Caitlin E. Ward
Impact in
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- Radiomics and Machine Learning in Medical Imaging
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- Brain Tumor Detection and Classification
Papers in
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- Radiomics and Machine Learning in Medical Imaging 10
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- Patient-Provider Communication in Healthcare 2
- Co-authors
- Sarv Priya (12 shared papers)Girish Bathla (12 shared papers)Neetu Soni (8 shared papers)Varun Monga (6 shared papers)Jacob Oleson (6 shared papers)Milan Sonka A (4 shared papers)Lisa Goffman (1 shared paper)Clarissa A. Shaw (3 shared papers)
- Journals
- Scientific Reports (2 papers)Cancers (2 papers)Innovation in Aging (1 paper)Evaluation and Program Planning (1 paper)Biomolecules (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Caitlin E. Ward
31 papers receiving 356 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 143
- Neurology 28
- Developmental and Educational Psychology 40
- Genetics 19
- Health Informatics 5
Countries citing papers authored by Caitlin E. Ward
This map shows the geographic impact of Caitlin E. Ward'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 Caitlin E. Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin E. Ward more than expected).
Fields of papers citing papers by Caitlin E. Ward
This network shows the impact of papers produced by Caitlin E. Ward. 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 Caitlin E. Ward. The network helps show where Caitlin E. Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Caitlin E. Ward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 51 | |
| 2 | 2018 | 38 | |
| 3 | 2021 | 36 | |
| 4 | 2020 | 28 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 4 |
About Caitlin E. Ward
Caitlin E. Ward is a scholar working on Radiology, Nuclear Medicine and Imaging, General Health Professions, Psychiatry and Mental health, Management of Technology and Innovation and Developmental and Educational Psychology, having authored 32 papers that have together received 367 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Dementia and Cognitive Impairment Research (3 papers), Patient-Provider Communication in Healthcare (2 papers), Blood donation and transfusion practices (2 papers), Healthcare Policy and Management (1 paper), Acute Ischemic Stroke Management (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (143 citations), Neurology (28 citations), Developmental and Educational Psychology (40 citations), Genetics (19 citations) and Health Informatics (5 citations). Caitlin E. Ward has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sarv Priya, Girish Bathla, Neetu Soni, Varun Monga, Jacob Oleson, Milan Sonka A, Lisa Goffman, Clarissa A. Shaw, Keela Herr and Yanan Liu. Their work appears in journals such as Scientific Reports, Cancers, Innovation in Aging, Evaluation and Program Planning and Biomolecules.
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.