Alex Zyner
- Automotive Engineering top 2%
- Autonomous Vehicle Technology and Safety 6
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- Traffic and Road Safety 2
- Building and Construction top 5%
- Traffic Prediction and Management Techniques 4
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- Advanced Neural Network Applications 3
- Video Surveillance and Tracking Methods 3
- Visual Attention and Saliency Detection 1
- Control and Systems Engineering top 10%
- Traffic control and management 2
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- Infrastructure Maintenance and Monitoring 1
Alex Zyner
9 papers receiving 458 citations
Peers
Comparison fields: 5 of 47
- Automotive Engineering 354
- Safety, Risk, Reliability and Quality 129
- Building and Construction 159
- Computer Vision and Pattern Recognition 142
- Control and Systems Engineering 135
Countries citing papers authored by Alex Zyner
This map shows the geographic impact of Alex Zyner'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 Alex Zyner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Zyner more than expected).
Fields of papers citing papers by Alex Zyner
This network shows the impact of papers produced by Alex Zyner. 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 Alex Zyner. The network helps show where Alex Zyner may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Alex Zyner, 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 | 2019 | 159 | |
| 2 | 2019 | 17 | |
| 3 | 2019 | 27 | |
| 4 | 2018 | 129 | |
| 5 | 2018 | 13 | |
| 6 | Naturalistic Driver Intention and Path Prediction using Machine Learning | 2018 | 3 |
| 7 | 2017 | 105 | |
| 8 | 2017 | 8 | |
| 9 | Multi-Sensor Detection of Pedestrian Position and Behaviour | 2016 | 3 |
| 10 | Software-in-the-loop simulation as testing and visualisation framework for ITS algorithms | 2016 | 0 |
About Alex Zyner
Alex Zyner is a scholar working on Automotive Engineering, Building and Construction, Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Media Technology, having authored 10 papers that have together received 464 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (6 papers), Traffic Prediction and Management Techniques (4 papers), Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (3 papers), Traffic control and management (2 papers), Traffic and Road Safety (2 papers), Infrastructure Maintenance and Monitoring (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Automotive Engineering (354 citations), Safety, Risk, Reliability and Quality (129 citations), Building and Construction (159 citations), Computer Vision and Pattern Recognition (142 citations) and Control and Systems Engineering (135 citations). Alex Zyner has collaborated with scholars based in Australia, Spain and Belgium. Frequent co-authors include Stewart Worrall, E. Nebot, James Ward, Luis M. Bergasa, Roberto Arroyo, Johan Philips, James Ward and Asher Bender. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Intelligent Transportation Systems Magazine, IEEE Transactions on Intelligent Transportation Systems, The Sydney eScholarship Repository (The University of Sydney) and Lirias (KU Leuven).
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.