Anna Devon-Sand

497 total citations · 3 hit papers
8 papers, 228 citations indexed

About

Anna Devon-Sand is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Health Informatics. According to data from OpenAlex, Anna Devon-Sand has authored 8 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 4 papers in General Health Professions and 4 papers in Health Informatics. Recurrent topics in Anna Devon-Sand's work include Telemedicine and Telehealth Implementation (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Electronic Health Records Systems (3 papers). Anna Devon-Sand is often cited by papers focused on Telemedicine and Telehealth Implementation (5 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Electronic Health Records Systems (3 papers). Anna Devon-Sand collaborates with scholars based in United States and Qatar. Anna Devon-Sand's co-authors include Patricia García, Steven Lin, Shreya Shah, Michael A. Pfeffer, Tait D. Shanafelt, P. Stephen, Christopher Sharp, Margaret Smith, Ming Tai-Seale and Philip H. Sossenheimer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Journal of the American Medical Informatics Association.

In The Last Decade

Anna Devon-Sand

6 papers receiving 227 citations

Hit Papers

Artificial Intelligence–Generated Draft Replies to Patien... 2024 2026 2025 2024 2024 2025 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Devon-Sand United States 4 135 55 53 46 38 8 228
P. Stephen United States 6 140 1.0× 57 1.0× 59 1.1× 56 1.2× 40 1.1× 12 249
C. P. Buszello Germany 2 108 0.8× 27 0.5× 22 0.4× 48 1.0× 28 0.7× 2 173
Neil Patel United Kingdom 6 97 0.7× 30 0.5× 13 0.2× 25 0.5× 32 0.8× 15 202
Dev Dash United States 6 112 0.8× 15 0.3× 23 0.4× 73 1.6× 16 0.4× 9 209
Joshua Yi Min Tung Singapore 7 59 0.4× 85 1.5× 12 0.2× 35 0.8× 83 2.2× 21 220
Amin Dada Germany 4 108 0.8× 17 0.3× 12 0.2× 81 1.8× 25 0.7× 9 187
Ibraheem Altamimi Saudi Arabia 7 115 0.9× 18 0.3× 9 0.2× 55 1.2× 24 0.6× 14 191
Víctor Díaz‐Flores García Spain 8 209 1.5× 30 0.5× 9 0.2× 61 1.3× 31 0.8× 25 352
Jonathan Chou United States 6 99 0.7× 22 0.4× 10 0.2× 35 0.8× 27 0.7× 14 198
Michael Mittelman United States 6 52 0.4× 40 0.7× 9 0.2× 12 0.3× 25 0.7× 16 140

Countries citing papers authored by Anna Devon-Sand

Since Specialization
Citations

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

Fields of papers citing papers by Anna Devon-Sand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Devon-Sand. 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 Anna Devon-Sand. The network helps show where Anna Devon-Sand may publish in the future.

Co-authorship network of co-authors of Anna Devon-Sand

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

All Works

8 of 8 papers shown
1.
Shah, Shreya, Anna Devon-Sand, P. Stephen, et al.. (2025). Physician Perspectives on Ambient AI Scribes. JAMA Network Open. 8(3). e251904–e251904. 22 indexed citations breakdown →
2.
Shah, Shreya, et al.. (2024). Effect of an Electronic Health Record-Based Intervention on Documentation Practices. Applied Clinical Informatics. 15(4). 771–777. 1 indexed citations
3.
Stephen, P., Shreya Shah, Anna Devon-Sand, et al.. (2024). Ambient artificial intelligence scribes: utilization and impact on documentation time. Journal of the American Medical Informatics Association. 32(2). 381–385. 40 indexed citations
4.
Devon-Sand, Anna, et al.. (2024). Building Pandemic-Resilient Primary Care Systems: Lessons Learned From COVID-19. Journal of Medical Internet Research. 26. e47667–e47667. 1 indexed citations
5.
Shah, Shreya, Anna Devon-Sand, P. Stephen, et al.. (2024). Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden. Journal of the American Medical Informatics Association. 32(2). 375–380. 55 indexed citations breakdown →
6.
Devon-Sand, Anna, Rory Sayres, Yun Liu, et al.. (2024). A Multiparty Collaboration to Engage Diverse Populations in Community-Centered Artificial Intelligence Research. SHILAP Revista de lepidopterología. 2(3). 463–469.
7.
García, Patricia, P. Stephen, Shreya Shah, et al.. (2024). Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages. JAMA Network Open. 7(3). e243201–e243201. 109 indexed citations breakdown →
8.
Sossenheimer, Philip H., et al.. (2023). Voice Assistants’ Responses to Questions About the COVID-19 Vaccine: National Cross-sectional Study. JMIR Formative Research. 7. e43007–e43007.

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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