Noah Crampton
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
Papers in
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- Health Sciences Research and Education 2
- Oncology 7
- COVID-19 and healthcare impacts 5
- Global Cancer Incidence and Screening 3
- Co-authors
- Aviv Shachak (2 shared papers)Shmuel Reis (1 shared paper)Debra A. Butt (6 shared papers)Karen Tu (7 shared papers)Ellen Stephenson (5 shared papers)Braden O’Neill (4 shared papers)Jessica Gronsbell (4 shared papers)Sumeet Kalia (4 shared papers)
- Journals
- PLoS ONE (2 papers)CMAJ Open (1 paper)International Journal for Population Data Science (1 paper)The Journal of the American Board of Family Medicine (1 paper)Journal of Affective Disorders (1 paper)
- Partner nations
- CanadaSwedenUnited Kingdom
In The Last Decade
Noah Crampton
17 papers receiving 276 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 26
- Health Information Management 71
- Issues, ethics and legal aspects 6
- General Health Professions 115
- Applied Psychology 20
Countries citing papers authored by Noah Crampton
This map shows the geographic impact of Noah Crampton'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 Noah Crampton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Crampton more than expected).
Fields of papers citing papers by Noah Crampton
This network shows the impact of papers produced by Noah Crampton. 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 Noah Crampton. The network helps show where Noah Crampton may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Crampton, 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 | 2016 | 89 | |
| 2 | 2021 | 58 | |
| 3 | 2021 | 25 | |
| 4 | 2022 | 22 | |
| 5 | 2019 | 21 | |
| 6 | 2021 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2024 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2022 | 0 |
About Noah Crampton
Noah Crampton is a scholar working on General Health Professions, Oncology, Health Information Management, Artificial Intelligence and Molecular Biology, having authored 18 papers that have together received 280 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (5 papers), Electronic Health Records Systems (4 papers), Biomedical Text Mining and Ontologies (4 papers), Global Cancer Incidence and Screening (3 papers), COVID-19 and Mental Health (3 papers), Natural Language Processing Techniques (2 papers), Health Sciences Research and Education (2 papers) and Medical Coding and Health Information (2 papers). The work is most often cited by research in Health Informatics (26 citations), Health Information Management (71 citations), Issues, ethics and legal aspects (6 citations), General Health Professions (115 citations) and Applied Psychology (20 citations). Noah Crampton has collaborated with scholars based in Canada, Sweden and United Kingdom. Frequent co-authors include Aviv Shachak, Shmuel Reis, Debra A. Butt, Karen Tu, Ellen Stephenson, Braden O’Neill, Jessica Gronsbell, Sumeet Kalia, Serena Jeblee and Muhammad Mamdani. Their work appears in journals such as PLoS ONE, CMAJ Open, International Journal for Population Data Science, The Journal of the American Board of Family Medicine and Journal of Affective Disorders.
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.