Nathaniel Swinburne
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Health Informatics top 1%
- Surgery
- Co-authors
- Javin ScheffleinEric K. OermannJ. TitanoRahul PatelA. FischmanJoseph LehárAnthony CostaMargaret Pain
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Glioma Diagnosis and Treatment (4 papers)MRI in cancer diagnosis (3 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Nathaniel Swinburne
18 papers receiving 505 citations
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 223
- Pulmonary and Respiratory Medicine 114
- Artificial Intelligence 113
- Health Informatics 108
- Surgery 77
Countries citing papers authored by Nathaniel Swinburne
This map shows the geographic impact of Nathaniel Swinburne'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 Nathaniel Swinburne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel Swinburne more than expected).
Fields of papers citing papers by Nathaniel Swinburne
This network shows the impact of papers produced by Nathaniel Swinburne. 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 Nathaniel Swinburne. The network helps show where Nathaniel Swinburne may publish in the future.
Co-authorship network of co-authors of Nathaniel Swinburne
This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel Swinburne. A scholar is included among the top collaborators of Nathaniel Swinburne 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 Nathaniel Swinburne. Nathaniel Swinburne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 24 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 52 | |
| 13 | 6 | |
| 14 | 270 | |
| 15 | 22 | |
| 16 | 16 | |
| 17 | 47 | |
| 18 | 8 |
About Nathaniel Swinburne
Nathaniel Swinburne is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 512 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Glioma Diagnosis and Treatment (4 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Health Informatics (108 citations), Radiology, Nuclear Medicine and Imaging (223 citations) and Internal Medicine (26 citations). Nathaniel Swinburne has collaborated with scholars based in United States and India. Frequent co-authors include Javin Schefflein, Eric K. Oermann, J. Titano, Rahul Patel, A. Fischman, Joseph Lehár, Anthony Costa, Margaret Pain, J Mocco and John R. Zech. Their work appears in journals such as Nature Medicine, Journal of Clinical Pathology and American Journal of Neuroradiology.
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.