Caroline Boggis
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Susan AstleyI. HuttFiona J. GilbertDibendu BetalEmmanuel A. StamatakisPM TaylorJames ParkerJohn Suckling
- Topics
- AI in cancer detection (24 papers)Global Cancer Incidence and Screening (22 papers)Digital Radiography and Breast Imaging (15 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Caroline Boggis
57 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Computer Vision and Pattern Recognition 723
- Oncology 708
- Pulmonary and Respiratory Medicine 552
Countries citing papers authored by Caroline Boggis
This map shows the geographic impact of Caroline Boggis'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 Caroline Boggis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Boggis more than expected).
Fields of papers citing papers by Caroline Boggis
This network shows the impact of papers produced by Caroline Boggis. 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 Caroline Boggis. The network helps show where Caroline Boggis may publish in the future.
Co-authorship network of co-authors of Caroline Boggis
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Boggis. A scholar is included among the top collaborators of Caroline Boggis 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 Caroline Boggis. Caroline Boggis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 68 | |
| 6 | 195 | |
| 7 | 37 | |
| 8 | 12 | |
| 9 | 71 | |
| 10 | 36 | |
| 11 | 22 | |
| 12 | 21 | |
| 13 | 94 | |
| 14 | 31 | |
| 15 | 7 | |
| 16 | 10 | |
| 17 | 63 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 16 |
About Caroline Boggis
Caroline Boggis is a scholar working on Oncology, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 3.0k indexed citations. Recurring topics across this work include AI in cancer detection (24 papers), Global Cancer Incidence and Screening (22 papers) and Digital Radiography and Breast Imaging (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Artificial Intelligence (1.3k citations) and Computer Vision and Pattern Recognition (723 citations). Caroline Boggis has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Susan Astley, I. Hutt, Fiona J. Gilbert, Dibendu Betal, Emmanuel A. Stamatakis, PM Taylor, James Parker, John Suckling, Ian W. Ricketts and D. Gareth Evans. Their work appears in journals such as New England Journal of Medicine, The Lancet and Radiology.
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.