Warren Reed
Impact in
- Family Practice top 5%
- Health Informatics top 5%
Papers in
-
- Radiology practices and education 27
- Radiation Dose and Imaging 13
- Radiomics and Machine Learning in Medical Imaging 7
- Cardiac Imaging and Diagnostics 4
-
- Digital Radiography and Breast Imaging 19
- Co-authors
- Patrick Brennan (41 shared papers)Mark F. McEntee (15 shared papers)Peter Kench (11 shared papers)V.C. Gibson (2 shared papers)Ziba Gandomkar (11 shared papers)David J. Williams (1 shared paper)Andrew J. P. White (1 shared paper)Duncan F. Wass (1 shared paper)
- Journals
- Academic Radiology (7 papers)British Journal of Radiology (6 papers)Clinical Radiology (3 papers)Radiology (3 papers)Chemical Communications (2 papers)
- Partner nations
- AustraliaMalaysiaUnited Kingdom
In The Last Decade
Warren Reed
98 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 134
- Family Practice 34
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 319
- Process Chemistry and Technology 42
- Oncology 155
Countries citing papers authored by Warren Reed
This map shows the geographic impact of Warren Reed'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 Warren Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren Reed more than expected).
Fields of papers citing papers by Warren Reed
This network shows the impact of papers produced by Warren Reed. 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 Warren Reed. The network helps show where Warren Reed may publish in the future.
Co-authors
The 25 scholars most cited alongside Warren Reed, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 110 | |
| 2 | 2013 | 85 | |
| 3 | 1999 | 67 | |
| 4 | 2011 | 61 | |
| 5 | 1998 | 59 | |
| 6 | 2023 | 52 | |
| 7 | 2018 | 38 | |
| 8 | 2013 | 38 | |
| 9 | 2018 | 37 | |
| 10 | 2010 | 35 | |
| 11 | 2010 | 32 | |
| 12 | 2015 | 29 | |
| 13 | 2015 | 24 | |
| 14 | 2012 | 22 | |
| 15 | 1998 | 20 | |
| 16 | 2014 | 20 | |
| 17 | 2013 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2020 | 16 |
About Warren Reed
Warren Reed is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence and Surgery, having authored 103 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiology practices and education (27 papers), AI in cancer detection (20 papers), Digital Radiography and Breast Imaging (19 papers), Global Cancer Incidence and Screening (18 papers), Radiation Dose and Imaging (13 papers), Colorectal Cancer Screening and Detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cardiac Imaging and Diagnostics (4 papers). The work is most often cited by research in Family Practice (34 citations), Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (319 citations), Process Chemistry and Technology (42 citations) and Oncology (155 citations). Warren Reed has collaborated with scholars based in Australia, Malaysia and United Kingdom. Frequent co-authors include Patrick Brennan, Mark F. McEntee, Peter Kench, V.C. Gibson, Ziba Gandomkar, David J. Williams, Andrew J. P. White, Duncan F. Wass, Robert Heard and Rachel K. O’Reilly. Their work appears in journals such as Academic Radiology, British Journal of Radiology, Clinical Radiology, Radiology and Chemical Communications.
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.