Alan Deckelbaum
Impact in
- Marketing top 5%
- Consumer Market Behavior and Pricing
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- Auction Theory and Applications
- Game Theory and Applications
- Advanced Bandit Algorithms Research
Papers in
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- Auction Theory and Applications 8
- Advanced Bandit Algorithms Research 4
- Game Theory and Applications 2
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- Consumer Market Behavior and Pricing 7
- Co-authors
- Constantinos Daskalakis (10 shared papers)Christos Tzamos (7 shared papers)Anthony Kim (3 shared papers)Silvio Micali (1 shared paper)
- Journals
- Games and Economic Behavior (2 papers)Quantum Information and Computation (1 paper)Econometrica (1 paper)Journal of Number Theory (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United States
In The Last Decade
Alan Deckelbaum
13 papers receiving 294 citations
Peers
Comparison fields: 5 of 32
- Marketing 200
- Management Science and Operations Research 263
- Management Information Systems 60
- Economics and Econometrics 69
- Safety Research 20
Countries citing papers authored by Alan Deckelbaum
This map shows the geographic impact of Alan Deckelbaum'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 Alan Deckelbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Deckelbaum more than expected).
Fields of papers citing papers by Alan Deckelbaum
This network shows the impact of papers produced by Alan Deckelbaum. 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 Alan Deckelbaum. The network helps show where Alan Deckelbaum may publish in the future.
Co-authors
The 4 scholars most cited alongside Alan Deckelbaum, 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 | 2017 | 69 | |
| 2 | 2013 | 47 | |
| 3 | The Complexity of Optimal Mechanism Design | 2014 | 44 |
| 4 | 2013 | 29 | |
| 5 | 2013 | 23 | |
| 6 | 2014 | 22 | |
| 7 | 2015 | 20 | |
| 8 | 2012 | 14 | |
| 9 | 2011 | 13 | |
| 10 | Near-Optimal No-Regret Algorithms for Zero-Sum Games | 2011 | 12 |
| 11 | 2016 | 8 | |
| 12 | 2014 | 1 | |
| 13 | 2009 | 1 |
About Alan Deckelbaum
Alan Deckelbaum is a scholar working on Management Science and Operations Research, Marketing, Artificial Intelligence, Discrete Mathematics and Combinatorics and Economics and Econometrics, having authored 13 papers that have together received 303 indexed citations. Recurring topics across this work include Auction Theory and Applications (8 papers), Consumer Market Behavior and Pricing (7 papers), Advanced Bandit Algorithms Research (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Economic theories and models (2 papers), Game Theory and Applications (2 papers), Optimization and Search Problems (1 paper) and graph theory and CDMA systems (1 paper). The work is most often cited by research in Marketing (200 citations), Management Science and Operations Research (263 citations), Management Information Systems (60 citations), Economics and Econometrics (69 citations) and Safety Research (20 citations). Alan Deckelbaum has collaborated with scholars based in United States. Frequent co-authors include Constantinos Daskalakis, Christos Tzamos, Anthony Kim and Silvio Micali. Their work appears in journals such as Games and Economic Behavior, Quantum Information and Computation, Econometrica, Journal of Number Theory and Lecture notes in computer science.
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.