Michael McShea

675 total citations · 1 hit paper
11 papers, 403 citations indexed

About

Michael McShea is a scholar working on General Health Professions, Health Information Management and Management Information Systems. According to data from OpenAlex, Michael McShea has authored 11 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 3 papers in Health Information Management and 2 papers in Management Information Systems. Recurrent topics in Michael McShea's work include Big Data and Business Intelligence (2 papers), Primary Care and Health Outcomes (2 papers) and Chronic Disease Management Strategies (2 papers). Michael McShea is often cited by papers focused on Big Data and Business Intelligence (2 papers), Primary Care and Health Outcomes (2 papers) and Chronic Disease Management Strategies (2 papers). Michael McShea collaborates with scholars based in United States, Finland and Netherlands. Michael McShea's co-authors include Simon C. Mathews, Adam B. Cohen, Casey Hanley, Alan Ravitz, Alain Labrique, Omar Badawi, Richard R. Riker, Ramy Sedhom, Jonathan Webster and Hadi Kharrazi and has published in prestigious journals such as npj Digital Medicine, Military Medicine and IT Professional.

In The Last Decade

Michael McShea

9 papers receiving 395 citations

Hit Papers

Digital health: a path to validation 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael McShea United States 5 154 100 90 50 39 11 403
Sara Chokshi United States 11 171 1.1× 105 1.1× 59 0.7× 41 0.8× 66 1.7× 18 447
Casey Hanley United States 5 141 0.9× 93 0.9× 80 0.9× 18 0.4× 32 0.8× 6 349
Haipeng Zhang United States 8 151 1.0× 103 1.0× 82 0.9× 19 0.4× 26 0.7× 15 373
Aaron Neinstein United States 14 217 1.4× 115 1.1× 57 0.6× 50 1.0× 63 1.6× 30 689
Conceição Granja Norway 7 277 1.8× 141 1.4× 113 1.3× 24 0.5× 70 1.8× 22 550
Saira Ghafur United Kingdom 10 177 1.1× 167 1.7× 71 0.8× 27 0.5× 70 1.8× 41 549
Lasse Østengaard Denmark 9 106 0.7× 90 0.9× 28 0.3× 37 0.7× 36 0.9× 17 396
Ruth Agbakoba United Kingdom 5 132 0.9× 79 0.8× 49 0.5× 18 0.4× 40 1.0× 7 281
Frédéric Ehrler Switzerland 14 223 1.4× 77 0.8× 77 0.9× 27 0.5× 71 1.8× 80 627
Sven Meister Germany 10 139 0.9× 75 0.8× 67 0.7× 18 0.4× 36 0.9× 53 334

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-authorship network of co-authors of Michael McShea

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

All Works

11 of 11 papers shown
2.
McShea, Michael, et al.. (2022). Improving the Prediction of Persistent High Health Care Utilizers: Retrospective Analysis Using Ensemble Methodology. JMIR Medical Informatics. 10(3). e33212–e33212. 4 indexed citations
3.
Sedhom, Ramy, Michael McShea, Adam B. Cohen, Jonathan Webster, & Simon C. Mathews. (2021). Mobile app validation: a digital health scorecard approach. npj Digital Medicine. 4(1). 111–111. 24 indexed citations
4.
McShea, Michael, et al.. (2021). Assessing the Value of Unsupervised Clustering in Predicting Persistent High Health Care Utilizers: Retrospective Analysis of Insurance Claims Data. JMIR Medical Informatics. 9(11). e31442–e31442. 2 indexed citations
5.
Mathews, Simon C., et al.. (2019). Reply: Some considerations on digital health validation. npj Digital Medicine. 2(1). 103–103. 9 indexed citations
6.
Mathews, Simon C., Michael McShea, Casey Hanley, et al.. (2019). Digital health: a path to validation. npj Digital Medicine. 2(1). 38–38. 314 indexed citations breakdown →
7.
McShea, Michael, et al.. (2010). The eICU Research Institute - A Collaboration Between Industry, Health-Care Providers, and Academia. IEEE Engineering in Medicine and Biology Magazine. 29(2). 18–25. 43 indexed citations
8.
McShea, Michael, et al.. (2010). A Collaboration Between Industry, Health-Care Providers, and Academia.
9.
McShea, Michael. (2009). Return on Infrastructure, the New ROI. IT Professional. 11(4). 12–16. 4 indexed citations
10.
McShea, Michael. (2007). Communicating IT's Value in a Modern Business Climate. IT Professional. 9(1). 42–45. 1 indexed citations
11.
McShea, Michael. (2006). IT Value Management: Creating a Balanced Program. IT Professional. 8(6). 31–37. 2 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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