Stephen Agboola
Impact in
- Health Informatics top 2%
-
- Artificial Intelligence in Healthcare
Papers in
-
- Mobile Health and mHealth Applications 13
- Co-authors
- Kamal Jethwani (30 shared papers)Joseph C. Kvedar (29 shared papers)Megan Murray (1 shared paper)Till Bärnighausen (1 shared paper)Devra M. Barter (1 shared paper)Jennifer Felsted (6 shared papers)Aymen Elfiky (2 shared papers)Sara Golas (8 shared papers)
- Journals
- JMIR mhealth and uhealth (4 papers)Journal of Medical Internet Research (3 papers)Circulation Cardiovascular Quality and Outcomes (1 paper)Journal of Diabetes Science and Technology (1 paper)JAMA (1 paper)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Stephen Agboola
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Health Informatics 55
- Health Information Management 137
- Applied Psychology 126
- Family Practice 48
- General Health Professions 386
Countries citing papers authored by Stephen Agboola
This map shows the geographic impact of Stephen Agboola'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 Stephen Agboola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Agboola more than expected).
Fields of papers citing papers by Stephen Agboola
This network shows the impact of papers produced by Stephen Agboola. 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 Stephen Agboola. The network helps show where Stephen Agboola may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Agboola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | 2012 | 142 | |
| 3 | 2015 | 105 | |
| 4 | 2019 | 90 | |
| 5 | 2015 | 73 | |
| 6 | 2016 | 69 | |
| 7 | 2016 | 46 | |
| 8 | 2017 | 37 | |
| 9 | 2014 | 36 | |
| 10 | 2014 | 28 | |
| 11 | 2014 | 26 | |
| 12 | 2019 | 20 | |
| 13 | 2015 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2017 | 18 | |
| 16 | 2013 | 17 | |
| 17 | 2018 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2018 | 9 |
About Stephen Agboola
Stephen Agboola is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine, Epidemiology, Applied Psychology and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (13 papers), Chronic Disease Management Strategies (5 papers), Physical Activity and Health (4 papers), Digital Mental Health Interventions (4 papers), Diabetes Management and Research (3 papers), Telemedicine and Telehealth Implementation (3 papers), Medication Adherence and Compliance (3 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Health Informatics (55 citations), Health Information Management (137 citations), Applied Psychology (126 citations), Family Practice (48 citations) and General Health Professions (386 citations). Stephen Agboola has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Kamal Jethwani, Joseph C. Kvedar, Megan Murray, Till Bärnighausen, Devra M. Barter, Jennifer Felsted, Aymen Elfiky, Sara Golas, Woong Ju and Meghan Searl. Their work appears in journals such as JMIR mhealth and uhealth, Journal of Medical Internet Research, Circulation Cardiovascular Quality and Outcomes, Journal of Diabetes Science and Technology and JAMA.
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.