W. Heck. The network helps show where Daniel W. Heck may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 2017106
3 2018100
4 200383
5 201171
6 200959
7 201759
8 202154
9 201349
10 201646
11 201645
12 201845
13 201836
14 201733
15 201833
16 202332
17 201830
18 201730
19 201929
20 202325

About Daniel W. Heck

Daniel W. Heck is a scholar working on General Decision Sciences, Cognitive Neuroscience, Statistics and Probability, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (17 papers), Mental Health Research Topics (9 papers), Social and Intergroup Psychology (9 papers), Statistical Methods and Bayesian Inference (8 papers), Psychometric Methodologies and Testing (7 papers), Psychology of Moral and Emotional Judgment (6 papers), Bayesian Modeling and Causal Inference (6 papers) and Experimental Behavioral Economics Studies (5 papers). The work is most often cited by research in General Decision Sciences (111 citations), Applied Psychology (107 citations), Computer Graphics and Computer-Aided Design (80 citations), Cognitive Neuroscience (371 citations) and Statistics and Probability (135 citations). Daniel W. Heck has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Benjamin E. Hilbig, Edgar Erdfelder, Morten Moshagen, Isabel Thielmann, Eric‐Jan Wagenmakers, Quentin F. Gronau, Nina R. Arnold, Oliver Deußen, Thomas Schlömer and Denis Arnold. Their work appears in journals such as Journal of Mathematical Psychology, Behavior Research Methods, Psychological Methods, Judgment and Decision Making 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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