Chris Chute
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
Papers in
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- Venous Thromboembolism Diagnosis and Management 2
-
- Radiation Dose and Imaging 1
- Radiomics and Machine Learning in Medical Imaging 1
- Radiology practices and education 1
- Co-authors
- Andrew Y. Ng (3 shared papers)Bhavik N. Patel (3 shared papers)Jeremy Irvin (3 shared papers)Pranav Rajpurkar (3 shared papers)Matthew P. Lungren (3 shared papers)Michael Bereket (1 shared paper)Domenico Mastrodicasa (1 shared paper)Curtis P. Langlotz (1 shared paper)
- Journals
- Scientific Reports (1 paper)npj Digital Medicine (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)SSRN Electronic Journal (1 paper)PubMed (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Chris Chute
5 papers receiving 202 citations
Peers
Comparison fields: 5 of 57
- Health Informatics 30
- Internal Medicine 65
- Critical Care and Intensive Care Medicine 20
- Radiology, Nuclear Medicine and Imaging 86
- Emergency Medicine 31
Countries citing papers authored by Chris Chute
This map shows the geographic impact of Chris Chute'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 Chris Chute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Chute more than expected).
Fields of papers citing papers by Chris Chute
This network shows the impact of papers produced by Chris Chute. 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 Chris Chute. The network helps show where Chris Chute may publish in the future.
Co-authors
The 19 scholars most cited alongside Chris Chute, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2020 | 80 | |
| 3 | 2019 | 9 | |
| 4 | 2020 | 8 | |
| 5 | LexValueSets: an approach for context-driven value sets extraction. | 2008 | 7 |
About Chris Chute
Chris Chute is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Health, Toxicology and Mutagenesis and Oncology, having authored 5 papers that have together received 207 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (2 papers), Radiation Dose and Imaging (1 paper), Semantic Web and Ontologies (1 paper), linguistics and terminology studies (1 paper), Advanced X-ray and CT Imaging (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Appendicitis Diagnosis and Management (1 paper) and Radiology practices and education (1 paper). The work is most often cited by research in Health Informatics (30 citations), Internal Medicine (65 citations), Critical Care and Intensive Care Medicine (20 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Emergency Medicine (31 citations). Chris Chute has collaborated with scholars based in United States and Canada. Frequent co-authors include Andrew Y. Ng, Bhavik N. Patel, Jeremy Irvin, Pranav Rajpurkar, Matthew P. Lungren, Michael Bereket, Domenico Mastrodicasa, Curtis P. Langlotz, Imon Banerjee and Shih-Cheng Huang. Their work appears in journals such as Scientific Reports, npj Digital Medicine, Zenodo (CERN European Organization for Nuclear Research), SSRN Electronic Journal and PubMed.
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.