Andrew Best

32 papers receiving 475 citations

Peers

Andrew Best
Comparison fields: 5 of 66
  • Automotive Engineering 136
  • Ocean Engineering 175
  • Human-Computer Interaction 55
  • Computer Vision and Pattern Recognition 195
  • Control and Systems Engineering 154
Replace Sahil Narang with:
Sahil Narang United States
Aniket Bera United States
Markus Kuderer Germany
Sujeong Kim United States
Gonzalo Ferrer Russia
Sai‐Keung Wong Taiwan
Ioannis Karamouzas United States
Garratt Gallagher United States
Dražen Brščić Japan
Alon Lerner Israel
Andrew Best relative to Sahil Narang United States Sahil Narang's profile →
Citations per field
00.5×3.2×
Sahil Narang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Andrew Best, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Best Line = papers co-authored together Andrew Best links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201680
2 201848
3 201647
4 201643
5 201733
6 201630
7 201724
8 201521
9 201817
10 201616
11 202415
12 201913
13 201712
14 198411
15
Simulating Lean Production Principles in Construction: A Last Planner-Driven Game
20149
16 20189
17 19799
18
Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning
20198
19 20206
20 20145

About Andrew Best

Andrew Best is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Artificial Intelligence and Automotive Engineering, having authored 34 papers that have together received 489 indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (9 papers), Human Motion and Animation (8 papers), Autonomous Vehicle Technology and Safety (5 papers), Human Pose and Action Recognition (5 papers), Formal Methods in Verification (5 papers), Traffic control and management (4 papers), Human-Automation Interaction and Safety (3 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Automotive Engineering (136 citations), Ocean Engineering (175 citations), Human-Computer Interaction (55 citations), Computer Vision and Pattern Recognition (195 citations) and Control and Systems Engineering (154 citations). Andrew Best has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Dinesh Manocha, Sahil Narang, Sean Curtis, Ari Shapiro, Tanmay Randhavane, Daniel Barber, Stephen M. Fiore, Aniket Bera, Sujeong Kim and Sin‐Hwa Kang. Their work appears in journals such as Scientific Reports, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and International Journal of Heavy Vehicle Systems.

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.

Explore authors with similar magnitude of impact