Andrew Caplin

9.9k citations
99 papers · 5.2k · 1 hit paper · h-index 39

Impact in

Papers in

Andrew Caplin

93 papers receiving 4.8k citations

Andrew Caplin's Hit Papers

Psychological Expected Utility Theory and Anticipatory Feelings 2001 · 520 citations
5200+8+16Years since publication100200300400500

Peers

Andrew Caplin
Comparison fields: 5 of 141
  • General Decision Sciences 1.1k
  • Economics and Econometrics 3.1k
  • General Economics, Econometrics and Finance 783
  • Safety Research 704
  • Marketing 719
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Caplin

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Caplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Psychological Expected Utility Theory and Anticipatory Feelings
Hit paper breakdown →
2001520
2 1991429
3 1987383
4 2015275
5 2011216
6 1991196
7 2007194
8 1991169
9 2010159
10
Business as Usual, Market Crashes, and Wisdom after the Fact
1992141
11 1985139
12 1988133
13 2019108
14 201897
15 200488
16 199786
17 201984
18 199779
19 201176
20
The Foundations of Positive and Normative Economics: A Handbook
200875

About Andrew Caplin

Andrew Caplin is a scholar working on Economics and Econometrics, General Decision Sciences, Accounting, Management Science and Operations Research and Finance, having authored 99 papers that have together received 5.2k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (24 papers), Economic theories and models (23 papers), Financial Literacy, Pension, Retirement Analysis (15 papers), Housing Market and Economics (14 papers), Experimental Behavioral Economics Studies (9 papers), Economic and Environmental Valuation (9 papers), Game Theory and Applications (8 papers) and Neural and Behavioral Psychology Studies (8 papers). The work is most often cited by research in General Decision Sciences (1.1k citations), Economics and Econometrics (3.1k citations), General Economics, Econometrics and Finance (783 citations), Safety Research (704 citations) and Marketing (719 citations). Andrew Caplin has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include John Leahy, Barry Nalebuff, Mark Dean, Daniel F. Spulber, Daniel Martin, John Ameriks, Paul W. Glimcher, Joseph Tracy, Robb B. Rutledge and Tom R. Tyler. Their work appears in journals such as Econometrica, American Economic Review, The Quarterly Journal of Economics, Journal of Political Economy and Journal of Economic Theory.

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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