Andrew Bradley
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Fabio CuzzolinPeter BallPaul NewmanSalman KhanReza Javanmard AlitappehGurkirt SinghGiuseppe Di GironimoStanislao Grazioso
- Topics
- Autonomous Vehicle Technology and Safety (5 papers)Video Surveillance and Tracking Methods (3 papers)Human Pose and Action Recognition (3 papers)
- Journals
- NatureIEEE Transactions on Pattern Analysis and Machine IntelligenceVehicle System Dynamics
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Andrew Bradley
13 papers receiving 187 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 81
- Automotive Engineering 73
- Artificial Intelligence 46
- Electrical and Electronic Engineering 27
- Control and Systems Engineering 21
Countries citing papers authored by Andrew Bradley
This map shows the geographic impact of Andrew Bradley'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 Bradley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Bradley more than expected).
Fields of papers citing papers by Andrew Bradley
This network shows the impact of papers produced by Andrew Bradley. 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 Bradley. The network helps show where Andrew Bradley may publish in the future.
Co-authorship network of co-authors of Andrew Bradley
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Bradley. A scholar is included among the top collaborators of Andrew Bradley 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 Bradley. Andrew Bradley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 65 | |
| 5 | 23 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 32 | |
| 9 | 17 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | Visual Impact of Monochromatic Aberrations | 4 |
| 14 | 13 |
About Andrew Bradley
Andrew Bradley is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 14 papers that have together received 195 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (5 papers), Video Surveillance and Tracking Methods (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Automotive Engineering (73 citations), Computer Vision and Pattern Recognition (81 citations) and Artificial Intelligence (46 citations). Andrew Bradley has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Fabio Cuzzolin, Peter Ball, Paul Newman, Salman Khan, Reza Javanmard Alitappeh, Gurkirt Singh, Giuseppe Di Gironimo, Stanislao Grazioso, Salman Khan and Charles Wallace. Their work appears in journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Vehicle System Dynamics.
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.