Mark Cox
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Robotic Path Planning Algorithms
Papers in
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- Advanced Image and Video Retrieval Techniques 5
- Advanced Vision and Imaging 3
- Face and Expression Recognition 3
- Face recognition and analysis 2
- Advanced Neural Network Applications 2
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Simon Lucey (5 shared papers)Sridha Sridharan (5 shared papers)Yingying Zhu (1 shared paper)Jeffrey F. Cohn (2 shared papers)Yang Wang (1 shared paper)Jeffery F. Cohn (1 shared paper)Soohwan Kim (1 shared paper)Paulo Borges (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Image and Vision Computing (1 paper)The International Journal of Robotics Research (1 paper)SAE International Journal of Passenger Cars - Mechanical Systems (1 paper)PubMed (2 papers)
- Partner nations
- AustraliaUnited StatesSwitzerland
In The Last Decade
Mark Cox
13 papers receiving 173 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 116
- Computational Mathematics 2
- Geology 17
- Aerospace Engineering 54
- Environmental Engineering 18
Countries citing papers authored by Mark Cox
This map shows the geographic impact of Mark Cox'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 Mark Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Cox more than expected).
Fields of papers citing papers by Mark Cox
This network shows the impact of papers produced by Mark Cox. 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 Mark Cox. The network helps show where Mark Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Cox, 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 | 2011 | 31 | |
| 2 | 2009 | 29 | |
| 3 | 2009 | 29 | |
| 4 | 2020 | 26 | |
| 5 | 2018 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2022 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2008 | 3 | |
| 10 | 2008 | 3 | |
| 11 | 2008 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2015 | 0 |
About Mark Cox
Mark Cox is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Environmental Engineering and Geology, having authored 14 papers that have together received 176 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (5 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Vision and Imaging (3 papers), Face and Expression Recognition (3 papers), Remote Sensing and LiDAR Applications (2 papers), Face recognition and analysis (2 papers), Advanced Neural Network Applications (2 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Computational Mathematics (2 citations), Geology (17 citations), Aerospace Engineering (54 citations) and Environmental Engineering (18 citations). Mark Cox has collaborated with scholars based in Australia, United States and Switzerland. Frequent co-authors include Simon Lucey, Sridha Sridharan, Yingying Zhu, Jeffrey F. Cohn, Yang Wang, Jeffery F. Cohn, Soohwan Kim, Paulo Borges, Peyman Moghadam and Jason Williams. Their work appears in journals such as IEEE Robotics and Automation Letters, Image and Vision Computing, The International Journal of Robotics Research, SAE International Journal of Passenger Cars - Mechanical Systems and PubMed.
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.