Greg Barron

4.0k citations
19 papers · 2.6k indexed · 2 hit papers · h-index 14

Greg Barron

18 papers receiving 2.5k citations

Hit Papers

Decisions from Experience and the Effect of Rare Events i...1.1k20032026201020182505007501000

Peers

Greg Barron
Comparison fields: 5 of 121
  • General Decision Sciences 1.4k
  • Applied Psychology 357
  • Safety Research 477
  • Management Science and Operations Research 466
  • Cognitive Neuroscience 480
Replace Anton Kühberger with:
Anton Kühberger Austria
George Wu United States
Jack B. Soll United States
Thorsten Pachur Germany
Andreas Ortmann Australia
Gideon Keren Netherlands
Maya Bar‐Hillel Israel
Eyal Ert Israel
Thomas S. Wallsten United States
Peter Ayton United Kingdom
Greg Barron relative to Anton Kühberger Austria Anton Kühberger's profile →
Citations per field
00.5×1.5×1.9×
Anton Kühberger · 1×
Citations per year

Countries citing papers authored by Greg Barron

Since Specialization
Citations

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

Fields of papers citing papers by Greg Barron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Greg Barron, 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 Greg Barron Line = papers co-authored together Greg Barron links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201312
2 20109
3 200949
4 200956
5
Testing a Purportedly More Learnable Auction Mechanism
20080
6 200845
7 200728
8 200624
9 2005325
10 2005119
11 20046
12
Decisions from Experience and the Effect of Rare Events in Risky Choicebreakdown →
20041148
13
Small feedback‐based decisions and their limited correspondence to description‐based decisionsbreakdown →
2003521
14 200329
15 200311
16 200285
17 200231
18 2002102
19 200217

About Greg Barron

Greg Barron is a scholar working on General Decision Sciences, Management Science and Operations Research and Applied Psychology, having authored 19 papers that have together received 2.6k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (11 papers), Experimental Behavioral Economics Studies (4 papers), Behavioral Health and Interventions (3 papers), Auction Theory and Applications (3 papers), Forecasting Techniques and Applications (3 papers), Bayesian Modeling and Causal Inference (2 papers), Game Theory and Applications (2 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in General Decision Sciences (1.4k citations), Applied Psychology (357 citations) and Safety Research (477 citations). Greg Barron has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Ido Erev, Ralph Hertwig, Elke U. Weber, Eldad Yechiam, Stephen Leider, Anat Rafaeli, Alvin E. Roth, Robert Slonim, Miriam Erez and Glen M. Doniger. Their work appears in journals such as Judgment and Decision Making, Journal of Behavioral Decision Making, Psychological Science, Journal of Conflict Resolution and Psychological Review.

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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