Bill Cassidy

869 total citations
15 papers, 294 citations indexed

About

Bill Cassidy is a scholar working on Endocrinology, Diabetes and Metabolism, Rehabilitation and Occupational Therapy. According to data from OpenAlex, Bill Cassidy has authored 15 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Rehabilitation and 5 papers in Occupational Therapy. Recurrent topics in Bill Cassidy's work include Diabetic Foot Ulcer Assessment and Management (9 papers), Wound Healing and Treatments (6 papers) and Pressure Ulcer Prevention and Management (5 papers). Bill Cassidy is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (9 papers), Wound Healing and Treatments (6 papers) and Pressure Ulcer Prevention and Management (5 papers). Bill Cassidy collaborates with scholars based in United Kingdom, United States and New Zealand. Bill Cassidy's co-authors include Moi Hoon Yap, Connah Kendrick, Joanna Jaworek-Korjakowska, Andrzej Brodzicki, Joseph M Pappachan, Neil D. Reeves, Cornelius James Fernandez, Claire O’Shea, Eibe Frank and Arun G. Maiya and has published in prestigious journals such as JAMA, Scientific Reports and Medical Image Analysis.

In The Last Decade

Bill Cassidy

13 papers receiving 287 citations

Peers

Bill Cassidy
Sameer Razzaq Oleiwi Iraq
Mrinal Kanti Dhar United States
Yash Patel United States
Adel Saleh Spain
Thomas M. Deserno Germany
Shubham Jain United States
Soumya Surath Panda India
Andrés Anaya-Isaza Colombia
Fabián Narváez Colombia
Jianbo Wang China
Sameer Razzaq Oleiwi Iraq
Bill Cassidy
Citations per year, relative to Bill Cassidy Bill Cassidy (= 1×) peers Sameer Razzaq Oleiwi

Countries citing papers authored by Bill Cassidy

Since Specialization
Citations

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

Fields of papers citing papers by Bill Cassidy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bill Cassidy

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

All Works

15 of 15 papers shown
1.
Cassidy, Bill, et al.. (2025). Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation. Scientific Reports. 15(1). 18810–18810. 1 indexed citations
2.
Cassidy, Bill, Connah Kendrick, Neil D. Reeves, et al.. (2025). An enhanced harmonic densely connected hybrid transformer network architecture for chronic wound segmentation utilising multi-colour space tensor merging. Computers in Biology and Medicine. 192(Pt A). 110172–110172. 2 indexed citations
3.
Cassidy, Bill, et al.. (2024). Multi-Colour Space Channel Selection for Improved Chronic Wound Segmentation. 1–5. 1 indexed citations
4.
Yap, Moi Hoon, Connah Kendrick, & Bill Cassidy. (2023). Diabetic Foot Ulcers Grand Challenge. Lecture notes in computer science. 3 indexed citations
5.
Cassidy, Bill, et al.. (2023). Dermoscopic dark corner artifacts removal: Friend or foe?. Computer Methods and Programs in Biomedicine. 244. 107986–107986. 4 indexed citations
6.
Cassidy, Bill, Moi Hoon Yap, Joseph M Pappachan, et al.. (2023). Artificial intelligence for automated detection of diabetic foot ulcers: A real-world proof-of-concept clinical evaluation. Diabetes Research and Clinical Practice. 205. 110951–110951. 19 indexed citations
7.
Cassidy, Bill, et al.. (2023). A Prescription for Americans Dually Eligible for Medicare and Medicaid. JAMA. 330(13). 1221–1221.
8.
Pappachan, Joseph M, et al.. (2022). The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future. World Journal of Diabetes. 13(12). 1131–1139. 25 indexed citations
9.
Cassidy, Bill, et al.. (2022). A Cloud-Based Deep Learning Framework for Remote Detection of Diabetic Foot Ulcers. IEEE Pervasive Computing. 21(2). 78–86. 23 indexed citations
10.
Jaworek-Korjakowska, Joanna, Andrzej Brodzicki, Bill Cassidy, Connah Kendrick, & Moi Hoon Yap. (2021). Interpretability of a Deep Learning Based Approach for the Classification of Skin Lesions into Main Anatomic Body Sites. Cancers. 13(23). 6048–6048. 20 indexed citations
11.
Cassidy, Bill, Connah Kendrick, Andrzej Brodzicki, Joanna Jaworek-Korjakowska, & Moi Hoon Yap. (2021). Analysis of the ISIC image datasets: Usage, benchmarks and recommendations. Medical Image Analysis. 75. 102305–102305. 125 indexed citations
12.
Cassidy, Bill, Neil D. Reeves, Joseph M Pappachan, et al.. (2021). The DFUC 2020 Dataset: Analysis Towards Diabetic Foot Ulcer Detection. touchREVIEWS in Endocrinology. 17(1). 5–5. 55 indexed citations
13.
Cassidy, Bill, Neil D. Reeves, Joseph M Pappachan, et al.. (2021). The DFUC 2020 Dataset: Analysis Towards Diabetic Foot Ulcer Detection. touchREVIEWS in Endocrinology. 1(1). 5–5. 11 indexed citations
14.
Cassidy, Bill, et al.. (2019). Early Screening and Intervention for Students with Dyslexia.. 19(2). 28–32.
15.
Cassidy, Bill, et al.. (2014). Mobile Framework for Cognitive Assessment: Trail Making Test and Reaction Time Test. 700–705. 5 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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2026