Ralph Highnam
Impact in
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- Digital Radiography and Breast Imaging
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Infrared Thermography in Medicine
Papers in
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- Digital Radiography and Breast Imaging 48
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- AI in cancer detection 45
- Co-authors
- Michael Brady (25 shared papers)B. J. Shepstone (11 shared papers)Ruth Warren (14 shared papers)J. Michael Brady (8 shared papers)Martin J. Yaffe (3 shared papers)Mona Jeffreys (7 shared papers)Jennifer A. Harvey (3 shared papers)George Davey Smith (5 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (3 papers)Cancer Epidemiology Biomarkers & Prevention (3 papers)British Journal of Radiology (3 papers)Medical Image Analysis (3 papers)European Journal of Radiology (3 papers)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Ralph Highnam
77 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 83
- Pulmonary and Respiratory Medicine 1.2k
- Radiology, Nuclear Medicine and Imaging 656
- Artificial Intelligence 934
- Computer Vision and Pattern Recognition 398
- Oncology 289
Countries citing papers authored by Ralph Highnam
This map shows the geographic impact of Ralph Highnam'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 Ralph Highnam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Highnam more than expected).
Fields of papers citing papers by Ralph Highnam
This network shows the impact of papers produced by Ralph Highnam. 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 Ralph Highnam. The network helps show where Ralph Highnam may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralph Highnam, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 178 | |
| 2 | 2010 | 168 | |
| 3 | 1997 | 165 | |
| 4 | Robust breast composition measurement - Volpara™ | 2010 | 92 |
| 5 | 1996 | 91 | |
| 6 | 2010 | 78 | |
| 7 | 2001 | 70 | |
| 8 | 2016 | 67 | |
| 9 | 2006 | 65 | |
| 10 | 2008 | 60 | |
| 11 | 2008 | 58 | |
| 12 | 2007 | 56 | |
| 13 | 2014 | 54 | |
| 14 | 2008 | 53 | |
| 15 | 2006 | 49 | |
| 16 | 1997 | 44 | |
| 17 | 2007 | 39 | |
| 18 | 2007 | 39 | |
| 19 | 2010 | 38 | |
| 20 | 2015 | 35 |
About Ralph Highnam
Ralph Highnam is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Oncology, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (48 papers), AI in cancer detection (45 papers), Medical Imaging Techniques and Applications (15 papers), Medical Image Segmentation Techniques (11 papers), Global Cancer Incidence and Screening (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Breast Cancer Treatment Studies (6 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Radiology, Nuclear Medicine and Imaging (656 citations), Artificial Intelligence (934 citations), Computer Vision and Pattern Recognition (398 citations) and Oncology (289 citations). Ralph Highnam has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Michael Brady, B. J. Shepstone, Ruth Warren, J. Michael Brady, Martin J. Yaffe, Mona Jeffreys, Jennifer A. Harvey, George Davey Smith, Sir Michael Brady and Nico Karssemeijer. Their work appears in journals such as IEEE Transactions on Medical Imaging, Cancer Epidemiology Biomarkers & Prevention, British Journal of Radiology, Medical Image Analysis and European Journal of Radiology.
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.