David Reiley

2.4k citations
50 papers · 1.4k · h-index 21

Impact in

  • Marketing top 1%
    • Consumer Market Behavior and Pricing
    • Consumer Behavior in Brand Consumption and Identification
    • Decision-Making and Behavioral Economics

Papers in

David Reiley

49 papers receiving 1.3k citations

Peers

David Reiley
Comparison fields: 5 of 83
  • Marketing 768
  • General Decision Sciences 88
  • Management Science and Operations Research 527
  • Safety Research 321
  • Strategy and Management 273
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Citations per field
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Citations per year

Countries citing papers authored by David Reiley

Since Specialization
Citations

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

Fields of papers citing papers by David Reiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014181
2 2005110
3 201290
4 201183
5 201065
6 200663
7 201661
8 200857
9
Here, There, and Everywhere: Correlated Online Behaviors Can Lead to Overestimates of the Effects of Advertising
201154
10 200647
11 200147
12 200746
13 200634
14
The Effects of Seed Money and Refunds on Charitable Giving: Experimental Evidence from a University Capital Campaign
200032
15 200432
16 201029
17 201828
18 201326
19 201325
20 201824

About David Reiley

David Reiley is a scholar working on Marketing, Management Science and Operations Research, Sociology and Political Science, Safety Research and Strategy and Management, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (30 papers), Experimental Behavioral Economics Studies (15 papers), Auction Theory and Applications (15 papers), Game Theory and Applications (12 papers), Digital Platforms and Economics (12 papers), Media Influence and Politics (7 papers), Digital Marketing and Social Media (7 papers) and Decision-Making and Behavioral Economics (4 papers). The work is most often cited by research in Marketing (768 citations), General Decision Sciences (88 citations), Management Science and Operations Research (527 citations), Safety Research (321 citations) and Strategy and Management (273 citations). David Reiley has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Randall A. Lewis, John A. List, Justin M. Rao, Richard Engelbrecht‐Wiggans, Garrett Johnson, Steven D. Levitt, Anya Samek, Charles H. Mullin, Sai-Ming Li and Abdolkarim Sadrieh. Their work appears in journals such as The Journal of Economic Education, Quantitative Marketing and Economics, Economic Inquiry, Marketing Science and International Economic 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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