The Impact of Wearable Technologies in Health Research: Scoping Review

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About

This paper, published in 1950, received 176 indexed citations. Written by Sophie Huhn, Hanns‐Christian Gunga, Martina Anna Maggioni, Stephen Munga, David Obor, Ali Sié, Valentin Boudo, Aditi Bunker, Rainer Sauerborn and Till Bärnighausen covering the research area of General Health Professions, Physiology and Applied Psychology. It is primarily cited by scholars working on General Health Professions (41 citations), Biomedical Engineering (40 citations) and Cardiology and Cardiovascular Medicine (33 citations). Published in JMIR mhealth and uhealth.

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Countries where authors are citing The Impact of Wearable Technologies in Health Research: Scoping Review

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Citations

This map shows the geographic impact of The Impact of Wearable Technologies in Health Research: Scoping Review. 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 The Impact of Wearable Technologies in Health Research: Scoping Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Impact of Wearable Technologies in Health Research: Scoping Review more than expected).

Fields of papers citing The Impact of Wearable Technologies in Health Research: Scoping Review

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The Impact of Wearable Technologies in Health Research: Scoping Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Impact of Wearable Technologies in Health Research: Scoping Review.

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.

This paper is also available at doi.org/10.2196/34384.

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