Amy Greenwald

2.5k citations
63 papers · 1.3k indexed · h-index 20

Impact in

Papers in

Amy Greenwald

59 papers receiving 1.1k citations

Peers

Amy Greenwald
Comparison fields: 5 of 62
  • Management Science and Operations Research 907
  • Marketing 439
  • Management Information Systems 211
  • Safety Research 122
  • Artificial Intelligence 378
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Citations per field
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Citations per year

Countries citing papers authored by Amy Greenwald

Since Specialization
Citations

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

Fields of papers citing papers by Amy Greenwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20230
3
Empirical Mechanism Design: Designing Mechanisms from Data.
20193
4
Feature-based Joint Planning and Norm Learning in Collaborative Games.
20165
5
Coco-Q: Learning in Stochastic Games with Side Payments
20131
6
Empirical analysis of auctioneer profitability in QuiBids penny auctions
20130
7
More Efficient Internal-Regret-Minimizing Algorithms.
20081
8
Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition (Intelligent Robotics and Autonomous Agents)
200729
9
Using iterated best-response to find Bayes-Nash equilibria in auctions
20075
10
Cyclic Equilibria in Markov Games
200529
11
Bidding Algorithms for Simultaneous Auctions: A Case Study
200518
12
Scaling Up the Sample Average Approximation Method for Stochastic Optimization with Applications to Trading Agents
20051
13 200422
14
The 2002 Trading Agent Competition : An Overview of Agent Designs
20032
15
Correlated-Q learning
2003210
16 200321
17
On No-Regret Learning, Fictitious Play, and Nash Equilibrium
200160
18
Shopbots and Pricebots
199917
19
Shopbot Economics
19992
20
Learning to play network games: does rationality yield nash equilibrium?
19982

About Amy Greenwald

Amy Greenwald is a scholar working on Management Science and Operations Research, Marketing, Safety Research, Management Information Systems and General Decision Sciences, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Auction Theory and Applications (39 papers), Consumer Market Behavior and Pricing (26 papers), Game Theory and Applications (20 papers), Experimental Behavioral Economics Studies (9 papers), Economic theories and models (9 papers), Supply Chain and Inventory Management (8 papers), Advanced Bandit Algorithms Research (6 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Management Science and Operations Research (907 citations), Marketing (439 citations), Management Information Systems (211 citations), Safety Research (122 citations) and Artificial Intelligence (378 citations). Amy Greenwald has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jeffrey O. Kephart, Keith Hall, Peter Stone, James E. Hanson, Justin A. Boyan, Michael P. Wellman, Pattie Maes, Victor Naroditskiy, Joan Morris DiMicco and Karthik Kannan. Their work appears in journals such as Games and Economic Behavior, Journal of Artificial Intelligence Research, Autonomous Agents and Multi-Agent Systems, AI Magazine and Electronic Commerce Research.

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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