Nathan Sturtevant
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Aerospace Engineering top 5%
- Signal Processing top 2%
- Co-authors
- Ariel FelnerRoni SternGuni SharonMichael BuroJonathan SchaefferRobert C. HolteVadim BulitkoJingwei Chen
- Topics
- Robotic Path Planning Algorithms (59 papers)AI-based Problem Solving and Planning (50 papers)Artificial Intelligence in Games (47 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Nathan Sturtevant
135 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 1.6k
- Computer Networks and Communications 900
- Aerospace Engineering 360
- Signal Processing 327
Countries citing papers authored by Nathan Sturtevant
This map shows the geographic impact of Nathan Sturtevant'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 Sturtevant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Sturtevant more than expected).
Fields of papers citing papers by Nathan Sturtevant
This network shows the impact of papers produced by Nathan Sturtevant. 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 Sturtevant. The network helps show where Nathan Sturtevant may publish in the future.
Co-authorship network of co-authors of Nathan Sturtevant
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Sturtevant. A scholar is included among the top collaborators of Nathan Sturtevant 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 Sturtevant. Nathan Sturtevant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | Subset selection of search heuristics | 6 |
| 5 | 5 | |
| 6 | 7 | |
| 7 | Proceedings of Motion on Games | 3 |
| 8 | 21 | |
| 9 | 20 | |
| 10 | A* search with inconsistent heuristics | 13 |
| 11 | TBA*: time-bounded A* | 27 |
| 12 | Memory-based heuristics for explicit state spaces | 71 |
| 13 | Improving state evaluation, inference, and search in trick-based card games | 34 |
| 14 | 13 | |
| 15 | 32 | |
| 16 | 19 | |
| 17 | 50 | |
| 18 | 47 | |
| 19 | Prob-Max n : playing N-player games with opponent models | 21 |
| 20 | On Pruning Techniques for Multi-Player Games | 36 |
About Nathan Sturtevant
Nathan Sturtevant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 149 papers that have together received 2.9k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (59 papers), AI-based Problem Solving and Planning (50 papers) and Artificial Intelligence in Games (47 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Artificial Intelligence (1.6k citations) and Computer Networks and Communications (900 citations). Nathan Sturtevant has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Ariel Felner, Roni Stern, Guni Sharon, Michael Buro, Jonathan Schaeffer, Robert C. Holte, Vadim Bulitko, Jingwei Chen, Michael Bowling and Richard E. Korf. Their work appears in journals such as Artificial Intelligence, Journal of Artificial Intelligence Research and AI Magazine.
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.