Christopher Sharp

63 papers receiving 1.5k citations

Christopher Sharp's Hit Papers

Physician Perspectives on Ambient AI Scribes 2025 · 43 citations
430+1Years since publication4080120

Peers

Christopher Sharp
Comparison fields: 5 of 122
  • Health Informatics 206
  • Health Information Management 238
  • Neurology 123
  • Public Health, Environmental and Occupational Health 255
  • Family Practice 16
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Jason Hom United States
Paul Cooper United Kingdom
Thomas M. Munger United States
David J. Coté United States
Jinnan Li China
Sophia Y. Wang United States
Luke Gompels United Kingdom
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Christopher Sharp relative to Jason Hom United States Jason Hom's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher Sharp

Since Specialization
Citations

This map shows the geographic impact of Christopher Sharp'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 Christopher Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Sharp more than expected).

Fields of papers citing papers by Christopher Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Sharp. 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 Christopher Sharp. The network helps show where Christopher Sharp may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Sharp Line = papers co-authored together Christopher Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003151
2
Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages
Hit paper breakdown →
2024137
3 2021116
4 2019112
5 202093
6 202481
7 202074
8 200471
9
Ambient artificial intelligence scribes: utilization and impact on documentation time
Hit paper breakdown →
202458
10 200150
11
Physician Perspectives on Ambient AI Scribes
Hit paper breakdown →
202543
12 201640
13 201938
14 200538
15 200337
16 201734
17 200533
18 200330
19 201926
20 200722

About Christopher Sharp

Christopher Sharp is a scholar working on Public Health, Environmental and Occupational Health, Health Information Management, General Health Professions, Health Informatics and Economics and Econometrics, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electronic Health Records Systems (9 papers), Telemedicine and Telehealth Implementation (8 papers), Artificial Intelligence in Healthcare and Education (5 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Diabetes and associated disorders (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Healthcare Systems and Technology (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Health Informatics (206 citations), Health Information Management (238 citations), Neurology (123 citations), Public Health, Environmental and Occupational Health (255 citations) and Family Practice (16 citations). Christopher Sharp has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Tait D. Shanafelt, N. Lance Downing, A. Warren, Robert S. Huckman, A Jay Holmgren, John W. Elrod, Alireza Minagar, Ajay Jawahar, T. H. Jackson and Shreya Shah. Their work appears in journals such as Journal of the American Medical Informatics Association, JAMA Network Open, Journal of Medical Internet Research, npj Digital Medicine and Diabetes.

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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