Stephen Agboola

1.6k total citations
34 papers, 1.0k citations indexed

About

Stephen Agboola is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Stephen Agboola has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Epidemiology. Recurrent topics in Stephen Agboola's work include Mobile Health and mHealth Applications (13 papers), Chronic Disease Management Strategies (5 papers) and Digital Mental Health Interventions (4 papers). Stephen Agboola is often cited by papers focused on Mobile Health and mHealth Applications (13 papers), Chronic Disease Management Strategies (5 papers) and Digital Mental Health Interventions (4 papers). Stephen Agboola collaborates with scholars based in United States, Netherlands and South Africa. Stephen Agboola's co-authors include Kamal Jethwani, Joseph C. Kvedar, Megan Murray, Devra M. Barter, Till Bärnighausen, Jennifer Felsted, Aymen Elfiky, Sara Golas, Woong Ju and Lenny López and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and BMC Public Health.

In The Last Decade

Stephen Agboola

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Agboola United States 16 386 188 188 153 137 34 1.0k
Shantanu Nundy United States 15 674 1.7× 139 0.7× 206 1.1× 81 0.5× 89 0.6× 18 1.3k
Allen Hsiao United States 20 277 0.7× 102 0.5× 312 1.7× 225 1.5× 130 0.9× 52 1.4k
Marcelline R. Harris United States 18 737 1.9× 191 1.0× 177 0.9× 233 1.5× 136 1.0× 62 1.7k
Chris Cotoi Canada 8 408 1.1× 311 1.7× 116 0.6× 129 0.8× 39 0.3× 10 1.9k
Maria Beatriz Moreira Alkmim Brazil 13 850 2.2× 169 0.9× 299 1.6× 160 1.0× 87 0.6× 36 1.3k
Kenrick Cato United States 22 668 1.7× 83 0.4× 352 1.9× 264 1.7× 462 3.4× 125 2.0k
Charles Rareshide United States 19 427 1.1× 130 0.7× 345 1.8× 68 0.4× 34 0.2× 44 1.1k
Lisa Grossman Liu United States 17 352 0.9× 50 0.3× 203 1.1× 85 0.6× 189 1.4× 36 915
Wyndy L. Wiitala United States 22 320 0.8× 267 1.4× 238 1.3× 386 2.5× 42 0.3× 44 1.9k
Theresa Cullen United States 15 423 1.1× 39 0.2× 187 1.0× 173 1.1× 244 1.8× 49 1.1k

Countries citing papers authored by Stephen Agboola

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stephen Agboola

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

All Works

20 of 20 papers shown
1.
Agboola, Stephen, et al.. (2019). A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study. JMIR Diabetes. 4(3). e12905–e12905. 20 indexed citations
2.
Centi, Amanda, Sara Golas, Sagar Kamarthi, et al.. (2019). Factors Influencing Exercise Engagement When Using Activity Trackers: Nonrandomized Pilot Study. JMIR mhealth and uhealth. 7(10). e11603–e11603. 4 indexed citations
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Agboola, Stephen, Sara Golas, Jorn op den Buijs, et al.. (2018). Health Care Cost Analyses for Exploring Cost Savings Opportunities in Older Patients: Longitudinal Retrospective Study. JMIR Aging. 1(2). e10254–e10254. 9 indexed citations
5.
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
6.
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
7.
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
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Mansour, Moussa, et al.. (2018). Evaluating the Usability and Usefulness of a Mobile App for Atrial Fibrillation Using Qualitative Methods: Exploratory Pilot Study. JMIR Human Factors. 5(1). e13–e13. 19 indexed citations
10.
Kakarmath, Sujay, et al.. (2018). Assessing the Usability of an Automated Continuous Temperature Monitoring Device (iThermonitor) in Pediatric Patients: Non-Randomized Pilot Study. JMIR Pediatrics and Parenting. 1(2). e10804–e10804. 9 indexed citations
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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
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Agboola, Stephen, et al.. (2015). Patient Engagement With a Mobile Web-Based Telemonitoring System for Heart Failure Self-Management: A Pilot Study. JMIR mhealth and uhealth. 3(2). e33–e33. 73 indexed citations
16.
Agboola, Stephen, Woong Ju, Aymen Elfiky, Joseph C. Kvedar, & Kamal Jethwani. (2015). The Effect of Technology-Based Interventions on Pain, Depression, and Quality of Life in Patients With Cancer: A Systematic Review of Randomized Controlled Trials. Journal of Medical Internet Research. 17(3). e65–e65. 105 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.
Agboola, Stephen, et al.. (2014). “Real-World” Practical Evaluation Strategies: A Review of Telehealth Evaluation. JMIR Research Protocols. 3(4). e75–e75. 36 indexed citations
19.
Agboola, Stephen & Joseph C. Kvedar. (2012). Institutional Profile: Center for Connected Health. Personalized Medicine. 9(3). 337–340. 1 indexed citations
20.
Barter, Devra M., Stephen Agboola, Megan Murray, & Till Bärnighausen. (2012). Tuberculosis and poverty: the contribution of patient costs in sub-Saharan Africa – a systematic review. BMC Public Health. 12(1). 980–980. 142 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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