Don A. Moore

109 papers receiving 7.7k citations

Don A. Moore's Hit Papers

Algorithm appreciation: People prefer algorithmic to human judgment 2019 · 1.0k citations
1.0k0+6+12Years since publication50010001.5k

Peers

Don A. Moore
Comparison fields: 5 of 163
  • General Decision Sciences 1.7k
  • Safety Research 1.9k
  • Applied Psychology 666
  • Accounting 1.4k
  • Information Systems and Management 669
Replace Philip E. Tetlock with:
Philip E. Tetlock United States
Richard P. Larrick United States
Gary Charness United States
Maurice E. Schweitzer United States
Dieter Frey Germany
Hillel J. Einhorn United States
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Jack B. Soll United States
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Dan Lovallo Australia
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Citations per year

Countries citing papers authored by Don A. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Don A. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don A. Moore. 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 Don A. Moore. The network helps show where Don A. Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The trouble with overconfidence.
Hit paper breakdown →
20081642
2
Algorithm appreciation: People prefer algorithmic to human judgment
Hit paper breakdown →
20191037
3 2006473
4 2005452
5
Why good accountants do bad audits.
2002280
6 1999259
7 2004244
8 2006238
9 2007220
10 2014215
11 2006214
12 2003172
13 2010148
14 2017132
15 2006130
16 2013127
17 2013120
18 2010111
19 2007106
20 199991

About Don A. Moore

Don A. Moore is a scholar working on General Decision Sciences, Safety Research, Sociology and Political Science, Cognitive Neuroscience and Management Science and Operations Research, having authored 115 papers that have together received 8.3k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (53 papers), Experimental Behavioral Economics Studies (31 papers), Psychology of Moral and Emotional Judgment (18 papers), Social and Intergroup Psychology (15 papers), Forecasting Techniques and Applications (11 papers), Optimism, Hope, and Well-being (8 papers), Behavioral Health and Interventions (7 papers) and Auditing, Earnings Management, Governance (7 papers). The work is most often cited by research in General Decision Sciences (1.7k citations), Safety Research (1.9k citations), Applied Psychology (666 citations), Accounting (1.4k citations) and Information Systems and Management (669 citations). Don A. Moore has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul J. Healy, George Loewenstein, Jennifer M. Logg, Daylian M. Cain, Max H. Bazerman, Julia A. Minson, Lloyd Tanlu, Francesca Gino, Philip E. Tetlock and Uriel Haran. Their work appears in journals such as Organizational Behavior and Human Decision Processes, Judgment and Decision Making, California Management Review, Collabra Psychology and Journal of Personality and Social Psychology.

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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