Christopher Sharp

58 papers receiving 1.3k citations

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Physician Perspectives on Ambient AI Scribes 2025 · 22 citations
22202420262025255075100

Peers

Christopher Sharp
Comparison fields: 5 of 125
  • Health Informatics 190
  • Health Information Management 272
  • Family Practice 37
  • Neurology 126
  • General Health Professions 318
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Jason Hom United States
Jinnan Li China
Milena Gianfrancesco United States
Werner O. Hackl Austria
Jeffrey Shuren United States
Albert Chan United States
Thomas R. Campion United States
Robert Wellman United States
Jihad S. Obeid United States
Sophia Y. Wang United States
Christopher Sharp relative to Jason Hom United States Jason Hom's profile →
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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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003149
2
Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages
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2024109
3 2019104
4 2021101
5 202088
6 200470
7 202068
8
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden
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202455
9 200148
10 202440
11 200337
12 200536
13 201933
14 201733
15 201632
16 200329
17 200526
18 201926
19
Physician Perspectives on Ambient AI Scribes
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202522
20 200722

About Christopher Sharp

Christopher Sharp is a scholar working on Health Informatics, Health Information Management, Public Health, Environmental and Occupational Health, General Health Professions and Organizational Behavior and Human Resource Management, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (13 papers), Electronic Health Records Systems (10 papers), Artificial Intelligence in Healthcare and Education (7 papers), Healthcare Systems and Technology (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Patient-Provider Communication in Healthcare (5 papers), Mobile Health and mHealth Applications (4 papers) and Patient Satisfaction in Healthcare (4 papers). The work is most often cited by research in Health Informatics (190 citations), Health Information Management (272 citations), Family Practice (37 citations), Neurology (126 citations) and General Health Professions (318 citations). Christopher Sharp has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Tait D. Shanafelt, A. Warren, N. Lance Downing, John W. Elrod, Robert S. Huckman, A Jay Holmgren, Alireza Minagar, Ajay Jawahar, T. H. Jackson and Chris Longhurst. Their work appears in journals such as Journal of the American Medical Informatics Association, JAMA Network Open, Journal of Telemedicine and Telecare, Diabetes and Applied Clinical Informatics.

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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