Michael McShea

697 citations
11 papers · 447 · 1 hit paper · h-index 5

Impact in

Papers in

Michael McShea

10 papers receiving 437 citations

Michael McShea's Hit Papers

Digital health: a path to validation 2019 · 348 citations
3480+2+4Years since publication100200300

Peers

Michael McShea
Comparison fields: 5 of 95
  • Health Informatics 37
  • Applied Psychology 61
  • Health Information Management 36
  • General Health Professions 106
  • Issues, ethics and legal aspects 3
Replace Casey Hanley with:
Casey Hanley United States
Sara Chokshi United States
Ashley C Griffin United States
Saira Ghafur United Kingdom
Mahmood Tara Iran
Haipeng Zhang United States
Lasse Østengaard Denmark
Valerie Watzlaf United States
Ildar Fakhradiyev Kazakhstan
Hadi Lotfnezhad Afshar Iran
Michael McShea relative to Casey Hanley United States Casey Hanley's profile →
Citations per field
00.5×1.5×
Casey Hanley · 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 →
2019348
2 201045
3 202127
4 20199
5 20096
6 20224
7 20213
8 20063
9 20241
10 20071
11
A Collaboration Between Industry, Health-Care Providers, and Academia
20100

About Michael McShea

Michael McShea is a scholar working on Health Information Management, General Health Professions, Management Information Systems, Public Health, Environmental and Occupational Health and Applied Psychology, having authored 11 papers that have together received 447 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (2 papers), Electronic Health Records Systems (2 papers), Mobile Health and mHealth Applications (2 papers), Information Technology Governance and Strategy (2 papers), Big Data and Business Intelligence (2 papers), Biomedical Text Mining and Ontologies (1 paper), Pharmaceutical industry and healthcare (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Health Informatics (37 citations), Applied Psychology (61 citations), Health Information Management (36 citations), General Health Professions (106 citations) and Issues, ethics and legal aspects (3 citations). Michael McShea has collaborated with scholars based in United States, Finland and Netherlands. Frequent co-authors include Adam B. Cohen, Simon C. Mathews, Alan Ravitz, Casey Hanley, Alain Labrique, Richard R. Riker, Omar Badawi, Jonathan Webster, Ramy Sedhom and Hadi Kharrazi. Their work appears in journals such as IT Professional, npj Digital Medicine, 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.

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