Joseph R. E. Ledsam
Impact in
- Health Informatics top 0.01%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
Papers in
-
- Retinal Imaging and Analysis 6
- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 3
-
- Retinal and Optic Conditions 3
- Retinal Diseases and Treatments 3
- Co-authors
- Pearse Andrew Keane (6 shared papers)Xiaoxuan Liu (2 shared papers)Lucas M. Bachmann (2 shared papers)Christoph A. Kern (2 shared papers)Siegfried K. Wagner (4 shared papers)Livia Faes (3 shared papers)Martin Schmid (2 shared papers)Dun Jack Fu (3 shared papers)
- Journals
- F1000Research (5 papers)Nature (3 papers)Investigative Ophthalmology & Visual Science (2 papers)Nature Medicine (2 papers)Journal of Magnetic Resonance Imaging (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Joseph R. E. Ledsam
28 papers receiving 7.6k citations
Joseph R. E. Ledsam's Hit Papers
Peers
Comparison fields: 5 of 197
- Health Informatics 1.7k
- Radiology, Nuclear Medicine and Imaging 2.7k
- Health Information Management 460
- Ophthalmology 673
- Artificial Intelligence 2.2k
Countries citing papers authored by Joseph R. E. Ledsam
This map shows the geographic impact of Joseph R. E. Ledsam'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 Joseph R. E. Ledsam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph R. E. Ledsam more than expected).
Fields of papers citing papers by Joseph R. E. Ledsam
This network shows the impact of papers produced by Joseph R. E. Ledsam. 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 Joseph R. E. Ledsam. The network helps show where Joseph R. E. Ledsam may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph R. E. Ledsam, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | International evaluation of an AI system for breast cancer screening Hit paper breakdown → | 2020 | 2117 |
| 2 | Clinically applicable deep learning for diagnosis and referral in retinal disease Hit paper breakdown → | 2018 | 1878 |
| 3 | A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis Hit paper breakdown → | 2019 | 1293 |
| 4 | A clinically applicable approach to continuous prediction of future acute kidney injury Hit paper breakdown → | 2019 | 753 |
| 5 | Effective gene expression prediction from sequence by integrating long-range interactions Hit paper breakdown → | 2021 | 626 |
| 6 | 2019 | 240 | |
| 7 | Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study Hit paper breakdown → | 2021 | 239 |
| 8 | 2020 | 221 | |
| 9 | 2019 | 111 | |
| 10 | 2021 | 67 | |
| 11 | 2012 | 52 | |
| 12 | 2013 | 42 | |
| 13 | 2016 | 36 | |
| 14 | 2020 | 31 | |
| 15 | 2021 | 22 | |
| 16 | 2016 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2017 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2017 | 9 |
About Joseph R. E. Ledsam
Joseph R. E. Ledsam is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Nephrology, Artificial Intelligence and Health Informatics, having authored 30 papers that have together received 7.8k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Chronic Kidney Disease and Diabetes (3 papers), COVID-19 diagnosis using AI (3 papers), Retinal and Optic Conditions (3 papers), Retinal Diseases and Treatments (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (1.7k citations), Radiology, Nuclear Medicine and Imaging (2.7k citations), Health Information Management (460 citations), Ophthalmology (673 citations) and Artificial Intelligence (2.2k citations). Joseph R. E. Ledsam has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Pearse Andrew Keane, Xiaoxuan Liu, Lucas M. Bachmann, Christoph A. Kern, Siegfried K. Wagner, Livia Faes, Martin Schmid, Dun Jack Fu, Gabriella Moraes and Alastair Keith Denniston. Their work appears in journals such as F1000Research, Nature, Investigative Ophthalmology & Visual Science, Nature Medicine and Journal of Magnetic Resonance Imaging.
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.