Andrew Bradley
- Automotive Engineering top 10%
- Autonomous Vehicle Technology and Safety 5
-
- Video Surveillance and Tracking Methods 3
- Human Pose and Action Recognition 3
- Advanced Neural Network Applications 3
-
- Anomaly Detection Techniques and Applications 3
-
- Real-time simulation and control systems 3
- Traffic control and management 2
-
- Thermodynamic and Structural Properties of Metals and Alloys 1
- Co-authors
- Fabio CuzzolinPeter BallPaul NewmanSalman KhanReza Javanmard AlitappehGurkirt SinghGiuseppe Di GironimoStanislao Grazioso
- Journals
- Nature (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Vehicle System Dynamics (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Andrew Bradley
13 papers receiving 187 citations
Peers
Comparison fields: 5 of 52
- Automotive Engineering 73
- Computer Vision and Pattern Recognition 81
- Artificial Intelligence 46
- Safety, Risk, Reliability and Quality 11
- Building and Construction 16
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
The 21 scholars most cited alongside Andrew Bradley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 65 | |
| 5 | 2022 | 23 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 6 | |
| 12 | 2014 | 6 | |
| 13 | Visual Impact of Monochromatic Aberrations | 2003 | 4 |
| 14 | 1951 | 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), Human Pose and Action Recognition (3 papers), Real-time simulation and control systems (3 papers), Advanced Neural Network Applications (3 papers), Anomaly Detection Techniques and Applications (3 papers), Traffic control and management (2 papers) and Thermodynamic and Structural Properties of Metals and Alloys (1 paper). 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.