Chris G. Willcocks
Impact in
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- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Medical Image Segmentation Techniques 5
- Generative Adversarial Networks and Image Synthesis 5
- Advanced Neural Network Applications 3
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- Retinal Imaging and Analysis 3
- COVID-19 diagnosis using AI 2
- Co-authors
- Toby P. Breckon (6 shared papers)Mikolaj Kundegorski (1 shared paper)Samet Akçay (1 shared paper)Sebastian M. Schmon (1 shared paper)Yang Long (1 shared paper)Hubert P. H. Shum (3 shared papers)Venkata Krishnan Ramaswamy (1 shared paper)Matteo T. Degiacomi (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)The Visual Computer (2 papers)Physical Review X (1 paper)IEEE Transactions on Medical Imaging (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)
- Partner nations
- United KingdomSaudi ArabiaSwitzerland
In The Last Decade
Chris G. Willcocks
20 papers receiving 608 citations
Chris G. Willcocks's Hit Papers
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 319
- Computer Graphics and Computer-Aided Design 29
- Artificial Intelligence 232
- Radiology, Nuclear Medicine and Imaging 153
- Industrial and Manufacturing Engineering 54
Countries citing papers authored by Chris G. Willcocks
This map shows the geographic impact of Chris G. Willcocks'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 Chris G. Willcocks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris G. Willcocks more than expected).
Fields of papers citing papers by Chris G. Willcocks
This network shows the impact of papers produced by Chris G. Willcocks. 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 Chris G. Willcocks. The network helps show where Chris G. Willcocks may publish in the future.
Co-authors
The 23 scholars most cited alongside Chris G. Willcocks, 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 | 2018 | 237 | |
| 2 | AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise Hit paper breakdown → | 2022 | 164 |
| 3 | 2022 | 43 | |
| 4 | 2021 | 34 | |
| 5 | 2023 | 31 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 21 | |
| 8 | 2017 | 16 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2012 | 8 | |
| 14 | 2024 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2019 | 1 |
About Chris G. Willcocks
Chris G. Willcocks is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Ophthalmology, having authored 20 papers that have together received 627 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Neural Network Applications (3 papers), Retinal Imaging and Analysis (3 papers), Computer Graphics and Visualization Techniques (3 papers), COVID-19 diagnosis using AI (2 papers), Glaucoma and retinal disorders (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (319 citations), Computer Graphics and Computer-Aided Design (29 citations), Artificial Intelligence (232 citations), Radiology, Nuclear Medicine and Imaging (153 citations) and Industrial and Manufacturing Engineering (54 citations). Chris G. Willcocks has collaborated with scholars based in United Kingdom, Saudi Arabia and Switzerland. Frequent co-authors include Toby P. Breckon, Mikolaj Kundegorski, Samet Akçay, Sebastian M. Schmon, Yang Long, Hubert P. H. Shum, Venkata Krishnan Ramaswamy, Matteo T. Degiacomi, Bogusław Obara and Shidong Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Visual Computer, Physical Review X, IEEE Transactions on Medical Imaging and IEEE Transactions on Information Forensics and Security.
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.