Noah Crampton

502 total citations
18 papers, 280 citations indexed

About

Noah Crampton is a scholar working on General Health Professions, Oncology and Health Information Management. According to data from OpenAlex, Noah Crampton has authored 18 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 7 papers in Oncology and 6 papers in Health Information Management. Recurrent topics in Noah Crampton's work include COVID-19 and healthcare impacts (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Electronic Health Records Systems (4 papers). Noah Crampton is often cited by papers focused on COVID-19 and healthcare impacts (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Electronic Health Records Systems (4 papers). Noah Crampton collaborates with scholars based in Canada, Sweden and United Kingdom. Noah Crampton's co-authors include Aviv Shachak, Shmuel Reis, Karen Tu, Ellen Stephenson, Debra A. Butt, Braden O’Neill, Jessica Gronsbell, Sumeet Kalia, Muhammad Mamdani and Serena Jeblee and has published in prestigious journals such as PLoS ONE, Journal of Affective Disorders and International Journal of Environmental Research and Public Health.

In The Last Decade

Noah Crampton

17 papers receiving 276 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Noah Crampton Canada 8 115 71 62 49 43 18 280
Saira Haque United States 8 94 0.8× 59 0.8× 100 1.6× 25 0.5× 39 0.9× 26 318
Gianluca Fontana United Kingdom 8 183 1.6× 31 0.4× 99 1.6× 36 0.7× 39 0.9× 20 364
Nancy Morioka-Douglas United States 6 202 1.8× 133 1.9× 130 2.1× 12 0.2× 32 0.7× 14 361
Jessica Baldwin United States 8 180 1.6× 89 1.3× 73 1.2× 11 0.2× 11 0.3× 17 364
Olga Petrovskaya Canada 11 186 1.6× 91 1.3× 146 2.4× 18 0.4× 42 1.0× 23 367
Bryan D. Steitz United States 10 156 1.4× 134 1.9× 83 1.3× 19 0.4× 8 0.2× 33 355
Wenzhao Xie China 11 157 1.4× 18 0.3× 82 1.3× 12 0.2× 60 1.4× 30 419
Charles Gutteridge United Kingdom 4 125 1.1× 34 0.5× 129 2.1× 45 0.9× 18 0.4× 7 269
Cheryl D. Stults United States 13 295 2.6× 17 0.2× 96 1.5× 35 0.7× 32 0.7× 38 438
Maria Alcocer Alkureishi United States 12 295 2.6× 153 2.2× 188 3.0× 34 0.7× 30 0.7× 19 451

Countries citing papers authored by Noah Crampton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Noah Crampton

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Crampton. A scholar is included among the top collaborators of Noah Crampton 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 Noah Crampton. Noah Crampton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Abulibdeh, Rawan, et al.. (2025). Assessing the capture of sociodemographic information in electronic medical records to inform clinical decision making. PLoS ONE. 20(1). e0317599–e0317599. 1 indexed citations
2.
3.
Johnson, Rebecca J., et al.. (2024). Using Primary Health Care Electronic Medical Records to Predict Hospitalizations, Emergency Department Visits, and Mortality: A Systematic Review. The Journal of the American Board of Family Medicine. 37(4). 583–606. 1 indexed citations
4.
5.
Stephenson, Ellen, Braden O’Neill, Sumeet Kalia, et al.. (2022). Effects of COVID-19 pandemic on anxiety and depression in primary care: A retrospective cohort study. Journal of Affective Disorders. 303. 216–222. 22 indexed citations
6.
Stephenson, Ellen, et al.. (2022). Changes in the top 25 reasons for primary care visits during the COVID-19 pandemic in a high-COVID region of Canada. PubMed Central. 2970–2970. 2 indexed citations
7.
Wattanapisit, Apichai, et al.. (2022). Bibliometric Analysis of Literature on Physical Activity and COVID-19. International Journal of Environmental Research and Public Health. 19(12). 7116–7116. 7 indexed citations
8.
Stephenson, Ellen, Karen Tu, Debra A. Butt, et al.. (2022). Effects of COVID-19 pandemic on anxiety and depression in primary care: A cohort study in Ontario, Canada. PubMed. 20(20 Suppl 1). 2911–2911. 2 indexed citations
9.
Stephenson, Ellen, Debra A. Butt, Jessica Gronsbell, et al.. (2021). Changes in the top 25 reasons for primary care visits during the COVID-19 pandemic in a high-COVID region of Canada. PLoS ONE. 16(8). e0255992–e0255992. 58 indexed citations
10.
Stephenson, Ellen, Braden O’Neill, Jessica Gronsbell, et al.. (2021). Changes in family medicine visits across sociodemographic groups after the onset of the COVID-19 pandemic in Ontario: a retrospective cohort study. CMAJ Open. 9(2). E651–E658. 25 indexed citations
11.
Crampton, Noah, Sumeet Kalia, M. Elisabeth Del Giudice, et al.. (2021). Over‐use of thyroid testing in Canadian and UK primary care in frequent attenders: A cross‐sectional study. International Journal of Clinical Practice. 75(6). e14144–e14144. 6 indexed citations
12.
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Shachak, Aviv, et al.. (2019). Educational approaches for improving physicians’ use of health information technology. Healthcare Management Forum. 32(4). 188–191. 7 indexed citations
14.
Jeblee, Serena, et al.. (2019). AutoScribe: Extracting Clinically Pertinent Information from Patient-Clinician Dialogues. Studies in health technology and informatics. 264. 1512–1513. 7 indexed citations
15.
Crampton, Noah. (2019). Ambient virtual scribes: Mutuo Health’s AutoScribe as a case study of artificial intelligence-based technology. Healthcare Management Forum. 33(1). 34–38. 21 indexed citations
16.
17.
Jaakkimainen, Liisa, et al.. (2018). Using family physician Electronic Medical Record data to measure the pathways of cancer care. International Journal for Population Data Science. 3(4). 1 indexed citations
18.
Crampton, Noah, Shmuel Reis, & Aviv Shachak. (2016). Computers in the clinical encounter: a scoping review and thematic analysis. Journal of the American Medical Informatics Association. 23(3). 654–665. 89 indexed citations

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.

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