Justin A. Boyan
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Management Science and Operations Research top 2%
- Co-authors
- Michael L. LittmanAndrew MooreDayne FreitagAmy GreenwaldAndrew W. MooreScott E. FahlmanJeff SchneiderMichael Mitzenmacher
- Topics
- Evolutionary Algorithms and Applications (5 papers)Reinforcement Learning in Robotics (4 papers)Auction Theory and Applications (4 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsManagement Science and Operations Research
- Journals
- Machine LearningAutonomous Agents and Multi-Agent SystemsarXiv (Cornell University)
- Partner nations
- United StatesFrance
In The Last Decade
Justin A. Boyan
19 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 854
- Computer Networks and Communications 566
- Computational Theory and Mathematics 274
- Electrical and Electronic Engineering 263
- Management Science and Operations Research 254
Countries citing papers authored by Justin A. Boyan
This map shows the geographic impact of Justin A. Boyan'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 Justin A. Boyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin A. Boyan more than expected).
Fields of papers citing papers by Justin A. Boyan
This network shows the impact of papers produced by Justin A. Boyan. 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 Justin A. Boyan. The network helps show where Justin A. Boyan may publish in the future.
Co-authorship network of co-authors of Justin A. Boyan
This figure shows the co-authorship network connecting the top 25 collaborators of Justin A. Boyan. A scholar is included among the top collaborators of Justin A. Boyan 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 Justin A. Boyan. Justin A. Boyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bidding Algorithms for Simultaneous Auctions: A Case Study | 18 |
| 2 | 22 | |
| 3 | 14 | |
| 4 | 187 | |
| 5 | 3 | |
| 6 | 29 | |
| 7 | 9 | |
| 8 | Exact Solutions to Time-Dependent MDPs | 70 |
| 9 | IMPROVED RESULTS FOR ROUTE PLANNING IN STOCHASTIC TRANSPORTATION NETWORKS | 13 |
| 10 | A Machine Learning Architecture for Optimizing Web Search Engines | 79 |
| 11 | Least-Squares Temporal Difference Learning | 152 |
| 12 | Learning evaluation functions for global optimization and Boolean satisfiability | 47 |
| 13 | Value Function Based Production Scheduling | 20 |
| 14 | Learning evaluation functions for global optimization | 41 |
| 15 | Using Prediction to Improve Combinatorial Optimization Search | 5 |
| 16 | Learning evaluation functions for large acyclic domains | 12 |
| 17 | Generalization in Reinforcement Learning: Safely Approximating the Value Function | 326 |
| 18 | Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach | 490 |
| 19 | Modular Neural Networks for Learning Context-Dependent Game Strategies | 9 |
About Justin A. Boyan
Justin A. Boyan is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Marketing, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (5 papers), Reinforcement Learning in Robotics (4 papers) and Auction Theory and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (854 citations), Computer Networks and Communications (566 citations) and Management Science and Operations Research (254 citations). Justin A. Boyan has collaborated with scholars based in United States and France. Frequent co-authors include Michael L. Littman, Andrew Moore, Dayne Freitag, Amy Greenwald, Andrew W. Moore, Scott E. Fahlman, Jeff Schneider and Michael Mitzenmacher. Their work appears in journals such as Machine Learning, Autonomous Agents and Multi-Agent Systems and arXiv (Cornell University).
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.