Graeme Best

904 total citations
33 papers, 566 citations indexed

About

Graeme Best is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Graeme Best has authored 33 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Aerospace Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Graeme Best's work include Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (10 papers) and Optimization and Search Problems (6 papers). Graeme Best is often cited by papers focused on Robotic Path Planning Algorithms (12 papers), Robotics and Sensor-Based Localization (10 papers) and Optimization and Search Problems (6 papers). Graeme Best collaborates with scholars based in United States, Australia and Czechia. Graeme Best's co-authors include Robert Fitch, Geoffrey A. Hollinger, Ramgopal R. Mettu, Jan Faigl, Timothy Patten, Oliver M. Cliff, Sebastian Scherer, Robert Pěnička, John M. Keller and Peyman Moghadam and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Autonomous Robots.

In The Last Decade

Graeme Best

32 papers receiving 549 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Graeme Best United States 14 279 197 186 168 63 33 566
Hachémi Bennaceur Saudi Arabia 12 353 1.3× 121 0.6× 154 0.8× 137 0.8× 51 0.8× 27 522
Michael Otte United States 12 419 1.5× 129 0.7× 262 1.4× 240 1.4× 31 0.5× 39 653
Heng Zhang China 12 226 0.8× 105 0.5× 149 0.8× 101 0.6× 23 0.4× 77 609
Tingxiang Fan Hong Kong 12 337 1.2× 188 1.0× 194 1.0× 109 0.6× 66 1.0× 16 576
Chengping Zhou China 8 402 1.4× 135 0.7× 312 1.7× 106 0.6× 48 0.8× 37 570
Kian Hsiang Low Singapore 16 175 0.6× 334 1.7× 129 0.7× 183 1.1× 68 1.1× 39 651
Pratap Tokekar United States 6 219 0.8× 67 0.3× 244 1.3× 190 1.1× 46 0.7× 9 522
Christian Schlegel Germany 11 285 1.0× 166 0.8× 250 1.3× 79 0.5× 29 0.5× 42 625
Xiaojia Xiang China 12 388 1.4× 197 1.0× 415 2.2× 277 1.6× 60 1.0× 58 739
Anmin Zhu China 11 357 1.3× 158 0.8× 166 0.9× 147 0.9× 89 1.4× 39 656

Countries citing papers authored by Graeme Best

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Graeme Best

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme Best. A scholar is included among the top collaborators of Graeme Best 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 Graeme Best. Graeme Best is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Best, Graeme, et al.. (2025). Synthesizing compact behavior trees for probabilistic robotics domains. Autonomous Robots. 49(1). 1 indexed citations
4.
Davis, B., et al.. (2024). Multi-Goal Path Planning in Cluttered Environments with PRM-Guided Self-Organising Maps. 10746–10753. 2 indexed citations
5.
Best, Graeme, Rohit Garg, John M. Keller, Geoffrey A. Hollinger, & Sebastian Scherer. (2023). Multi-robot, multi-sensor exploration of multifarious environments with full mission aerial autonomy. The International Journal of Robotics Research. 43(4). 485–512. 11 indexed citations
6.
Corah, Micah, et al.. (2023). Multi-Robot Multi-Room Exploration With Geometric Cue Extraction and Circular Decomposition. IEEE Robotics and Automation Letters. 9(2). 1190–1197. 7 indexed citations
7.
Best, Graeme, Rishi Garg, John M. Keller, Geoffrey A. Hollinger, & Sebastian Scherer. (2022). Resilient Multi-Sensor Exploration of Multifarious Environments with a Team of Aerial Robots. 24 indexed citations
8.
Welch, T. P., Graeme Best, R. Kipp Shearman, et al.. (2021). Ocean front detection and tracking using a team of heterogeneous marine vehicles. Journal of Field Robotics. 38(6). 854–881. 35 indexed citations
9.
10.
Best, Graeme, et al.. (2021). Roadmap Learning for Probabilistic Occupancy Maps With Topology-Informed Growing Neural Gas. IEEE Robotics and Automation Letters. 6(3). 4805–4812. 16 indexed citations
11.
Best, Graeme. (2019). Planning Algorithms for Multi-Robot Active Perception. The Sydney eScholarship Repository (The University of Sydney). 4 indexed citations
12.
Best, Graeme, et al.. (2018). Planning-Aware Communication for Decentralised Multi-Robot Coordination. 1050–1057. 41 indexed citations
13.
Best, Graeme, Oliver M. Cliff, Timothy Patten, Ramgopal R. Mettu, & Robert Fitch. (2018). Dec-MCTS: Decentralized planning for multi-robot active perception. The International Journal of Robotics Research. 38(2-3). 316–337. 126 indexed citations
14.
Best, Graeme, Shoudong Huang, & Robert Fitch. (2018). Decentralised Mission Monitoring with Spatiotemporal Optimal Stopping. 8031. 4810–4817. 2 indexed citations
15.
Best, Graeme, Jan Faigl, & Robert Fitch. (2016). Multi-robot path planning for budgeted active perception with self-organising maps. 3164–3171. 25 indexed citations
16.
Best, Graeme & Robert Fitch. (2016). Probabilistic Maximum Set Cover with Path Constraints for Informative Path Planning. UTS ePRESS (University of Technology Sydney). 4 indexed citations
17.
Best, Graeme & Robert Fitch. (2015). Bayesian intention inference for trajectory prediction with an unknown goal destination. 5817–5823. 46 indexed citations
19.
Best, Graeme & Peyman Moghadam. (2014). An evaluation of multi-modal user interface elements for tablet-based robot teleoperation. Queensland's institutional digital repository (The University of Queensland). 4 indexed citations
20.
Best, Graeme, Peyman Moghadam, Navinda Kottege, & Lindsay Kleeman. (2013). Terrain classification using a hexapod robot. Queensland's institutional digital repository (The University of Queensland). 21 indexed citations

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.

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