Bryan Scotney
Impact in
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- Context-Aware Activity Recognition Systems
- Medical Image Segmentation Techniques
- Chaos-based Image/Signal Encryption
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
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- Medical Image Segmentation Techniques 24
- Context-Aware Activity Recognition Systems 16
- Advanced Vision and Imaging 14
- Advanced Image and Video Retrieval Techniques 13
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- AI in cancer detection 12
- Co-authors
- Sally McClean (53 shared papers)Philip Morrow (24 shared papers)Sonya Coleman (39 shared papers)Chris Nugent (21 shared papers)Hui Wang (19 shared papers)Andrik Rampun (11 shared papers)Shuai Zhang (14 shared papers)Maurice Mulvenna (3 shared papers)
- Journals
- Pattern Recognition (7 papers)Data & Knowledge Engineering (3 papers)Information Sciences (2 papers)Journal of Mathematical Imaging and Vision (2 papers)Artificial Intelligence in Medicine (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Bryan Scotney
124 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 717
- Signal Processing 254
- Artificial Intelligence 582
- Computer Networks and Communications 291
- Media Technology 89
Countries citing papers authored by Bryan Scotney
This map shows the geographic impact of Bryan Scotney'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 Bryan Scotney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Scotney more than expected).
Fields of papers citing papers by Bryan Scotney
This network shows the impact of papers produced by Bryan Scotney. 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 Bryan Scotney. The network helps show where Bryan Scotney may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Scotney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 149 | |
| 2 | 2022 | 102 | |
| 3 | 2001 | 62 | |
| 4 | 2013 | 60 | |
| 5 | 2017 | 59 | |
| 6 | 2019 | 58 | |
| 7 | 2018 | 54 | |
| 8 | 2013 | 46 | |
| 9 | 2013 | 44 | |
| 10 | 2018 | 41 | |
| 11 | 1997 | 36 | |
| 12 | 2006 | 35 | |
| 13 | 2011 | 34 | |
| 14 | 2019 | 34 | |
| 15 | 2010 | 32 | |
| 16 | 2019 | 29 | |
| 17 | 2008 | 29 | |
| 18 | 2010 | 28 | |
| 19 | 1997 | 27 | |
| 20 | 2010 | 25 |
About Bryan Scotney
Bryan Scotney is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Information Systems, having authored 133 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (24 papers), Data Management and Algorithms (17 papers), Context-Aware Activity Recognition Systems (16 papers), Advanced Vision and Imaging (14 papers), Advanced Database Systems and Queries (13 papers), Robotics and Sensor-Based Localization (13 papers), Advanced Image and Video Retrieval Techniques (13 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (717 citations), Signal Processing (254 citations), Artificial Intelligence (582 citations), Computer Networks and Communications (291 citations) and Media Technology (89 citations). Bryan Scotney has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Sally McClean, Philip Morrow, Sonya Coleman, Chris Nugent, Hui Wang, Andrik Rampun, Shuai Zhang, Maurice Mulvenna, Xin Hong and John Winder. Their work appears in journals such as Pattern Recognition, Data & Knowledge Engineering, Information Sciences, Journal of Mathematical Imaging and Vision and Artificial Intelligence in Medicine.
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.