John Winn
Impact in
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Visual Attention and Saliency Detection
- Media Technology top 0.05%
Papers in
-
- Advanced Image and Video Retrieval Techniques 20
- Advanced Vision and Imaging 9
- Image Retrieval and Classification Techniques 8
- Advanced Neural Network Applications 7
- Generative Adversarial Networks and Image Synthesis 7
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- Bayesian Modeling and Causal Inference 8
- Gaussian Processes and Bayesian Inference 7
- Machine Learning and Algorithms 7
- Co-authors
- Christopher K. I. Williams (5 shared papers)Andrew Zisserman (5 shared papers)Luc Van Gool (4 shared papers)Mark Everingham (4 shared papers)Antonio Criminisi (17 shared papers)S. M. Ali Eslami (6 shared papers)Chris Bishop (9 shared papers)Jamie Shotton (9 shared papers)
- Journals
- International Journal of Computer Vision (4 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Bioinformatics (2 papers)ACM Transactions on Graphics (2 papers)Nature Protocols (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John Winn
65 papers receiving 25.7k citations
John Winn's Hit Papers
Peers
Comparison fields: 5 of 216
- Computer Vision and Pattern Recognition 18.8k
- Media Technology 2.5k
- Artificial Intelligence 7.2k
- Industrial and Manufacturing Engineering 1.1k
- Aerospace Engineering 2.5k
Countries citing papers authored by John Winn
This map shows the geographic impact of John Winn'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 John Winn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Winn more than expected).
Fields of papers citing papers by John Winn
This network shows the impact of papers produced by John Winn. 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 John Winn. The network helps show where John Winn may publish in the future.
Co-authors
The 25 scholars most cited alongside John Winn, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Pascal Visual Object Classes (VOC) Challenge Hit paper breakdown → | 2009 | 13716 |
| 2 | The Pascal Visual Object Classes Challenge: A Retrospective Hit paper breakdown → | 2014 | 4932 |
| 3 | The Fourth Paradigm: Data-Intensive Scientific Discovery Hit paper breakdown → | 2009 | 1104 |
| 4 | TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation Hit paper breakdown → | 2006 | 901 |
| 5 | TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context Hit paper breakdown → | 2007 | 791 |
| 6 | Object categorization by learned universal visual dictionary Hit paper breakdown → | 2005 | 683 |
| 7 | Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses Hit paper breakdown → | 2012 | 501 |
| 8 | Variational Message Passing Hit paper breakdown → | 2005 | 445 |
| 9 | 2005 | 416 | |
| 10 | 2000 | 356 | |
| 11 | 2010 | 326 | |
| 12 | 2010 | 286 | |
| 13 | 2006 | 207 | |
| 14 | 2007 | 194 | |
| 15 | 2006 | 165 | |
| 16 | 2013 | 132 | |
| 17 | 2007 | 123 | |
| 18 | 2007 | 107 | |
| 19 | 2011 | 106 | |
| 20 | 2007 | 106 |
About John Winn
John Winn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Aerospace Engineering and Genetics, having authored 69 papers that have together received 26.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (20 papers), Advanced Vision and Imaging (9 papers), Bayesian Modeling and Causal Inference (8 papers), Image Retrieval and Classification Techniques (8 papers), Advanced Neural Network Applications (7 papers), Gaussian Processes and Bayesian Inference (7 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Machine Learning and Algorithms (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (18.8k citations), Media Technology (2.5k citations), Artificial Intelligence (7.2k citations), Industrial and Manufacturing Engineering (1.1k citations) and Aerospace Engineering (2.5k citations). John Winn has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Christopher K. I. Williams, Andrew Zisserman, Luc Van Gool, Mark Everingham, Antonio Criminisi, S. M. Ali Eslami, Chris Bishop, Jamie Shotton, Carsten Rother and Iain Buchan. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Bioinformatics, ACM Transactions on Graphics and Nature Protocols.
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.