Jamie Sherrah
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Aerospace Engineering top 10%
- Co-authors
- Shaogang GongChangming SunPranam JanneyAnton van den HengelSakrapee PaisitkriangkraiYongmin LiH. LiddellBranko Ristić
- Topics
- Video Surveillance and Tracking Methods (16 papers)Face recognition and analysis (10 papers)Face and Expression Recognition (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionImage and Vision Computing
- Partner nations
- AustraliaUnited KingdomSweden
In The Last Decade
Jamie Sherrah
31 papers receiving 858 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 620
- Media Technology 207
- Artificial Intelligence 174
- Environmental Engineering 99
- Aerospace Engineering 98
Countries citing papers authored by Jamie Sherrah
This map shows the geographic impact of Jamie Sherrah'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 Jamie Sherrah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Sherrah more than expected).
Fields of papers citing papers by Jamie Sherrah
This network shows the impact of papers produced by Jamie Sherrah. 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 Jamie Sherrah. The network helps show where Jamie Sherrah may publish in the future.
Co-authorship network of co-authors of Jamie Sherrah
This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Sherrah. A scholar is included among the top collaborators of Jamie Sherrah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jamie Sherrah. Jamie Sherrah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 37 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 24 | |
| 14 | 23 | |
| 15 | 16 | |
| 16 | 6 | |
| 17 | 55 | |
| 18 | 33 | |
| 19 | 20 | |
| 20 | 8 |
About Jamie Sherrah
Jamie Sherrah is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 32 papers that have together received 914 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Face recognition and analysis (10 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (620 citations), Media Technology (207 citations) and Human-Computer Interaction (61 citations). Jamie Sherrah has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Shaogang Gong, Changming Sun, Pranam Janney, Anton van den Hengel, Sakrapee Paisitkriangkrai, Yongmin Li, H. Liddell, Branko Ristić, Eng-Jon Ong and Abdesselam Bouzerdoum. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Image and Vision Computing.
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.