Graeme Best
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
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- Robotic Path Planning Algorithms 12
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- Robotics and Sensor-Based Localization 10
- Co-authors
- Robert Fitch (11 shared papers)Geoffrey A. Hollinger (11 shared papers)Ramgopal R. Mettu (2 shared papers)Jan Faigl (3 shared papers)Oliver M. Cliff (1 shared paper)Timothy Patten (1 shared paper)Sebastian Scherer (4 shared papers)Robert Pěnička (1 shared paper)
- Journals
- Autonomous Robots (3 papers)IEEE Robotics and Automation Letters (2 papers)The International Journal of Robotics Research (2 papers)Journal of Field Robotics (1 paper)IEEE Transactions on Robotics (1 paper)
- Partner nations
- United StatesAustraliaCzechia
In The Last Decade
Graeme Best
32 papers receiving 549 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 279
- Aerospace Engineering 186
- Computer Networks and Communications 168
- Artificial Intelligence 197
- Ocean Engineering 63
Countries citing papers authored by Graeme Best
This map shows the geographic impact of Graeme Best'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 Graeme Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graeme Best more than expected).
Fields of papers citing papers by Graeme Best
This network shows the impact of papers produced by Graeme Best. 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 Graeme Best. The network helps show where Graeme Best may publish in the future.
Co-authors
The 25 scholars most cited alongside Graeme Best, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2015 | 46 | |
| 3 | 2017 | 46 | |
| 4 | 2018 | 41 | |
| 5 | 2021 | 35 | |
| 6 | 2019 | 26 | |
| 7 | 2016 | 25 | |
| 8 | 2016 | 25 | |
| 9 | 2022 | 24 | |
| 10 | Terrain classification using a hexapod robot | 2013 | 21 |
| 11 | 2017 | 21 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2015 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2019 | 7 |
About Graeme Best
Graeme Best is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 33 papers that have together received 566 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (10 papers), Optimization and Search Problems (6 papers), Distributed Control Multi-Agent Systems (5 papers), Reinforcement Learning in Robotics (4 papers), Vehicle Routing Optimization Methods (2 papers), Artificial Intelligence in Games (2 papers) and Topological and Geometric Data Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Aerospace Engineering (186 citations), Computer Networks and Communications (168 citations), Artificial Intelligence (197 citations) and Ocean Engineering (63 citations). Graeme Best has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include Robert Fitch, Geoffrey A. Hollinger, Ramgopal R. Mettu, Jan Faigl, Oliver M. Cliff, Timothy Patten, Sebastian Scherer, Robert Pěnička, John M. Keller and Peyman Moghadam. Their work appears in journals such as Autonomous Robots, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Journal of Field Robotics and IEEE Transactions on Robotics.
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.