Kevin Wells

1.8k total citations
150 papers, 1.3k citations indexed

About

Kevin Wells is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kevin Wells has authored 150 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Radiology, Nuclear Medicine and Imaging, 50 papers in Radiation and 40 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kevin Wells's work include Medical Imaging Techniques and Applications (82 papers), Advanced Radiotherapy Techniques (29 papers) and Digital Radiography and Breast Imaging (28 papers). Kevin Wells is often cited by papers focused on Medical Imaging Techniques and Applications (82 papers), Advanced Radiotherapy Techniques (29 papers) and Digital Radiography and Breast Imaging (28 papers). Kevin Wells collaborates with scholars based in United Kingdom, United States and Malaysia. Kevin Wells's co-authors include D.A. Bradley, Kenneth C. Young, David R. Dance, Premkumar Elangovan, Alistair Mackenzie, Majdi Alnowami, Oliver Díaz, Emma Lewis, Matthew Guy and John Chiverton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Kevin Wells

136 papers receiving 1.3k citations

Peers

Kevin Wells
P. Oliva Italy
Zhanli Hu China
Jovan G. Brankov United States
Hans Roehrig United States
Dosik Hwang South Korea
Bruce R. Whiting United States
Kevin Wells
Citations per year, relative to Kevin Wells Kevin Wells (= 1×) peers Du‐Yih Tsai

Countries citing papers authored by Kevin Wells

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Wells. A scholar is included among the top collaborators of Kevin Wells 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 Kevin Wells. Kevin Wells 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.
Rusbridge, Clare, et al.. (2025). A data driven approach for soft tissue biomarker identification linked to Chiari-like malformation and syringomyelia. Frontiers in Veterinary Science. 11. 1492259–1492259.
4.
Monica, Ciro della, Giuseppe Atzori, Ullrich Bartsch, et al.. (2024). A Protocol for Evaluating Digital Technology for Monitoring Sleep and Circadian Rhythms in Older People and People Living with Dementia in the Community. SHILAP Revista de lepidopterología. 6(1). 129–155. 8 indexed citations
5.
Bacci, Barbara, Nicholas J. Bacon, Michael J. Dark, et al.. (2024). Keeping Pathologists in the Loop and an Adaptive F1-Score Threshold Method for Mitosis Detection in Canine Perivascular Wall Tumours. Cancers. 16(3). 644–644. 9 indexed citations
6.
Cook, A. J. C., et al.. (2024). Understanding online posts from social media using large language models and topic modelling: challenges faced by women in African farming. IET conference proceedings.. 2024(7). 42–47. 3 indexed citations
9.
Bacci, Barbara, Nicholas J. Bacon, Tawfik Aboellail, et al.. (2022). Deep learning for necrosis detection using canine perivascular wall tumour whole slide images. Scientific Reports. 12(1). 10634–10634. 8 indexed citations
10.
Enshaeifar, Shirin, et al.. (2020). Transfer Learning for Clinical Sleep Pose Detection Using a Single 2D IR Camera. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 290–299. 32 indexed citations
11.
Smith, Rhodri, et al.. (2019). Dense motion propagation from sparse samples. Physics in Medicine and Biology. 64(20). 205023–205023. 4 indexed citations
12.
Elangovan, Premkumar, Alistair Mackenzie, David R. Dance, Kenneth C. Young, & Kevin Wells. (2018). Lesion detectability in 2D-mammography and digital breast tomosynthesis using different targets and observers. Physics in Medicine and Biology. 63(9). 95014–95014. 12 indexed citations
13.
Elangovan, Premkumar, et al.. (2018). The threshold detectable mass diameter for 2D-mammography and digital breast tomosynthesis. Physica Medica. 57. 25–32. 20 indexed citations
14.
Tirunagari, Santosh, et al.. (2017). Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. Machine Vision and Applications. 28(3-4). 393–407. 12 indexed citations
15.
Elangovan, Premkumar, Alistair Mackenzie, David R. Dance, et al.. (2017). Design and validation of realistic breast models for use in multiple alternative forced choice virtual clinical trials. Physics in Medicine and Biology. 62(7). 2778–2794. 33 indexed citations
16.
Gupta, Praveena, et al.. (2014). Depth Resolved Differences After Corneal Crosslinking With and Without Epithelial Debridement Using Multimodal Imaging. Translational Vision Science & Technology. 3(4). 5–5. 7 indexed citations
17.
Mackenzie, Alistair, et al.. (2012). Conversion of mammographic images to appear with the noise and sharpness characteristics of a different detector and x‐ray system. Medical Physics. 39(5). 2721–2734. 45 indexed citations
18.
Chiverton, John & Kevin Wells. (2008). Adaptive partial volume classification of MRI data. Physics in Medicine and Biology. 53(20). 5577–5594. 7 indexed citations
19.
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
20.
Charpak, G., D.C. Imrie, J. Jeanjean, et al.. (1989). A new approach to positron emission tomography. European Journal of Nuclear Medicine and Molecular Imaging. 15(11). 690–693. 9 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.

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