Warren Reed
Impact in
- Family Practice top 5%
- Health Informatics top 5%
Papers in
-
- Radiology practices and education 35
- Radiation Dose and Imaging 21
- Radiomics and Machine Learning in Medical Imaging 11
- Oncology 32
- Global Cancer Incidence and Screening 28
- Colorectal Cancer Screening and Detection 10
- Co-authors
- Patrick Brennan (41 shared papers)Mark F. McEntee (15 shared papers)Peter Kench (11 shared papers)Robert Heard (4 shared papers)Ziba Gandomkar (11 shared papers)Elaine Ryan (7 shared papers)Roger Bourne (5 shared papers)Mohammad Rawashdeh (6 shared papers)
- Journals
- Academic Radiology (7 papers)British Journal of Radiology (6 papers)Clinical Radiology (3 papers)Radiology (3 papers)Radiation Protection Dosimetry (2 papers)
- Partner nations
- AustraliaUnited StatesMalaysia
In The Last Decade
Warren Reed
93 papers receiving 919 citations
Peers
Comparison fields: 5 of 121
- Family Practice 53
- Health Informatics 31
- Radiology, Nuclear Medicine and Imaging 464
- Oncology 260
- Artificial Intelligence 223
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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 85 | |
| 2 | 2011 | 61 | |
| 3 | 2023 | 45 | |
| 4 | 2013 | 38 | |
| 5 | 2018 | 38 | |
| 6 | 2010 | 35 | |
| 7 | 2018 | 35 | |
| 8 | 2010 | 32 | |
| 9 | 2015 | 29 | |
| 10 | 2015 | 24 | |
| 11 | 2012 | 22 | |
| 12 | 2014 | 20 | |
| 13 | 2013 | 17 | |
| 14 | 2015 | 17 | |
| 15 | 2016 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2020 | 16 | |
| 18 | 1999 | 15 | |
| 19 | 2010 | 15 | |
| 20 | 2013 | 15 |
About Warren Reed
Warren Reed is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Surgery, having authored 98 papers that have together received 949 indexed citations. Recurring topics across this work include Radiology practices and education (35 papers), AI in cancer detection (31 papers), Global Cancer Incidence and Screening (28 papers), Digital Radiography and Breast Imaging (23 papers), Radiation Dose and Imaging (21 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Colorectal Cancer Screening and Detection (10 papers) and Advanced X-ray and CT Imaging (9 papers). The work is most often cited by research in Family Practice (53 citations), Health Informatics (31 citations), Radiology, Nuclear Medicine and Imaging (464 citations), Oncology (260 citations) and Artificial Intelligence (223 citations). Warren Reed has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Patrick Brennan, Mark F. McEntee, Peter Kench, Robert Heard, Ziba Gandomkar, Elaine Ryan, Roger Bourne, Mohammad Rawashdeh, Michael G. Evanoff and John Ryan. Their work appears in journals such as Academic Radiology, British Journal of Radiology, Clinical Radiology, Radiology and Radiation Protection Dosimetry.
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.