Tracy O’Regan

482 total citations
18 papers, 259 citations indexed

About

Tracy O’Regan is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Biomedical Engineering. According to data from OpenAlex, Tracy O’Regan has authored 18 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Health Informatics and 5 papers in Biomedical Engineering. Recurrent topics in Tracy O’Regan's work include Artificial Intelligence in Healthcare and Education (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Radiology practices and education (8 papers). Tracy O’Regan is often cited by papers focused on Artificial Intelligence in Healthcare and Education (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Radiology practices and education (8 papers). Tracy O’Regan collaborates with scholars based in United Kingdom, Ireland and Greece. Tracy O’Regan's co-authors include Christina Malamateniou, Sonyia McFadden, Emily Skelton, Jacqueline Matthew, Kwun-Ye Chu, N. Woznitza, Ciara Hughes, Jonathan McConnell, Raymond Bond and Nikolaos Stogiannos and has published in prestigious journals such as The Gerontologist, International Journal of Medical Informatics and Clinical Radiology.

In The Last Decade

Tracy O’Regan

17 papers receiving 254 citations

Peers

Tracy O’Regan
Hanzhou Li United States
Ashik Amlani United Kingdom
Anna Theresa Stüber Germany
Andreas Mittermeier Germany
Keerthini Muthuswamy United Kingdom
Ameena Elahi United States
Yuri Yin‐Moe Aung United Kingdom
Henry David Jeffry Hogg United Kingdom
Johanna Topalis Germany
Katharina Jeblick Germany
Hanzhou Li United States
Tracy O’Regan
Citations per year, relative to Tracy O’Regan Tracy O’Regan (= 1×) peers Hanzhou Li

Countries citing papers authored by Tracy O’Regan

Since Specialization
Citations

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

Fields of papers citing papers by Tracy O’Regan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy O’Regan. 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 Tracy O’Regan. The network helps show where Tracy O’Regan may publish in the future.

Co-authorship network of co-authors of Tracy O’Regan

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

All Works

18 of 18 papers shown
1.
Beasley, Matthew, Jonathan McConnell, Tracy O’Regan, et al.. (2025). Research culture, barriers and facilitators within the radiography workforce in the UK – results of a national survey. Radiography. 31(4). 102959–102959. 1 indexed citations
2.
Ramsay, Angus I. G., Nadia Crellin, R. C. Lawrence, et al.. (2025). Procurement and early deployment of artificial intelligence tools for chest diagnostics in NHS services in England: a rapid, mixed method evaluation. EClinicalMedicine. 89. 103481–103481.
3.
Lawrence, R. C., Efthalia Massou, Chris Sherlaw‐Johnson, et al.. (2025). Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review. EClinicalMedicine. 83. 103228–103228. 5 indexed citations
4.
Stogiannos, Nikolaos, Tracy O’Regan, Erica Scurr, et al.. (2024). AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers. Radiography. 30(2). 612–621. 13 indexed citations
5.
6.
Stogiannos, Nikolaos, Tracy O’Regan, Erica Scurr, et al.. (2024). Lessons on AI implementation from senior clinical practitioners: An exploratory qualitative study in medical imaging and radiotherapy in the UK. Journal of medical imaging and radiation sciences. 56(1). 101797–101797. 6 indexed citations
7.
Stogiannos, Nikolaos, Lia Litosseliti, Tracy O’Regan, et al.. (2024). Black box no more: A cross-sectional multi-disciplinary survey for exploring governance and guiding adoption of AI in medical imaging and radiotherapy in the UK. International Journal of Medical Informatics. 186. 105423–105423. 12 indexed citations
8.
Stogiannos, Nikolaos, Karen Cleaver, J.P. McNulty, et al.. (2023). Toward Autism-Friendly Magnetic Resonance Imaging: Exploring Autistic Individuals' Experiences of Magnetic Resonance Imaging Scans in the United Kingdom, a Cross-Sectional Survey. Autism in Adulthood. 5(3). 248–262. 14 indexed citations
9.
Walsh, G., Nikolaos Stogiannos, Winnie Tam, et al.. (2023). Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe. BJR|Open. 5(1). 20230033–20230033. 22 indexed citations
10.
O’Regan, Tracy, Jacqueline Matthew, Emily Skelton, et al.. (2022). UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments. Radiography. 28(4). 881–888. 25 indexed citations
11.
O’Regan, Tracy, Jacqueline Matthew, Emily Skelton, et al.. (2022). An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey. Journal of medical imaging and radiation sciences. 53(3). 347–361. 19 indexed citations
12.
Rodrigues, Jonathan, Tracy O’Regan, Angela Darekar, Stuart A. Taylor, & Vicky Goh. (2022). Current pressure on the UK imaging workforce deters imaging research in the NHS and requires urgent attention. Clinical Radiology. 77(12). 913–919. 5 indexed citations
13.
Malamateniou, Christina, Sonyia McFadden, Yasmin McQuinlan, et al.. (2021). Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography. 27(4). 1192–1202. 40 indexed citations
14.
15.
Harris, M., et al.. (2021). The College of Radiographers Research Strategy for the next five years. Radiography. 27. S5–S8. 7 indexed citations
16.
O’Regan, Tracy, et al.. (2019). A review of visual ethnography: Radiography viewed through a different lens. Radiography. 25. S9–S13. 10 indexed citations
17.
Harris, Joanne, et al.. (2018). Values-based practice (VBP) training for radiographers.. University of Derby Online Research Archive. (University of Derby). 4 indexed citations
18.
Black, Erik W., et al.. (2009). Moving Forward: Evaluating a Curriculum for Managing Responsive Behaviors in a Geriatric Psychiatry Inpatient Population. The Gerontologist. 49(4). 570–576. 19 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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