Scott Doyle

3.7k total citations
87 papers, 2.8k citations indexed

About

Scott Doyle is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Scott Doyle has authored 87 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Scott Doyle's work include AI in cancer detection (33 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Digital Imaging for Blood Diseases (10 papers). Scott Doyle is often cited by papers focused on AI in cancer detection (33 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Digital Imaging for Blood Diseases (10 papers). Scott Doyle collaborates with scholars based in United States, United Kingdom and Canada. Scott Doyle's co-authors include Anant Madabhushi, Michael D. Feldman, John Tomaszewski, Shannon C. Agner, Jean Stockard, Marc Schlossberg, John Tomaszeweski, Mark Speakman, Christos V. Ioannou and Roger Kirby and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Journal of Allergy and Clinical Immunology.

In The Last Decade

Scott Doyle

83 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Doyle United States 26 1.3k 757 656 501 286 87 2.8k
Arunachalam Narayanaswamy United States 12 1.2k 1.0× 852 1.1× 3.0k 4.5× 365 0.7× 6 0.0× 15 5.3k
Richard J. Chen United States 24 1.6k 1.3× 536 0.7× 1.2k 1.8× 201 0.4× 5 0.0× 51 3.8k
Faisal Mahmood United States 24 1.9k 1.5× 683 0.9× 1.3k 2.1× 203 0.4× 5 0.0× 78 3.5k
Ming Y. Lu United States 33 1.5k 1.2× 433 0.6× 1.4k 2.1× 235 0.5× 4 0.0× 76 4.7k
Jens Kleesiek Germany 21 503 0.4× 501 0.7× 994 1.5× 385 0.8× 4 0.0× 107 2.3k
Derek Wu Canada 9 1.2k 1.0× 774 1.0× 3.2k 4.8× 394 0.8× 4 0.0× 18 5.1k
Lisa Tang Canada 19 168 0.1× 262 0.3× 247 0.4× 103 0.2× 23 0.1× 49 1.2k
T. Madams United States 3 1.1k 0.9× 716 0.9× 2.8k 4.2× 352 0.7× 3 0.0× 6 4.5k
Kasumi Widner United States 4 1.2k 1.0× 806 1.1× 3.2k 4.9× 363 0.7× 3 0.0× 7 5.1k
Jorge Cuadros United States 14 1.2k 0.9× 836 1.1× 3.5k 5.3× 367 0.7× 3 0.0× 32 5.3k

Countries citing papers authored by Scott Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Scott Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Doyle

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Doyle. A scholar is included among the top collaborators of Scott Doyle 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 Scott Doyle. Scott Doyle 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.
Brandwein‐Weber, Margaret, et al.. (2024). Federated learning in computational pathology: classification of tall cell patterns in papillary thyroid carcinoma. 28–28. 1 indexed citations
2.
Sunder, Sunitha Shyam, Scott Doyle, Ciprian N. Ionita, et al.. (2024). Differential cardiac impacts of hematological malignancies and solid tumors: a histopathological and biomarker study. Cardio-Oncology. 10(1). 90–90. 3 indexed citations
3.
Lewis, Steven, et al.. (2023). The role of anatomical context in soft‐tissue multi‐organ segmentation of cadaveric non‐contrast‐enhanced whole body CT. Medical Physics. 50(8). 5061–5074. 2 indexed citations
4.
Doyle, Scott, et al.. (2023). Advancing finite element analysis of osteological structures in biomedical research. 48–48. 1 indexed citations
5.
Lewis, Steven, et al.. (2023). Developing Patient-Specific Statistical Reconstructions of Healthy Anatomical Structures to Improve Patient Outcomes. Bioengineering. 10(2). 123–123. 4 indexed citations
6.
Lewis, Steven, et al.. (2023). Pelvic Floor Pressures Differ Based on Location in the Pelvis and Body Position: A Cadaver Mode. Bioengineering. 10(3). 329–329.
7.
Doyle, Scott, et al.. (2023). Advancing Osteoporosis Evaluation Procedures: Detailed Computational Analysis of Regional Structural Vulnerabilities in Osteoporotic Bone. Journal of Personalized Medicine. 13(2). 321–321. 3 indexed citations
8.
Doyle, Scott, et al.. (2021). Sleep and occupational well-being in active duty special operations soldiers: A replication and expansion. Sleep Health. 7(4). 500–503. 6 indexed citations
9.
10.
Whitney, Jon, Germán Corredor, Andrew Janowczyk, et al.. (2018). Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. BMC Cancer. 18(1). 610–610. 74 indexed citations
11.
Gunsoy, Necdet B., Sarah Cockle, Linda Nelsen, Frank C. Albers, & Scott Doyle. (2016). Association Between Eq-5d And Changes in Asthma Symptoms, Severity, and Qol In Patients With Severe Eosinophilic Asthma. Value in Health. 19(7). A558–A558. 2 indexed citations
12.
Gürcan, Metin N., John Tomaszewski, James A. Overton, et al.. (2016). Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. Journal of Biomedical Informatics. 66. 129–135. 14 indexed citations
13.
Sridhar, Akshay, Scott Doyle, & Anant Madabhushi. (2015). Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces. Journal of Pathology Informatics. 6(1). 41–41. 20 indexed citations
14.
Ballinger, Rachel, et al.. (2014). Impact of Non-Consented Switch and Subsequent Switch in Asthma Medication: Qualitative Study of Patient Perspective in the UK. Value in Health. 17(7). A602–A602. 1 indexed citations
15.
Doyle, Scott, Andrew Lloyd, Julie Birt, et al.. (2012). Willingness to Pay for Obesity Pharmacotherapy. Obesity. 20(10). 2019–2026. 19 indexed citations
16.
Doyle, Scott. (2010). One-stop shopping for international medical graduates. Canadian Medical Association Journal. 182(15). 1608–1608. 3 indexed citations
17.
Doyle, Scott, Andrew Lloyd, & Mel Walker. (2008). Health state utility scores in advanced non-small cell lung cancer. Lung Cancer. 62(3). 374–380. 96 indexed citations
18.
Lloyd, Andrew, et al.. (2007). Preferences and utilities for the symptoms of moderate to severe allergic asthma. The European Journal of Health Economics. 9(3). 275–284. 16 indexed citations
19.
Doyle, Scott, Anant Madabhushi, Michael D. Feldman, & John Tomaszeweski. (2006). A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. Lecture notes in computer science. 9(Pt 2). 504–511. 85 indexed citations
20.
Tubbs, R. Shane, Scott Doyle, Michael J. Conklin, & W. Jerry Oakes. (2006). Scoliosis in a child with Chiari I malformation and the absence of syringomyelia: case report and a review of the literature. Child s Nervous System. 22(10). 1351–1354. 30 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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