Joseph C. Kvedar

10.9k total citations · 2 hit papers
155 papers, 5.9k citations indexed

About

Joseph C. Kvedar is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Joseph C. Kvedar has authored 155 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in General Health Professions, 30 papers in Public Health, Environmental and Occupational Health and 18 papers in Oncology. Recurrent topics in Joseph C. Kvedar's work include Mobile Health and mHealth Applications (28 papers), Telemedicine and Telehealth Implementation (23 papers) and Skin and Cellular Biology Research (12 papers). Joseph C. Kvedar is often cited by papers focused on Mobile Health and mHealth Applications (28 papers), Telemedicine and Telehealth Implementation (23 papers) and Skin and Cellular Biology Research (12 papers). Joseph C. Kvedar collaborates with scholars based in United States, Netherlands and United Kingdom. Joseph C. Kvedar's co-authors include Jonathan Linkous, Alexander L. Fogel, Kamal Jethwani, Molly Joel Coye, Wendy Everett, Alice J. Watson, Stephen Agboola, Rashid L. Bashshur, Howard P. Baden and Charles R. Doarn and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Joseph C. Kvedar

151 papers receiving 5.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Connected Health: A Review Of Technologies And Strategies To Improve Patient Care With Telemedicine And Telehealth

2014 414 citations Joseph C. Kvedar et al. profile →
Telemedicine and the COVID-19 Pandemic, Lessons for the Future

2020 410 citations Rashid L. Bashshur, Charles R. Doarn et al. Telemedicine Journal and e-Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph C. Kvedar United States	41	1.9k	1.8k	960	898	532	155	5.9k
Richard Wootton Australia	52	2.7k 1.4×	4.0k 2.2×	1.5k 1.5×	1.1k 1.2×	627 1.2×	309	10.1k
Paul Scuffham Australia	50	2.2k 1.2×	1.7k 0.9×	589 0.6×	1.5k 1.6×	1.1k 2.1×	404	10.1k
Roger Watson United Kingdom	55	3.8k 2.0×	1.8k 1.0×	458 0.5×	613 0.7×	189 0.4×	472	11.4k
Arto Öhinmaa Canada	40	1.7k 0.9×	1.9k 1.1×	264 0.3×	827 0.9×	338 0.6×	225	6.6k
Liam J Caffery Australia	34	2.2k 1.2×	2.7k 1.5×	1.2k 1.2×	387 0.4×	180 0.3×	132	5.0k
Rachel Hess United States	43	1.3k 0.7×	1.5k 0.8×	658 0.7×	566 0.6×	646 1.2×	201	7.1k
Linda Li Canada	41	1.8k 0.9×	932 0.5×	275 0.3×	340 0.4×	243 0.5×	258	7.1k
Deborah J. Bowen United States	46	2.5k 1.3×	2.3k 1.3×	1.9k 2.0×	622 0.7×	231 0.4×	265	10.6k
Jon Emery Australia	50	2.2k 1.2×	2.0k 1.1×	4.4k 4.6×	1.1k 1.3×	380 0.7×	330	10.4k
Shannon D. Scott Canada	46	3.1k 1.7×	1.2k 0.6×	455 0.5×	566 0.6×	177 0.3×	303	8.3k

Countries citing papers authored by Joseph C. Kvedar

Since Specialization

Citations

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

Fields of papers citing papers by Joseph C. Kvedar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph C. Kvedar. 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 Joseph C. Kvedar. The network helps show where Joseph C. Kvedar may publish in the future.

Co-authorship network of co-authors of Joseph C. Kvedar

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

All Works

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20 of 20 papers shown

Kvedar, Joseph C., et al.. (2026). The value of doubt: training LLMs to consider diagnostic uncertainty may improve clinical utility. npj Digital Medicine. 9(1). 141–141.

Akbarialiabad, Hossein, Ayman Grada, Shahram Paydar, et al.. (2025). The Utility of Generative AI in Advancing Global Health. NEJM AI. 2(3). 5 indexed citations

Akbarialiabad, Hossein, et al.. (2024). Bridging silicon and carbon worlds with digital twins and on-chip systems in drug discovery. npj Systems Biology and Applications. 10(1). 150–150. 6 indexed citations

Golas, Sara, et al.. (2021). Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial. npj Digital Medicine. 4(1). 97–97. 12 indexed citations

Golas, Sara, et al.. (2021). A randomized trial examining the effect of predictive analytics and tailored interventions on the cost of care. npj Digital Medicine. 4(1). 92–92. 3 indexed citations

Bashshur, Rashid L., Charles R. Doarn, Julio Frenk, et al.. (2020). Beyond the COVID Pandemic, Telemedicine, and Health Care. Telemedicine Journal and e-Health. 26(11). 1310–1313. 51 indexed citations

Kvedar, Joseph C., et al.. (2020). A feasibility study of the burden of disease of atopic dermatitis using a smartphone research application, myEczema. International Journal of Women’s Dermatology. 6(5). 424–428. 6 indexed citations

Kourosh, Arianne Shadi, et al.. (2019). Combining teledermatology with nonphysician members of the health care team to address access and compliance barriers in pediatric atopic dermatitis: A needs assessment. Journal of the American Academy of Dermatology. 83(1). 237–239. 4 indexed citations

Moreau, Jacqueline F., et al.. (2018). Use of user-centered design to create a smartphone application for patient-reported outcomes in atopic dermatitis. npj Digital Medicine. 1(1). 33–33. 10 indexed citations

10.

Centi, Amanda, et al.. (2018). Pilot Study Evaluating the Usability and Acceptability of a Mobile App for Overactive Bladder Disease Management. Iproceedings. 4(2). e11881–e11881. 1 indexed citations

11.

Kakarmath, Sujay, Sara Golas, Jennifer Felsted, et al.. (2018). Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study. JMIR Research Protocols. 7(9). e176–e176. 9 indexed citations

12.

Buijs, Jorn op den, Sara Golas, Jennifer Felsted, et al.. (2018). Predictive Modeling of 30-Day Emergency Hospital Transport of Patients Using a Personal Emergency Response System: Prognostic Retrospective Study. JMIR Medical Informatics. 6(4). e49–e49. 10 indexed citations

13.

Agboola, Stephen, et al.. (2018). Evaluating the Impact of a Web-Based Risk Assessment System (CareSage) and Tailored Interventions on Health Care Utilization: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. 7(5). e10045–e10045. 5 indexed citations

14.

Agboola, Stephen, et al.. (2017). Healthcare utilization in older patients using personal emergency response systems: an analysis of electronic health records and medical alert data. BMC Health Services Research. 17(1). 282–282. 18 indexed citations

15.

Hale, Timothy M., et al.. (2016). A Remote Medication Monitoring System for Chronic Heart Failure Patients to Reduce Readmissions: A Two-Arm Randomized Pilot Study. Journal of Medical Internet Research. 18(4). e91–e91. 75 indexed citations

16.

Hale, Timothy M., et al.. (2015). Prescription Tablets in the Digital Age: A Cross-Sectional Study Exploring Patient and Physician Attitudes Toward the Use of Tablets for Clinic-Based Personalized Health Care Information Exchange. SHILAP Revista de lepidopterología. 4(4). e116–e116. 20 indexed citations

17.

Agboola, Stephen, Mihir Kamdar, Clare Flanagan, et al.. (2014). Pain Management in Cancer Patients Using a Mobile App: Study Design of a Randomized Controlled Trial. JMIR Research Protocols. 3(4). e76–e76. 26 indexed citations

18.

Chang, Trina, et al.. (2014). Web-Based Depression Screening and Psychiatric Consultation for College Students: A Feasibility and Acceptability Study. International Journal of Telemedicine and Applications. 2014. 1–9. 36 indexed citations

19.

Kvedar, Joseph C., et al.. (2010). Text Messages as a Reminder Aid and Educational Tool in Adults and Adolescents with Atopic Dermatitis: A Pilot Study. Dermatology Research and Practice. 2010(1). 35 indexed citations

20.

Kvedar, Joseph C., et al.. (1999). Teledermatology in a Capitated Delivery System Using Distributed Information Architecture: Design and Development. PubMed. 5(4). 357–366. 31 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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