David Reiley

2.3k total citations
44 papers, 1.2k citations indexed

About

David Reiley is a scholar working on Marketing, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, David Reiley has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Marketing, 18 papers in Sociology and Political Science and 18 papers in Management Science and Operations Research. Recurrent topics in David Reiley's work include Consumer Market Behavior and Pricing (28 papers), Experimental Behavioral Economics Studies (13 papers) and Auction Theory and Applications (13 papers). David Reiley is often cited by papers focused on Consumer Market Behavior and Pricing (28 papers), Experimental Behavioral Economics Studies (13 papers) and Auction Theory and Applications (13 papers). David Reiley collaborates with scholars based in United States, Germany and Canada. David Reiley's 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, Subhasish Dugar and Haimanti Bhattacharya and has published in prestigious journals such as American Economic Review, Econometrica and The Journal of Economic Perspectives.

In The Last Decade

David Reiley

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Reiley United States 20 662 435 408 279 265 44 1.2k
Sanjog Misra United States 17 980 1.5× 258 0.6× 576 1.4× 64 0.2× 449 1.7× 52 1.7k
Tat Y. Chan United States 16 608 0.9× 200 0.5× 291 0.7× 94 0.3× 290 1.1× 53 1.1k
John Wooders United States 19 437 0.7× 799 1.8× 246 0.6× 449 1.6× 786 3.0× 40 1.6k
Tanjim Hossain Canada 13 346 0.5× 343 0.8× 164 0.4× 468 1.7× 469 1.8× 29 1.2k
Lones Smith United States 20 224 0.3× 1.0k 2.3× 235 0.6× 390 1.4× 1.1k 4.2× 65 2.1k
Jiwoong Shin United States 14 754 1.1× 325 0.7× 280 0.7× 93 0.3× 224 0.8× 38 1.2k
Marco Ottaviani Italy 24 291 0.4× 927 2.1× 304 0.7× 585 2.1× 1.1k 4.2× 63 2.4k
Alessandro Bonatti United States 14 374 0.6× 375 0.9× 210 0.5× 184 0.7× 242 0.9× 39 945
Kay‐Yut Chen United States 19 478 0.7× 410 0.9× 159 0.4× 161 0.6× 198 0.7× 51 1.3k
Kristiaan Helsen United States 18 897 1.4× 424 1.0× 342 0.8× 28 0.1× 516 1.9× 27 1.8k

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-authorship network of co-authors of David Reiley

This figure shows the co-authorship network connecting the top 25 collaborators of David Reiley. A scholar is included among the top collaborators of David Reiley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Reiley. David Reiley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Reiley, David, et al.. (2025). Measuring consumer sensitivity to audio advertising: a long-run field experiment on Pandora internet radio. Quantitative Marketing and Economics. 23(3). 347–377.
2.
Reiley, David, et al.. (2024). Personalizing Ad Load to Optimize Subscription and Ad Revenues: Product Strategies Constructed from Experiments on Pandora. Marketing Science. 44(2). 327–352. 4 indexed citations
3.
Reiley, David & Anya Samek. (2018). ROUND GIVING: A FIELD EXPERIMENT ON SUGGESTED DONATION AMOUNTS IN PUBLIC‐TELEVISION FUNDRAISING. Economic Inquiry. 57(2). 876–889. 26 indexed citations
4.
Reiley, David, et al.. (2018). Measuring Consumer Sensitivity to Audio Advertising: A Field Experiment on Pandora Internet Radio. SSRN Electronic Journal. 23 indexed citations
5.
Johnson, Garrett, Randall A. Lewis, & David Reiley. (2016). When Less Is More: Data and Power in Advertising Experiments. Marketing Science. 36(1). 43–53. 57 indexed citations
6.
Johnson, Garrett, Randall A. Lewis, & David Reiley. (2015). When Less is More: Data and Power in Advertising Experiments. SSRN Electronic Journal. 14 indexed citations
7.
Lewis, Randall A. & David Reiley. (2014). Online ads and offline sales: measuring the effect of retail advertising via a controlled experiment on Yahoo!. Quantitative Marketing and Economics. 12(3). 235–266. 170 indexed citations
8.
Johnson, Garrett, Randall A. Lewis, & David Reiley. (2013). Add More Ads? Experimentally Measuring Incremental Purchases Due To Increased Frequency of Online Display Advertising. 3 indexed citations
9.
Reiley, David & Randall A. Lewis. (2013). Down-to-the-Minute Effects of Super Bowl Advertising on Online Search Behavior. SSRN Electronic Journal. 14 indexed citations
10.
Gray, Sean A. & David Reiley. (2013). Measuring the Benefits to Sniping on eBay: Evidence from a Field Experiment. RePEc: Research Papers in Economics. 9(2). 137–152. 4 indexed citations
11.
Reiley, David, et al.. (2012). Northern Exposure: A Field Experiment Measuring Externalities between Search Advertisements. SSRN Electronic Journal. 6 indexed citations
12.
Levitt, Steven D., John A. List, & David Reiley. (2010). What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments. Econometrica. 78(4). 1413–1434. 62 indexed citations
13.
Reiley, David, et al.. (2008). Stripped-Down Poker: A Classroom Game with Signaling and Bluffing. The Journal of Economic Education. 39(4). 323–341. 13 indexed citations
14.
List, John A. & David Reiley. (2008). Field Experiments in Economics: Palgrave Entry. SSRN Electronic Journal. 2 indexed citations
15.
Levitt, Steven D., John A. List, & David Reiley. (2007). What Happens in the Field Stays in the Field: Professionals Do Not Play Minimax in Laboratory Experiments. RePEc: Research Papers in Economics. 12 indexed citations
16.
Reiley, David. (2006). Field experiments on the effects of reserve prices in auctions: more Magic on the Internet. The RAND Journal of Economics. 37(1). 195–211. 58 indexed citations
17.
Brouhle, Keith, et al.. (2005). Local Residential Sorting and Public Goods Provision: A Classroom Demonstration. The Journal of Economic Education. 36(4). 332–341. 4 indexed citations
18.
Mullin, Charles H. & David Reiley. (2004). Recombinant estimation for normal-form games, with applications to auctions and bargaining. Games and Economic Behavior. 54(1). 159–182. 30 indexed citations
19.
Reiley, David. (2000). Auctions on the Internet: What's Being Auctioned, and How?. Journal of Industrial Economics. 48(3). 6 indexed citations
20.
List, John A. & David Reiley. (2000). The Effects of Seed Money and Refunds on Charitable Giving: Experimental Evidence from a University Capital Campaign. RePEc: Research Papers in Economics. 32 indexed citations

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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