Geoffrey J. Gordon
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Management Science and Operations Research top 1%
- Co-authors
- Ajit SinghSebastian ThrunMaxim LikhachevByron BootsAndrew PavloDana Van AkenSajid M. SiddiqiBohan Zhang
- Topics
- Machine Learning and Algorithms (20 papers)Reinforcement Learning in Robotics (20 papers)Bayesian Modeling and Causal Inference (19 papers)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Geoffrey J. Gordon
106 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 1.1k
- Computer Networks and Communications 918
- Information Systems 868
- Management Science and Operations Research 539
Countries citing papers authored by Geoffrey J. Gordon
This map shows the geographic impact of Geoffrey J. Gordon'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 Geoffrey J. Gordon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey J. Gordon more than expected).
Fields of papers citing papers by Geoffrey J. Gordon
This network shows the impact of papers produced by Geoffrey J. Gordon. 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 Geoffrey J. Gordon. The network helps show where Geoffrey J. Gordon may publish in the future.
Co-authorship network of co-authors of Geoffrey J. Gordon
This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey J. Gordon. A scholar is included among the top collaborators of Geoffrey J. Gordon 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 Geoffrey J. Gordon. Geoffrey J. Gordon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Adversarial Task-Specific Privacy Preservation under Attribute Attack. | 1 |
| 3 | On learning invariant representations for domain adaptation | 89 |
| 4 | Recurrent Predictive State Policy Networks | 1 |
| 5 | A Unified Approach for Learning the Parameters of Sum-Product Networks | 1 |
| 6 | 5 | |
| 7 | A Spectral Learning Approach to Knowledge Tracing | 18 |
| 8 | No-Regret Reductions for Imitation Learning and Structured Prediction | 43 |
| 9 | 25 | |
| 10 | 9 | |
| 11 | Fast State Discovery for HMM Model Selection and Learning | 29 |
| 12 | A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games | 12 |
| 13 | Fast exact planning in Markov decision processes | 18 |
| 14 | Planning for Markov Decision Processes with Sparse Stochasticity | 17 |
| 15 | A learning algorithm for localizing people based on wireless signal strength that uses labeled and unlabeled data | 17 |
| 16 | Auction Mechanism Design for Multi-Robot Coordination | 34 |
| 17 | ARA*: Anytime A* with Provable Bounds on Sub-Optimality | 449 |
| 18 | Generalized^2 Linear^2 Models | 24 |
| 19 | Exponential Family PCA for Belief Compression in POMDPs | 80 |
| 20 | Reinforcement Learning with Function Approximation Converges to a Region | 64 |
About Geoffrey J. Gordon
Geoffrey J. Gordon is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing, having authored 112 papers that have together received 4.6k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (20 papers), Reinforcement Learning in Robotics (20 papers) and Bayesian Modeling and Causal Inference (19 papers). The work is most often cited by research in Computational Mathematics (75 citations), Artificial Intelligence (2.5k citations) and Computer Vision and Pattern Recognition (1.1k citations). Geoffrey J. Gordon has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Ajit Singh, Sebastian Thrun, Maxim Likhachev, Byron Boots, Andrew Pavlo, Dana Van Aken, Sajid M. Siddiqi, Bohan Zhang, Han Zhao and H. Brendan McMahan. Their work appears in journals such as The Journal of Chemical Physics, Bioinformatics and Psychosomatic Medicine.
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.