Brendan S. Kelly

1.4k total citations
41 papers, 614 citations indexed

About

Brendan S. Kelly is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Biomedical Engineering. According to data from OpenAlex, Brendan S. Kelly has authored 41 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Health Informatics and 10 papers in Biomedical Engineering. Recurrent topics in Brendan S. Kelly's work include Artificial Intelligence in Healthcare and Education (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Radiology practices and education (5 papers). Brendan S. Kelly is often cited by papers focused on Artificial Intelligence in Healthcare and Education (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Radiology practices and education (5 papers). Brendan S. Kelly collaborates with scholars based in Ireland, United States and United Kingdom. Brendan S. Kelly's co-authors include Eoin C. Kavanagh, Gerard M. Healy, Louise Rainford, Ronan P. Killeen, Aonghus Lawlor, Kristen W. Yeom, Eric Heffernan, Ciaran E. Redmond, Hugh McKenna and Conor Judge and has published in prestigious journals such as Radiology, The Journal of Pediatrics and American Journal of Roentgenology.

In The Last Decade

Brendan S. Kelly

35 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brendan S. Kelly Ireland 11 221 115 107 78 76 41 614
Geraldine McGinty United States 18 456 2.1× 250 2.2× 54 0.5× 75 1.0× 79 1.0× 58 1.1k
Michael K. Rooney United States 12 108 0.5× 184 1.6× 65 0.6× 37 0.5× 92 1.2× 71 708
Christine Bennett Australia 12 190 0.9× 282 2.5× 136 1.3× 83 1.1× 57 0.8× 24 911
Alison Chetlen United States 16 346 1.6× 157 1.4× 27 0.3× 40 0.5× 89 1.2× 59 776
Megha Garg United States 12 152 0.7× 175 1.5× 27 0.3× 89 1.1× 26 0.3× 34 624
Ciaran Grafton‐Clarke United Kingdom 13 113 0.5× 50 0.4× 116 1.1× 43 0.6× 121 1.6× 51 646
Edward S. Lee United States 14 98 0.4× 96 0.8× 107 1.0× 24 0.3× 100 1.3× 54 789
Aashish Rajesh United States 16 77 0.3× 55 0.5× 133 1.2× 67 0.9× 228 3.0× 67 753
Amirali Karimi Iran 18 70 0.3× 83 0.7× 24 0.2× 38 0.5× 69 0.9× 61 1.1k
Thomas F Heston United States 12 168 0.8× 39 0.3× 98 0.9× 34 0.4× 48 0.6× 49 513

Countries citing papers authored by Brendan S. Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Brendan S. Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brendan S. Kelly. 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 Brendan S. Kelly. The network helps show where Brendan S. Kelly may publish in the future.

Co-authorship network of co-authors of Brendan S. Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Brendan S. Kelly. A scholar is included among the top collaborators of Brendan S. Kelly 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 Brendan S. Kelly. Brendan S. Kelly 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.
Kapur, Jeevesh, et al.. (2026). A modern radiologist’s guide to artificial intelligence. Pediatric Radiology.
2.
Kelly, Brendan S., et al.. (2025). Safe for kids? AI medical devices in radiology overlook paediatric suitability. European Radiology. 36(3). 2083–2090. 4 indexed citations
3.
Howard, Jane, Cristina Casalou, Brendan S. Kelly, et al.. (2024). Proteomic and metabolomic profiles of plasma-derived Extracellular Vesicles differentiate melanoma patients from healthy controls. Translational Oncology. 50. 102152–102152. 6 indexed citations
4.
Kelly, Brendan S., Prateek Mathur, Sarah Power, et al.. (2024). iSPAN: Explainable prediction of outcomes post thrombectomy with Machine Learning. European Journal of Radiology. 173. 111357–111357. 1 indexed citations
5.
Kelly, Brendan S., Prateek Mathur, Edward H. Lee, et al.. (2024). A Radiomic “Warning Sign” of Progression on Brain MRI in Individuals with MS. American Journal of Neuroradiology. 45(2). 236–243. 4 indexed citations
6.
Kelly, Brendan S., et al.. (2023). Using deep learning–derived image features in radiologic time series to make personalised predictions: proof of concept in colonic transit data. European Radiology. 33(11). 8376–8386. 3 indexed citations
7.
Kelly, Brendan S., Huy M., Yuhao Huang, et al.. (2023). DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy. European Radiology. 33(8). 5728–5739. 6 indexed citations
8.
9.
Kelly, Brendan S., Conor Judge, Gerard M. Healy, et al.. (2022). Correction to: Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE). European Radiology. 32(11). 8054–8054. 8 indexed citations
10.
Kelly, Brendan S., Conor Judge, Gerard M. Healy, et al.. (2022). Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE). European Radiology. 32(11). 7998–8007. 130 indexed citations
11.
Tong, Elizabeth, et al.. (2021). Current Perspectives of Artificial Intelligence in Pediatric Neuroradiology: An Overview. PubMed. 1. 713681–713681. 8 indexed citations
12.
Kelly, Brendan S., Conor Judge, Gerard M. Healy, et al.. (2020). Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol. Insights into Imaging. 11(1). 133–133. 10 indexed citations
13.
Allen, Allison, et al.. (2019). Impact of maternal obesity on fetal cardiac screening: which follow‐up strategy is cost‐effective?. Ultrasound in Obstetrics and Gynecology. 56(5). 705–716. 8 indexed citations
14.
Kelly, Brendan S., Louise Rainford, Mark F. McEntee, & Eoin C. Kavanagh. (2017). Influence of radiology expertise on the perception of nonmedical images. Journal of Medical Imaging. 5(3). 1–1. 7 indexed citations
15.
16.
Rainford, Louise, et al.. (2015). Decision Making and Variation in Radiation Exposure Factor Selection by Radiologic Technologists. Journal of medical imaging and radiation sciences. 46(4). 372–379. 5 indexed citations
17.
18.
Rice, Frances, Patrick J. Cullen, Hugh McKenna, et al.. (2007). Clinical supervision for mental health nurses in Northern Ireland: formulating best practice guidelines. Journal of Psychiatric and Mental Health Nursing. 14(5). 516–521. 31 indexed citations
19.
Kelly, Brendan S., A. LONG, & Hugh McKenna. (2001). A survey of community mental health nurses' perceptions of clinical supervision in Northern Ireland. Journal of Psychiatric and Mental Health Nursing. 8(1). 33–44. 33 indexed citations
20.
Kelly, Brendan S.. (1994). The path to quality.. PubMed. 2(4). 22–3. 2 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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