Preston McAfee
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- Auction Theory and Applications
- Game Theory and Applications
Papers in
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- Auction Theory and Applications 5
- Advanced Bandit Algorithms Research 2
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- Consumer Market Behavior and Pricing 3
- Co-authors
- Arpita Ghosh (4 shared papers)Satyen Kale (1 shared paper)Sergei Vassilvitskii (2 shared papers)Mohammad Mahdian (1 shared paper)Patrick Hummel (1 shared paper)Lihong Li (1 shared paper)John Langford (1 shared paper)Kishore Papineni (1 shared paper)
- Journals
- International Journal of Industrial Organization (1 paper)Lecture notes in computer science (1 paper)Information Systems and e-Business Management (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Preston McAfee
8 papers receiving 223 citations
Peers
Comparison fields: 5 of 42
- Computer Science Applications 125
- Management Science and Operations Research 113
- Safety Research 28
- Marketing 27
- Artificial Intelligence 77
Countries citing papers authored by Preston McAfee
This map shows the geographic impact of Preston McAfee'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 Preston McAfee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preston McAfee more than expected).
Fields of papers citing papers by Preston McAfee
This network shows the impact of papers produced by Preston McAfee. 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 Preston McAfee. The network helps show where Preston McAfee may publish in the future.
Co-authors
The 8 scholars most cited alongside Preston McAfee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 87 | |
| 2 | 2011 | 65 | |
| 3 | 2012 | 38 | |
| 4 | 2012 | 23 | |
| 5 | 2014 | 9 | |
| 6 | 2011 | 7 | |
| 7 | Bidding for Representative Allocations for Display Advertising | 2009 | 5 |
| 8 | 2011 | 2 |
About Preston McAfee
Preston McAfee is a scholar working on Management Science and Operations Research, Marketing, Computer Science Applications, Information Systems and Artificial Intelligence, having authored 8 papers that have together received 236 indexed citations. Recurring topics across this work include Auction Theory and Applications (5 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Consumer Market Behavior and Pricing (3 papers), Advanced Bandit Algorithms Research (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Spam and Phishing Detection (1 paper), Digital Platforms and Economics (1 paper) and Experimental Behavioral Economics Studies (1 paper). The work is most often cited by research in Computer Science Applications (125 citations), Management Science and Operations Research (113 citations), Safety Research (28 citations), Marketing (27 citations) and Artificial Intelligence (77 citations). Preston McAfee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Arpita Ghosh, Satyen Kale, Sergei Vassilvitskii, Mohammad Mahdian, Patrick Hummel, Lihong Li, John Langford and Kishore Papineni. Their work appears in journals such as International Journal of Industrial Organization, Lecture notes in computer science and Information Systems and e-Business Management.
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.