Jonathan Warrell
Impact in
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- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
Papers in
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- Advanced Image and Video Retrieval Techniques 15
- Advanced Neural Network Applications 9
- Medical Image Segmentation Techniques 4
- Image Retrieval and Classification Techniques 4
- Face and Expression Recognition 3
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- RNA Research and Splicing 5
- Single-cell and spatial transcriptomics 4
- Co-authors
- Simon J. D. Prince (7 shared papers)Vibhav Vineet (6 shared papers)Alastair Moore (4 shared papers)Ming‐Ming Cheng (2 shared papers)Shuai Zheng (2 shared papers)Nigel Crook (2 shared papers)Wen-Yan Lin (1 shared paper)Graham Jones (2 shared papers)
- Journals
- Nature Communications (2 papers)PLoS ONE (2 papers)Bioinformatics (2 papers)Clinical Cancer Research (1 paper)Modern Pathology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jonathan Warrell
36 papers receiving 1.6k citations
Jonathan Warrell's Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 1.1k
- Sensory Systems 166
- Media Technology 178
- Cancer Research 160
- Geology 39
Countries citing papers authored by Jonathan Warrell
This map shows the geographic impact of Jonathan Warrell'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 Jonathan Warrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Warrell more than expected).
Fields of papers citing papers by Jonathan Warrell
This network shows the impact of papers produced by Jonathan Warrell. 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 Jonathan Warrell. The network helps show where Jonathan Warrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Warrell, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Efficient Salient Region Detection with Soft Image Abstraction Hit paper breakdown → | 2013 | 414 |
| 2 | 2008 | 291 | |
| 3 | 2008 | 136 | |
| 4 | 2019 | 108 | |
| 5 | 2020 | 97 | |
| 6 | 2013 | 76 | |
| 7 | 2011 | 72 | |
| 8 | 2011 | 66 | |
| 9 | 2010 | 54 | |
| 10 | 2014 | 45 | |
| 11 | 2021 | 36 | |
| 12 | 2014 | 33 | |
| 13 | 2022 | 28 | |
| 14 | 2009 | 27 | |
| 15 | 2009 | 24 | |
| 16 | 2021 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2009 | 19 | |
| 19 | 2011 | 18 | |
| 20 | 2012 | 16 |
About Jonathan Warrell
Jonathan Warrell is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Aerospace Engineering and Cancer Research, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (9 papers), RNA Research and Splicing (5 papers), Medical Image Segmentation Techniques (4 papers), Single-cell and spatial transcriptomics (4 papers), Image Retrieval and Classification Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Sensory Systems (166 citations), Media Technology (178 citations), Cancer Research (160 citations) and Geology (39 citations). Jonathan Warrell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Simon J. D. Prince, Vibhav Vineet, Alastair Moore, Ming‐Ming Cheng, Shuai Zheng, Nigel Crook, Wen-Yan Lin, Graham Jones, Fatima M. Felisberti and James H. Elder. Their work appears in journals such as Nature Communications, PLoS ONE, Bioinformatics, Clinical Cancer Research and Modern Pathology.
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.