Nathan Sprague
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Social Psychology
- Co-authors
- Dana H. BallardJiebo LuoSamy El-TawabMichael StewartNathan L. TenhundfeldD.H. BallardErin Brady
- Topics
- Reinforcement Learning in Robotics (4 papers)Human-Automation Interaction and Safety (3 papers)Transportation and Mobility Innovations (3 papers)
- Journals
- Journal of VisionACM Transactions on Applied PerceptionInternational Journal of Pattern Recognition and Artificial Intelligence
- Partner nations
- United StatesFrance
In The Last Decade
Nathan Sprague
16 papers receiving 257 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 120
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 70
- Human-Computer Interaction 57
- Social Psychology 30
Countries citing papers authored by Nathan Sprague
This map shows the geographic impact of Nathan Sprague'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 Nathan Sprague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Sprague more than expected).
Fields of papers citing papers by Nathan Sprague
This network shows the impact of papers produced by Nathan Sprague. 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 Nathan Sprague. The network helps show where Nathan Sprague may publish in the future.
Co-authorship network of co-authors of Nathan Sprague
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Sprague. A scholar is included among the top collaborators of Nathan Sprague 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 Nathan Sprague. Nathan Sprague is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 1 | |
| 7 | Arduino as a platform for a computer organization course | 5 |
| 8 | 0 | |
| 9 | Predictive projections | 10 |
| 10 | 2 | |
| 11 | 78 | |
| 12 | 1 | |
| 13 | Learning to coordinate visual behaviors | 3 |
| 14 | Multiple-goal reinforcement learning with modular Sarsa(O) | 52 |
| 15 | Eye Movements for Reward Maximization | 69 |
| 16 | 18 | |
| 17 | A Visual Control Architecture for a Virtual Humanoid | 3 |
About Nathan Sprague
Nathan Sprague is a scholar working on Architecture, General Decision Sciences and Transportation, having authored 17 papers that have together received 272 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Human-Automation Interaction and Safety (3 papers) and Transportation and Mobility Innovations (3 papers). The work is most often cited by research in Human-Computer Interaction (57 citations), Cognitive Neuroscience (120 citations) and Computer Vision and Pattern Recognition (97 citations). Nathan Sprague has collaborated with scholars based in United States and France. Frequent co-authors include Dana H. Ballard, Jiebo Luo, Samy El-Tawab, Michael Stewart, Nathan L. Tenhundfeld, D.H. Ballard and Erin Brady. Their work appears in journals such as Journal of Vision, ACM Transactions on Applied Perception and International Journal of Pattern Recognition and Artificial Intelligence.
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.