Tim Dowdell
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- COVID-19 diagnosis using AI 3
- Radiation Dose and Imaging 1
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- Advanced Neural Network Applications 1
- Co-authors
- Joseph Barfett (4 shared papers)Errol Colak (4 shared papers)Hojjat Salehinejad (3 shared papers)Shahrokh Valaee (3 shared papers)Bruce Gray (3 shared papers)Kuhan Perampaladas (1 shared paper)Mark D. Cicero (1 shared paper)Alexander Bilbily (1 shared paper)
- Journals
- Investigative Radiology (1 paper)IEEE Transactions on Medical Imaging (1 paper)Canadian Association of Radiologists Journal (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (1 paper)IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (1 paper)
- Partner nations
- Canada
In The Last Decade
Tim Dowdell
5 papers receiving 455 citations
Peers
Comparison fields: 5 of 55
- Health Informatics 102
- Radiology, Nuclear Medicine and Imaging 220
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 113
- Neurology 10
Countries citing papers authored by Tim Dowdell
This map shows the geographic impact of Tim Dowdell'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 Tim Dowdell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Dowdell more than expected).
Fields of papers citing papers by Tim Dowdell
This network shows the impact of papers produced by Tim Dowdell. 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 Tim Dowdell. The network helps show where Tim Dowdell may publish in the future.
Co-authors
The 9 scholars most cited alongside Tim Dowdell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 207 | |
| 2 | 2018 | 163 | |
| 3 | 2018 | 97 | |
| 4 | 2017 | 6 | |
| 5 | 2020 | 3 |
About Tim Dowdell
Tim Dowdell is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 5 papers that have together received 476 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), Speech Recognition and Synthesis (1 paper), Radiation Dose and Imaging (1 paper), Speech and dialogue systems (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Health Informatics (102 citations), Radiology, Nuclear Medicine and Imaging (220 citations), Computer Vision and Pattern Recognition (144 citations), Artificial Intelligence (113 citations) and Neurology (10 citations). Tim Dowdell has collaborated with scholars based in Canada. Frequent co-authors include Joseph Barfett, Errol Colak, Hojjat Salehinejad, Shahrokh Valaee, Bruce Gray, Kuhan Perampaladas, Mark D. Cicero, Alexander Bilbily and Parham Aarabi. Their work appears in journals such as Investigative Radiology, IEEE Transactions on Medical Imaging, Canadian Association of Radiologists Journal, IEEE International Conference on Acoustics Speech and Signal Processing and IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
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.