Mark Shervey
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Digital Mental Health Interventions
Papers in
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- IoT and Edge/Fog Computing 2
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- Heart Rate Variability and Autonomic Control 2
- ECG Monitoring and Analysis 1
- Co-authors
- Joel T. Dudley (5 shared papers)Noah Zimmerman (3 shared papers)Michael N. Jones (2 shared papers)Andrea Coravos (1 shared paper)Christine Manta (1 shared paper)William A. Wood (1 shared paper)Jennifer C. Goldsack (1 shared paper)Megan Doerr (1 shared paper)
- Journals
- Journal of Medical Internet Research (2 papers)Sensors (1 paper)npj Digital Medicine (1 paper)Journal of Clinical Monitoring and Computing (1 paper)Inflammatory Bowel Diseases (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Mark Shervey
7 papers receiving 167 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 13
- Applied Psychology 26
- Information Systems 44
- General Health Professions 36
- Family Practice 3
Countries citing papers authored by Mark Shervey
This map shows the geographic impact of Mark Shervey'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 Mark Shervey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Shervey more than expected).
Fields of papers citing papers by Mark Shervey
This network shows the impact of papers produced by Mark Shervey. 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 Mark Shervey. The network helps show where Mark Shervey may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Shervey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2020 | 40 | |
| 3 | 2019 | 28 | |
| 4 | 2019 | 22 | |
| 5 | 2020 | 11 | |
| 6 | 2022 | 4 | |
| 7 | 2018 | 4 |
About Mark Shervey
Mark Shervey is a scholar working on Computer Networks and Communications, Cardiology and Cardiovascular Medicine, Information Systems, Artificial Intelligence and Applied Psychology, having authored 7 papers that have together received 171 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Digital Mental Health Interventions (2 papers), IoT and Edge/Fog Computing (2 papers), Sleep and Work-Related Fatigue (1 paper), Digital Imaging for Blood Diseases (1 paper), ECG Monitoring and Analysis (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (13 citations), Applied Psychology (26 citations), Information Systems (44 citations), General Health Professions (36 citations) and Family Practice (3 citations). Mark Shervey has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Joel T. Dudley, Noah Zimmerman, Michael N. Jones, Andrea Coravos, Christine Manta, William A. Wood, Jennifer C. Goldsack, Megan Doerr, Matteo Danieletto and Jenny Sauk. Their work appears in journals such as Journal of Medical Internet Research, Sensors, npj Digital Medicine, Journal of Clinical Monitoring and Computing and Inflammatory Bowel Diseases.
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.