Scott Kiesel
Impact in
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- Robotic Path Planning Algorithms
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- Advanced Manufacturing and Logistics Optimization
Papers in
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- Robotic Path Planning Algorithms 10
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- AI-based Problem Solving and Planning 6
- Artificial Intelligence in Games 3
- Co-authors
- Andrew Tinka (4 shared papers)Joseph W. Durham (4 shared papers)Wolfgang Hönig (2 shared papers)Nora Ayanian (2 shared papers)Sven Koenig (2 shared papers)Jiaoyang Li (2 shared papers)T. K. Satish Kumar (2 shared papers)Wheeler Ruml (9 shared papers)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Journal of Artificial Intelligence Research (1 paper)National Conference on Artificial Intelligence (1 paper)International Conference on Artificial Intelligence (1 paper)Proceedings of the International Conference on Automated Planning and Scheduling (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Scott Kiesel
13 papers receiving 351 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 257
- Industrial and Manufacturing Engineering 94
- Software 22
- Computer Networks and Communications 100
- Artificial Intelligence 106
Countries citing papers authored by Scott Kiesel
This map shows the geographic impact of Scott Kiesel'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 Scott Kiesel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Kiesel more than expected).
Fields of papers citing papers by Scott Kiesel
This network shows the impact of papers produced by Scott Kiesel. 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 Scott Kiesel. The network helps show where Scott Kiesel may publish in the future.
Co-authors
The 16 scholars most cited alongside Scott Kiesel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 148 | |
| 2 | 2019 | 85 | |
| 3 | 2018 | 64 | |
| 4 | 2012 | 16 | |
| 5 | 2015 | 12 | |
| 6 | 2017 | 11 | |
| 7 | 2021 | 10 | |
| 8 | Max is more than min: solving maximization problems with heuristic search | 2015 | 7 |
| 9 | 2021 | 5 | |
| 10 | 2015 | 4 | |
| 11 | 2020 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2025 | 0 |
About Scott Kiesel
Scott Kiesel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 14 papers that have together received 366 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), AI-based Problem Solving and Planning (6 papers), Artificial Intelligence in Games (3 papers), Vehicle Routing Optimization Methods (3 papers), Constraint Satisfaction and Optimization (3 papers), Optimization and Search Problems (3 papers), Robotics and Sensor-Based Localization (3 papers) and Autonomous Vehicle Technology and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (257 citations), Industrial and Manufacturing Engineering (94 citations), Software (22 citations), Computer Networks and Communications (100 citations) and Artificial Intelligence (106 citations). Scott Kiesel has collaborated with scholars based in United States and Israel. Frequent co-authors include Andrew Tinka, Joseph W. Durham, Wolfgang Hönig, Nora Ayanian, Sven Koenig, Jiaoyang Li, T. K. Satish Kumar, Wheeler Ruml, Rami Puzis and Roni Stern. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Artificial Intelligence Research, National Conference on Artificial Intelligence, International Conference on Artificial Intelligence and Proceedings of the International Conference on Automated Planning and Scheduling.
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.