Lauren Oakden‐Rayner
- Health Informatics top 0.5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Melissa D. McCraddenMarzyeh GhassemiXiaoxuan LiuBen GlockerAlastair K. DennistonLyle J. PalmerJaron ChongElmar Kotter
- Topics
- Artificial Intelligence in Healthcare and Education (10 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Radiology practices and education (5 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Lauren Oakden‐Rayner
16 papers receiving 377 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 207
- Radiology, Nuclear Medicine and Imaging 152
- Artificial Intelligence 99
- Biomedical Engineering 64
- Pulmonary and Respiratory Medicine 48
Countries citing papers authored by Lauren Oakden‐Rayner
This map shows the geographic impact of Lauren Oakden‐Rayner'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 Lauren Oakden‐Rayner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren Oakden‐Rayner more than expected).
Fields of papers citing papers by Lauren Oakden‐Rayner
This network shows the impact of papers produced by Lauren Oakden‐Rayner. 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 Lauren Oakden‐Rayner. The network helps show where Lauren Oakden‐Rayner may publish in the future.
Co-authorship network of co-authors of Lauren Oakden‐Rayner
This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Oakden‐Rayner. A scholar is included among the top collaborators of Lauren Oakden‐Rayner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lauren Oakden‐Rayner. Lauren Oakden‐Rayner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 26 | |
| 4 | 16 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 36 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 3 | |
| 11 | 11 | |
| 12 | 44 | |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 55 | |
| 16 | 121 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 3 |
About Lauren Oakden‐Rayner
Lauren Oakden‐Rayner is a scholar working on Health Informatics, Family Practice and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 380 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Radiology practices and education (5 papers). The work is most often cited by research in Health Informatics (207 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Health Information Management (22 citations). Lauren Oakden‐Rayner has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Melissa D. McCradden, Marzyeh Ghassemi, Xiaoxuan Liu, Ben Glocker, Alastair K. Denniston, Lyle J. Palmer, Jaron Chong, Elmar Kotter, John Mongan and Bibb Allen. Their work appears in journals such as Arthritis Research & Therapy, Seminars in Arthritis and Rheumatism and Frontiers in Neurology.
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.