Preston McAfee
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- Auction Theory and Applications
- Advanced Bandit Algorithms Research
Papers in
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- Auction Theory and Applications 6
- Advanced Bandit Algorithms Research 2
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- Consumer Market Behavior and Pricing 4
- Co-authors
- Arpita Ghosh (5 shared papers)Sergei Vassilvitskii (3 shared papers)Satyen Kale (1 shared paper)Kishore Papineni (2 shared papers)Mohammad Mahdian (1 shared paper)Patrick Hummel (1 shared paper)John Langford (1 shared paper)Lihong Li (1 shared paper)
- Journals
- International Journal of Industrial Organization (1 paper)Lecture notes in computer science (2 papers)Information Systems and e-Business Management (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Preston McAfee
9 papers receiving 330 citations
Peers
Comparison fields: 5 of 49
- Computer Science Applications 133
- Management Science and Operations Research 185
- Marketing 112
- Management Information Systems 39
- Safety Research 30
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 | 2009 | 99 | |
| 2 | 2011 | 91 | |
| 3 | 2011 | 69 | |
| 4 | 2012 | 40 | |
| 5 | 2012 | 27 | |
| 6 | 2014 | 9 | |
| 7 | 2011 | 7 | |
| 8 | Bidding for Representative Allocations for Display Advertising | 2009 | 5 |
| 9 | 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 9 papers that have together received 349 indexed citations. Recurring topics across this work include Auction Theory and Applications (6 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Consumer Market Behavior and Pricing (4 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 (133 citations), Management Science and Operations Research (185 citations), Marketing (112 citations), Management Information Systems (39 citations) and Safety Research (30 citations). Preston McAfee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Arpita Ghosh, Sergei Vassilvitskii, Satyen Kale, Kishore Papineni, Mohammad Mahdian, Patrick Hummel, John Langford and Lihong Li. 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.