Nicholas Rhinehart
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Automotive Engineering
- Social Psychology
- Co-authors
- Kris KitaniSergey LevineRowan McAllisterFares BeainyYe YuanJiaqi GuanMohit SharmaAnimesh Garg
- Topics
- Human Pose and Action Recognition (7 papers)Video Surveillance and Tracking Methods (4 papers)Reinforcement Learning in Robotics (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Robotics and Automation LettersarXiv (Cornell University)
- Partner nations
- United StatesCanada
In The Last Decade
Nicholas Rhinehart
16 papers receiving 155 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 104
- Artificial Intelligence 84
- Control and Systems Engineering 35
- Automotive Engineering 31
- Social Psychology 11
Countries citing papers authored by Nicholas Rhinehart
This map shows the geographic impact of Nicholas Rhinehart'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 Nicholas Rhinehart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Rhinehart more than expected).
Fields of papers citing papers by Nicholas Rhinehart
This network shows the impact of papers produced by Nicholas Rhinehart. 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 Nicholas Rhinehart. The network helps show where Nicholas Rhinehart may publish in the future.
Co-authorship network of co-authors of Nicholas Rhinehart
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Rhinehart. A scholar is included among the top collaborators of Nicholas Rhinehart 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 Nicholas Rhinehart. Nicholas Rhinehart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | Conservative Safety Critics for Exploration | 4 |
| 4 | Parrot: Data-Driven Behavioral Priors for Reinforcement Learning | 3 |
| 5 | 1 | |
| 6 | Sequential Forecasting of 100,000 Points | 4 |
| 7 | 11 | |
| 8 | Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information. | 6 |
| 9 | 19 | |
| 10 | 17 | |
| 11 | N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning. | 14 |
| 12 | 58 | |
| 13 | Online Semantic Activity Forecasting with DARKO. | 4 |
| 14 | First-Person Forecasting with Online Inverse Reinforcement Learning | 1 |
| 15 | 13 | |
| 16 | 2 | |
| 17 | Varactor tuning can be tricky in high-power cir-cuits. | 1 |
About Nicholas Rhinehart
Nicholas Rhinehart is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 17 papers that have together received 166 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (4 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Artificial Intelligence (84 citations) and Automotive Engineering (31 citations). Nicholas Rhinehart has collaborated with scholars based in United States and Canada. Frequent co-authors include Kris Kitani, Sergey Levine, Rowan McAllister, Fares Beainy, Ye Yuan, Jiaqi Guan, Mohit Sharma, Animesh Garg, Xinshuo Weng and Henry A. Leopold. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Robotics and Automation Letters 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.