Scott Doyle
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Transportation top 2%
- Urban Transport and Accessibility
Papers in
-
- AI in cancer detection 31
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- Medical Image Segmentation Techniques 9
- Digital Imaging for Blood Diseases 8
- Image Retrieval and Classification Techniques 5
- Co-authors
- Anant Madabhushi (24 shared papers)Michael D. Feldman (12 shared papers)John Tomaszewski (12 shared papers)Shannon C. Agner (4 shared papers)Marc Schlossberg (2 shared papers)Jean Stockard (2 shared papers)John Tomaszeweski (4 shared papers)Roger Kirby (1 shared paper)
- Journals
- Value in Health (4 papers)Journal of Pathology Informatics (3 papers)Journal of Pediatric Orthopaedics (2 papers)The Laryngoscope (2 papers)British Journal of Urology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Scott Doyle
85 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 147
- Biophysics 280
- Transportation 271
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 746
- Urology 163
Countries citing papers authored by Scott Doyle
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
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-authors
The 25 scholars most cited alongside Scott Doyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 260 | |
| 2 | 2006 | 250 | |
| 3 | 2010 | 226 | |
| 4 | 2008 | 217 | |
| 5 | 2014 | 208 | |
| 6 | 2007 | 186 | |
| 7 | 2018 | 160 | |
| 8 | 2004 | 127 | |
| 9 | 2011 | 105 | |
| 10 | 2008 | 96 | |
| 11 | 2006 | 91 | |
| 12 | 2012 | 85 | |
| 13 | 2003 | 84 | |
| 14 | 2018 | 78 | |
| 15 | 2011 | 56 | |
| 16 | 2018 | 52 | |
| 17 | 2010 | 51 | |
| 18 | 2016 | 47 | |
| 19 | 2004 | 37 | |
| 20 | 2009 | 36 |
About Scott Doyle
Scott Doyle is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 89 papers that have together received 3.0k indexed citations. Recurring topics across this work include AI in cancer detection (31 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Medical Image Segmentation Techniques (9 papers), Digital Imaging for Blood Diseases (8 papers), Gene expression and cancer classification (7 papers), Medical Imaging and Analysis (6 papers), Asthma and respiratory diseases (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Biophysics (280 citations), Transportation (271 citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (746 citations) and Urology (163 citations). Scott Doyle has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Anant Madabhushi, Michael D. Feldman, John Tomaszewski, Shannon C. Agner, Marc Schlossberg, Jean Stockard, John Tomaszeweski, Roger Kirby, Mark Speakman and Christos V. Ioannou. Their work appears in journals such as Value in Health, Journal of Pathology Informatics, Journal of Pediatric Orthopaedics, The Laryngoscope and British Journal of Urology.
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.