Andrew Best

780 total citations
34 papers, 489 citations indexed

About

Andrew Best is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Andrew Best has authored 34 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Ocean Engineering. Recurrent topics in Andrew Best's work include Evacuation and Crowd Dynamics (9 papers), Human Motion and Animation (8 papers) and Autonomous Vehicle Technology and Safety (5 papers). Andrew Best is often cited by papers focused on Evacuation and Crowd Dynamics (9 papers), Human Motion and Animation (8 papers) and Autonomous Vehicle Technology and Safety (5 papers). Andrew Best collaborates with scholars based in United States, Denmark and Egypt. Andrew Best's co-authors include Dinesh Manocha, Sahil Narang, Sean Curtis, Ari Shapiro, Tanmay Randhavane, Daniel Barber, Stephen M. Fiore, Sujeong Kim, Aniket Bera and Matthew Gombolay and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Robotics.

In The Last Decade

Andrew Best

32 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Best United States 13 195 175 154 136 76 34 489
Sai‐Keung Wong Taiwan 12 190 1.0× 125 0.7× 136 0.9× 43 0.3× 56 0.7× 62 479
Markus Kuderer Germany 8 244 1.3× 107 0.6× 241 1.6× 286 2.1× 106 1.4× 11 637
Sahil Narang United States 11 138 0.7× 98 0.6× 106 0.7× 88 0.6× 32 0.4× 16 301
Garratt Gallagher United States 4 300 1.5× 76 0.4× 200 1.3× 109 0.8× 85 1.1× 6 537
Sujeong Kim United States 14 357 1.8× 352 2.0× 161 1.0× 99 0.7× 35 0.5× 31 671
Francesco Setti Italy 13 314 1.6× 67 0.4× 64 0.4× 88 0.6× 64 0.8× 49 536
Dražen Brščić Japan 15 292 1.5× 244 1.4× 185 1.2× 76 0.6× 276 3.6× 51 806
Ioannis Karamouzas United States 15 361 1.9× 480 2.7× 308 2.0× 111 0.8× 39 0.5× 35 779
Aniket Bera United States 14 574 2.9× 221 1.3× 114 0.7× 211 1.6× 70 0.9× 55 880
Gonzalo Ferrer Russia 14 466 2.4× 266 1.5× 118 0.8× 197 1.4× 195 2.6× 42 736

Countries citing papers authored by Andrew Best

Since Specialization
Citations

This map shows the geographic impact of Andrew 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 Andrew Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Best more than expected).

Fields of papers citing papers by Andrew Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew 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 Andrew Best. The network helps show where Andrew Best may publish in the future.

Co-authorship network of co-authors of Andrew Best

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Best. A scholar is included among the top collaborators of Andrew 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 Andrew Best. Andrew 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.
Schepers, J.G., Adnan Shahid, Andrew Best, et al.. (2024). Lessons learned from 10 years of wind tunnel tests on small wind turbines designed by students. Journal of Physics Conference Series. 2767(7). 72009–72009. 2 indexed citations
3.
DeCastro, Jonathan, Jean Costa, Deepak Gopinath, et al.. (2024). Personalizing driver safety interfaces via driver cognitive factors inference. Scientific Reports. 14(1). 18058–18058. 2 indexed citations
4.
Schrum, Mariah, et al.. (2024). MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving. IEEE Transactions on Robotics. 40. 1952–1965. 15 indexed citations
5.
Qin, Xin, Nikos Aréchiga, Jyotirmoy V. Deshmukh, & Andrew Best. (2023). Robust Testing for Cyber-Physical Systems using Reinforcement Learning. 36–46. 1 indexed citations
6.
Qin, Xin, Nikos Aréchiga, Andrew Best, & Jyotirmoy V. Deshmukh. (2019). Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning. arXiv (Cornell University). 8 indexed citations
7.
Narang, Sahil, Andrew Best, & Dinesh Manocha. (2019). Inferring User Intent using Bayesian Theory of Mind in Shared Avatar-Agent Virtual Environments. IEEE Transactions on Visualization and Computer Graphics. 25(5). 2113–2122. 13 indexed citations
8.
Best, Andrew, et al.. (2018). Effects of Social Cues on Social Signals in Human-Robot Interaction During a Hallway Navigation Task. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62(1). 1128–1132. 9 indexed citations
9.
Narang, Sahil, Andrew Best, Ari Shapiro, & Dinesh Manocha. (2017). Generating Virtual Avatars with Personalized Walking Gaits using Commodity Hardware. 219–227. 4 indexed citations
10.
Best, Andrew, Sahil Narang, Daniel Barber, & Dinesh Manocha. (2017). AutonoVi: Autonomous vehicle planning with dynamic maneuvers and traffic constraints. Journal of International Crisis and Risk Communication Research. 2629–2636. 33 indexed citations
11.
Narang, Sahil, Andrew Best, & Dinesh Manocha. (2017). Interactive simulation of local interactions in dense crowds using elliptical agents. Journal of Statistical Mechanics Theory and Experiment. 2017(3). 33403–33403. 12 indexed citations
12.
Curtis, Sean, Andrew Best, & Dinesh Manocha. (2016). Menge: A Modular Framework for Simulating Crowd Movement. 1. 80 indexed citations
13.
Best, Andrew, et al.. (2016). Similarity, Complementarity, and Agency in HRI. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60(1). 1230–1234. 16 indexed citations
14.
Kim, Sujeong, et al.. (2016). Interactive and adaptive data-driven crowd simulation. 29–38. 30 indexed citations
15.
Best, Andrew, et al.. (2016). Clustering social cues to determine social signals: developing learning algorithms using the "n-most likely states" approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9837. 98370L–98370L. 4 indexed citations
16.
Best, Andrew, Sahil Narang, & Dinesh Manocha. (2016). Real-time reciprocal collision avoidance with elliptical agents. 298–305. 43 indexed citations
17.
Narang, Sahil, Andrew Best, Sean Curtis, & Dinesh Manocha. (2015). Generating Pedestrian Trajectories Consistent with the Fundamental Diagram Based on Physiological and Psychological Factors. PLoS ONE. 10(4). e0117856–e0117856. 21 indexed citations
18.
González, Vicente A., et al.. (2014). Simulating Lean Production Principles in Construction: A Last Planner-Driven Game. 1221–1232. 9 indexed citations
19.
Best, Andrew, et al.. (2014). PREDICTING HGV ROAD LOADS FROM RIG TESTS WITH INPUTS ON ONE AXLE AT A TIME. International Journal of Heavy Vehicle Systems. 3(1).
20.
Best, Andrew, et al.. (2014). Ped-Air: A Simulator for Loading, Unloading, and Evacuating Aircraft. Transportation research procedia. 2. 273–281. 5 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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