Michael McShea

675 citations
11 papers · 403 indexed · 1 hit paper · h-index 5

Impact in

Papers in

Michael McShea

9 papers receiving 395 citations

Hit Papers

Digital health: a path to validation 2019 · 314 citations
3142019202620212023100200300

Peers

Michael McShea
Comparison fields: 5 of 100
  • Health Informatics 36
  • Applied Psychology 90
  • Health Information Management 39
  • General Health Professions 154
  • Public Health, Environmental and Occupational Health 100
Replace Sara Chokshi with:
Sara Chokshi United States
Casey Hanley United States
Haipeng Zhang United States
Lasse Østengaard Denmark
Sven Meister Germany
Sadrieh Hajesmaeel‐Gohari Iran
Frédéric Ehrler Switzerland
Saira Ghafur United Kingdom
Mahmood Tara Iran
Oliver J. Canfell Australia
Michael McShea relative to Sara Chokshi United States Sara Chokshi's profile →
Citations per field
00.5×3.5×
Sara Chokshi · 1×
Citations per year

Countries citing papers authored by Michael McShea

Since Specialization
Citations

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

Fields of papers citing papers by Michael McShea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael McShea. 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 Michael McShea. The network helps show where Michael McShea may publish in the future.

Co-authors

The 14 scholars most cited alongside Michael McShea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael McShea Line = papers co-authored together Michael McShea links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Digital health: a path to validation
Hit paper breakdown →
2019314
2 201043
3 202124
4 20199
5 20224
6 20094
7 20062
8 20212
9 20071
10
A Collaboration Between Industry, Health-Care Providers, and Academia
20100
11 20240

About Michael McShea

Michael McShea is a scholar working on Health Information Management, Applied Psychology, Management Information Systems, Radiological and Ultrasound Technology and General Health Professions, having authored 11 papers that have together received 403 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Electronic Health Records Systems (2 papers), Primary Care and Health Outcomes (2 papers), Digital Mental Health Interventions (2 papers), Chronic Disease Management Strategies (2 papers), Information Technology Governance and Strategy (2 papers), Mobile Health and mHealth Applications (2 papers) and Medical Coding and Health Information (1 paper). The work is most often cited by research in Health Informatics (36 citations), Applied Psychology (90 citations), Health Information Management (39 citations), General Health Professions (154 citations) and Public Health, Environmental and Occupational Health (100 citations). Michael McShea has collaborated with scholars based in United States, Finland and Netherlands. Frequent co-authors include Simon C. Mathews, Adam B. Cohen, Casey Hanley, Alan Ravitz, Alain Labrique, Richard R. Riker, Omar Badawi, Ramy Sedhom, Jonathan Webster and Hsien‐Yen Chang. Their work appears in journals such as npj Digital Medicine, IT Professional, JMIR Medical Informatics, Military Medicine and IEEE Engineering in Medicine and Biology Magazine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026