Andrew Best

23 papers and 212 indexed citations i.

About

Andrew Best is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Andrew Best has authored 23 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Andrew Best’s work include Evacuation and Crowd Dynamics (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic control and management (4 papers). Andrew Best is often cited by papers focused on Evacuation and Crowd Dynamics (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic control and management (4 papers). Andrew Best collaborates with scholars based in United States, Egypt and Denmark. Andrew Best's co-authors include Dinesh Manocha, Sahil Narang, Daniel Barber, Stephen M. Fiore, Sean Curtis, Andrew Feng, Ari Shapiro, Sin‐Hwa Kang, Jyotirmoy V. Deshmukh and Nikos Aréchiga and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Robotics.

In The Last Decade

Co-authorship network of co-authors of Andrew Best i

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.

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).

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

Rankless by CCL
2025