Dan Barnes
Impact in
- Instrumentation top 10%
- Advanced Optical Sensing Technologies
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- Advanced SAR Imaging Techniques
Papers in
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- Video Surveillance and Tracking Methods 2
- Advanced Image and Video Retrieval Techniques 1
- Advanced Vision and Imaging 1
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Ingmar Posner (4 shared papers)Matthew Gadd (1 shared paper)Paul Murcutt (1 shared paper)Paul Newman (1 shared paper)Will Maddern (2 shared papers)Geoffrey Pascoe (1 shared paper)
- Journals
- Digital Commons - USU (Utah State University) (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Dan Barnes
5 papers receiving 449 citations
Dan Barnes's Hit Papers
Peers
Comparison fields: 5 of 48
- Instrumentation 58
- Aerospace Engineering 300
- Computer Vision and Pattern Recognition 222
- Automotive Engineering 92
- Environmental Engineering 89
Countries citing papers authored by Dan Barnes
This map shows the geographic impact of Dan Barnes'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 Dan Barnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Barnes more than expected).
Fields of papers citing papers by Dan Barnes
This network shows the impact of papers produced by Dan Barnes. 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 Dan Barnes. The network helps show where Dan Barnes may publish in the future.
Co-authors
The 6 scholars most cited alongside Dan Barnes, 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 | The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset Hit paper breakdown → | 2020 | 289 |
| 2 | 2020 | 92 | |
| 3 | 2018 | 38 | |
| 4 | 2015 | 27 | |
| 5 | A System for Visually Classifying Alfalfa Flower Color | 1972 | 16 |
About Dan Barnes
Dan Barnes is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 5 papers that have together received 462 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Video Surveillance and Tracking Methods (2 papers), Leaf Properties and Growth Measurement (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Advanced Vision and Imaging (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Instrumentation (58 citations), Aerospace Engineering (300 citations), Computer Vision and Pattern Recognition (222 citations), Automotive Engineering (92 citations) and Environmental Engineering (89 citations). Dan Barnes has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Ingmar Posner, Matthew Gadd, Paul Murcutt, Paul Newman, Will Maddern and Geoffrey Pascoe. Their work appears in journals such as Digital Commons - USU (Utah State University) and Oxford University Research Archive (ORA) (University of Oxford).
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.