Elizabeth S. Burnside
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 0.5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Co-authors
- Oğuzhan AlagözDaniel L. RubinJagpreet ChhatwalGale A. SisneyCharles E. KahnEdward A. SicklesJason P. FineTurgay Ayer
- Topics
- Global Cancer Incidence and Screening (64 papers)AI in cancer detection (57 papers)Colorectal Cancer Screening and Detection (29 papers)
- Journals
- Nature MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Elizabeth S. Burnside
167 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Radiology, Nuclear Medicine and Imaging 2.2k
- Artificial Intelligence 1.6k
- Oncology 1.2k
- Pulmonary and Respiratory Medicine 746
- Cancer Research 586
Countries citing papers authored by Elizabeth S. Burnside
This map shows the geographic impact of Elizabeth S. Burnside'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 Elizabeth S. Burnside with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth S. Burnside more than expected).
Fields of papers citing papers by Elizabeth S. Burnside
This network shows the impact of papers produced by Elizabeth S. Burnside. 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 Elizabeth S. Burnside. The network helps show where Elizabeth S. Burnside may publish in the future.
Co-authorship network of co-authors of Elizabeth S. Burnside
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth S. Burnside. A scholar is included among the top collaborators of Elizabeth S. Burnside 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 Elizabeth S. Burnside. Elizabeth S. Burnside 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 | 2 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 5 | |
| 13 | 48 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 12 | |
| 17 | 21 | |
| 18 | 10 | |
| 19 | Learning Heterogeneous Hidden Markov Random Fields. | 4 |
| 20 | View learning for statistical relational learning: with an application to mammography | 27 |
About Elizabeth S. Burnside
Elizabeth S. Burnside is a scholar working on Oncology, Artificial Intelligence and Cancer Research, having authored 176 papers that have together received 4.9k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (64 papers), AI in cancer detection (57 papers) and Colorectal Cancer Screening and Detection (29 papers). The work is most often cited by research in Health Informatics (149 citations), Radiology, Nuclear Medicine and Imaging (2.2k citations) and Artificial Intelligence (1.6k citations). Elizabeth S. Burnside has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Oğuzhan Alagöz, Daniel L. Rubin, Jagpreet Chhatwal, Gale A. Sisney, Charles E. Kahn, Edward A. Sickles, Jason P. Fine, Turgay Ayer, Elizabeth A. Morris and Gary J. Whitman. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.