David Koff
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Geriatrics and Gerontology top 10%
- Frailty in Older Adults
Papers in
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- Radiation Dose and Imaging 8
- Medical Imaging Techniques and Applications 7
- Radiology practices and education 5
- Radiomics and Machine Learning in Medical Imaging 4
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- Digital Radiography and Breast Imaging 2
- Co-authors
- Harry Shulman (2 shared papers)Gerald Moran (1 shared paper)Raimond Wong (1 shared paper)Marina Mourtzakis (1 shared paper)Alexander Wong (2 shared papers)Katie M. Di Sebastiano (1 shared paper)Kevin Zbuk (1 shared paper)Lin Yang (1 shared paper)
In The Last Decade
David Koff
27 papers receiving 521 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 71
- Geriatrics and Gerontology 48
- Health Information Management 49
- Radiology, Nuclear Medicine and Imaging 176
- Family Practice 14
Countries citing papers authored by David Koff
This map shows the geographic impact of David Koff'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 David Koff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Koff more than expected).
Fields of papers citing papers by David Koff
This network shows the impact of papers produced by David Koff. 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 David Koff. The network helps show where David Koff may publish in the future.
Co-authors
The 25 scholars most cited alongside David Koff, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 112 | |
| 2 | 2011 | 103 | |
| 3 | 2021 | 66 | |
| 4 | An overview of digital compression of medical images: can we use lossy image compression in radiology? | 2006 | 53 |
| 5 | 2022 | 51 | |
| 6 | 2016 | 23 | |
| 7 | 2014 | 22 | |
| 8 | 2013 | 18 | |
| 9 | 2016 | 16 | |
| 10 | 2007 | 11 | |
| 11 | 2014 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2012 | 7 | |
| 14 | 2016 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2009 | 5 | |
| 17 | 2022 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2012 | 3 | |
| 20 | 2020 | 2 |
About David Koff
David Koff is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 28 papers that have together received 536 indexed citations. Recurring topics across this work include Radiation Dose and Imaging (8 papers), Medical Imaging Techniques and Applications (7 papers), Radiology practices and education (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced X-ray and CT Imaging (3 papers), Digital Radiography and Breast Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (71 citations), Geriatrics and Gerontology (48 citations), Health Information Management (49 citations), Radiology, Nuclear Medicine and Imaging (176 citations) and Family Practice (14 citations). David Koff has collaborated with scholars based in Canada, Brazil and Iran. Frequent co-authors include Harry Shulman, Gerald Moran, Raimond Wong, Marina Mourtzakis, Alexander Wong, Katie M. Di Sebastiano, Kevin Zbuk, Lin Yang, Hayden Gunraj and Ali Sabri. Their work appears in journals such as Journal of Digital Imaging, IEEE Transactions on Radiation and Plasma Medical Sciences, Journal of Global Health, International Journal of Circumpolar Health and Radiation Research.
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.