John Chiverton

709 total citations
33 papers, 406 citations indexed

About

John Chiverton is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, John Chiverton has authored 33 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in John Chiverton's work include Medical Imaging Techniques and Applications (7 papers), Video Surveillance and Tracking Methods (7 papers) and Medical Image Segmentation Techniques (6 papers). John Chiverton is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Video Surveillance and Tracking Methods (7 papers) and Medical Image Segmentation Techniques (6 papers). John Chiverton collaborates with scholars based in United Kingdom, Italy and Thailand. John Chiverton's co-authors include David Ndzi, Kevin Wells, Mateusz Marzec, Katarzyna Berent, Andrzej Bernasik, Marcin Gajek, Joanna Knapczyk‐Korczak, Urszula Stachewicz, Daniel P. Ura and Emma Lewis and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Transactions on Image Processing and Physics in Medicine and Biology.

In The Last Decade

John Chiverton

30 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Chiverton United Kingdom 10 185 74 70 44 39 33 406
Shuai Ma China 15 155 0.8× 88 1.2× 43 0.6× 75 1.7× 35 0.9× 56 542
Huizhong Liu China 10 186 1.0× 49 0.7× 30 0.4× 8 0.2× 66 1.7× 24 466
Quan Qi China 10 42 0.2× 67 0.9× 50 0.7× 11 0.3× 24 0.6× 44 399
Baojun Li China 14 63 0.3× 79 1.1× 25 0.4× 10 0.2× 14 0.4× 43 445
Baochang Zhang China 14 141 0.8× 135 1.8× 134 1.9× 4 0.1× 29 0.7× 34 653
Xiaohui Zhu China 12 127 0.7× 44 0.6× 52 0.7× 9 0.2× 17 0.4× 71 553
Yongcun Guo China 15 150 0.8× 96 1.3× 39 0.6× 11 0.3× 37 0.9× 53 486
Zehao Yu China 10 389 2.1× 60 0.8× 75 1.1× 2 0.0× 54 1.4× 32 695
Xiaoyang Wu China 11 183 1.0× 52 0.7× 60 0.9× 2 0.0× 22 0.6× 31 441

Countries citing papers authored by John Chiverton

Since Specialization
Citations

This map shows the geographic impact of John Chiverton'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 Chiverton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chiverton more than expected).

Fields of papers citing papers by John Chiverton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Chiverton. 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 Chiverton. The network helps show where John Chiverton may publish in the future.

Co-authorship network of co-authors of John Chiverton

This figure shows the co-authorship network connecting the top 25 collaborators of John Chiverton. A scholar is included among the top collaborators of John Chiverton 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 John Chiverton. John Chiverton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ahmed, Ahmed, et al.. (2021). Machine Learning based Speaker Gender Classification using Transformed Features. The UWS Academic Portal (University of the West of Scotland). 6. 13–18. 1 indexed citations
2.
Chiverton, John, et al.. (2021). Vision Based Dynamic Thermal Comfort Control Using Fuzzy Logic and Deep Learning. Applied Sciences. 11(10). 4626–4626. 14 indexed citations
3.
Chiverton, John, et al.. (2019). Speaker recognition using PCA-based feature transformation. Speech Communication. 110. 33–46. 17 indexed citations
4.
Chiverton, John, et al.. (2019). Deep Learning of Fuzzy Weighted Multi-Resolution Depth Motion Maps with Spatial Feature Fusion for Action Recognition. Journal of Imaging. 5(10). 82–82. 7 indexed citations
5.
Knapczyk‐Korczak, Joanna, Daniel P. Ura, Marcin Gajek, et al.. (2019). Fiber-Based Composite Meshes with Controlled Mechanical and Wetting Properties for Water Harvesting. ACS Applied Materials & Interfaces. 12(1). 1665–1676. 68 indexed citations
6.
Zhang, Lining, Rinat Khusainov, & John Chiverton. (2018). Practical action recognition with manifold regularized sparse representation. British Machine Vision Conference. 315. 1 indexed citations
7.
Chiverton, John, et al.. (2017). Multiscale Shannon’s Entropy Modeling of Orientation and Distance in Steel Fiber Micro-Tomography Data. IEEE Transactions on Image Processing. 26(11). 5284–5297. 7 indexed citations
8.
Chiverton, John, et al.. (2017). Appearance and Motion Information based Human Activity recognition. Portsmouth Research Portal (University of Portsmouth). 2 (6 .)–2 (6 .). 2 indexed citations
9.
Barnett, S. J., et al.. (2017). Effects of steel fibre-aggregate interaction on mechanical behaviour of steel fibre reinforced concrete. Advances in Applied Ceramics Structural Functional and Bioceramics. 116(4). 193–198. 11 indexed citations
10.
Chiverton, John, et al.. (2017). Channel Variability Synthesis in i-vector Speaker Recognition. Portsmouth Research Portal (University of Portsmouth). 17 (6 .)–17 (6 .). 1 indexed citations
11.
Chiverton, John, et al.. (2017). The Optimization of Wideband Cyclostationary Feature Detector with Receiver Constraints. Portsmouth Research Portal (University of Portsmouth). 8 (6 .)–8 (6 .). 1 indexed citations
12.
Chiverton, John, Jérôme Micheletta, & Bridget M. Waller. (2015). Detecting and Tracking Bottoms and Faces of the Crested Black Macaque in the Wild. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 9.1–9.8. 1 indexed citations
13.
Chiverton, John, Xianghua Xie, & Majid Mirmehdi. (2011). Automatic Bootstrapping and Tracking of Object Contours. IEEE Transactions on Image Processing. 21(3). 1231–1245. 13 indexed citations
14.
Chiverton, John, Majid Mirmehdi, & Xianghua Xie. (2009). On-line Learning of Shape Information for Object Segmentation and Tracking. Cronfa (Swansea University). 21.1–21.11. 5 indexed citations
15.
Chiverton, John & Kevin Wells. (2008). Adaptive partial volume classification of MRI data. Physics in Medicine and Biology. 53(20). 5577–5594. 7 indexed citations
16.
Chiverton, John, Xianghua Xie, & Majid Mirmehdi. (2008). Tracking with Active Contours Using Dynamically Updated Shape Information. Cronfa (Swansea University). 26.1–26.10. 1 indexed citations
17.
Wells, Kevin, et al.. (2007). Quantifying the Partial Volume Effect in PET Using Benford's Law. IEEE Transactions on Nuclear Science. 54(5). 1616–1625. 4 indexed citations
18.
Chiverton, John, et al.. (2006). Statistical morphological skull stripping of adult and infant MRI data. Computers in Biology and Medicine. 37(3). 342–357. 40 indexed citations
19.
Chiverton, John, et al.. (2006). Partial Volume correction for Image-generated Arterial Input Functions. 2006 IEEE Nuclear Science Symposium Conference Record. 49. 2091–2094. 1 indexed citations
20.
Chiverton, John, et al.. (2005). Fully Automatic Skull Stripping of Routine Clinical Neurological NMR Data. IEEE Symposium Conference Record Nuclear Science 2004.. 4. 2669–2673. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shuai Ma Breakdown of academic impact, for papers by Huizhong Liu Breakdown of academic impact, for papers by Quan Qi Breakdown of academic impact, for papers by Baojun Li Breakdown of academic impact, for papers by Baochang Zhang Breakdown of academic impact, for papers by Xiaohui Zhu Breakdown of academic impact, for papers by Yongcun Guo Breakdown of academic impact, for papers by Zehao Yu Breakdown of academic impact, for papers by Xiaoyang Wu
Rankless by CCL
2026