Michael S. Dohan

786 total citations
26 papers, 530 citations indexed

About

Michael S. Dohan is a scholar working on Health Information Management, General Health Professions and Management Information Systems. According to data from OpenAlex, Michael S. Dohan has authored 26 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health Information Management, 7 papers in General Health Professions and 5 papers in Management Information Systems. Recurrent topics in Michael S. Dohan's work include Electronic Health Records Systems (6 papers), Mobile Health and mHealth Applications (5 papers) and Big Data and Business Intelligence (4 papers). Michael S. Dohan is often cited by papers focused on Electronic Health Records Systems (6 papers), Mobile Health and mHealth Applications (5 papers) and Big Data and Business Intelligence (4 papers). Michael S. Dohan collaborates with scholars based in Canada, United States and Brazil. Michael S. Dohan's co-authors include Joseph Tan, Michele Kremer Sott, Leonardo B. Furstenau, Alexander Serenko, José Ricardo López-Robles, Manuel J. Cobo, Liane Mählmann Kipper, Ênio Leandro Machado, Qammer H. Abbasi and Adnan Zahid and has published in prestigious journals such as IEEE Access, International Journal of Environmental Research and Public Health and Journal of the Association for Information Systems.

In The Last Decade

Michael S. Dohan

24 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Dohan Canada 12 103 96 78 68 59 26 530
Bernard T. Han United States 13 64 0.6× 56 0.6× 125 1.6× 85 1.3× 25 0.4× 37 505
Jiunn-I Shieh Taiwan 13 258 2.5× 60 0.6× 133 1.7× 46 0.7× 15 0.3× 29 1.0k
Kuan-Kai Huang Taiwan 4 149 1.4× 37 0.4× 88 1.1× 34 0.5× 11 0.2× 7 534
Ying‐Chyi Chou Taiwan 13 120 1.2× 109 1.1× 118 1.5× 45 0.7× 7 0.1× 54 749
Hendry Raharjo Sweden 16 139 1.3× 45 0.5× 142 1.8× 22 0.3× 24 0.4× 38 821
Hatice Camgöz Akdağ Türkiye 15 167 1.6× 34 0.4× 89 1.1× 31 0.5× 14 0.2× 41 676
Mohsen Jahangirian United Kingdom 10 76 0.7× 235 2.4× 190 2.4× 31 0.5× 18 0.3× 15 729
Christian Wernz United States 13 83 0.8× 20 0.2× 70 0.9× 27 0.4× 44 0.7× 35 422
Kevin Neailey United Kingdom 14 170 1.7× 45 0.5× 226 2.9× 29 0.4× 35 0.6× 23 591
Min-Chun Yu Taiwan 13 178 1.7× 76 0.8× 204 2.6× 61 0.9× 8 0.1× 24 642

Countries citing papers authored by Michael S. Dohan

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Dohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Dohan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Dohan. A scholar is included among the top collaborators of Michael S. Dohan 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 S. Dohan. Michael S. Dohan 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.
Furstenau, Leonardo B., Michele Kremer Sott, Michael S. Dohan, et al.. (2023). Big data in healthcare: Conceptual network structure, key challenges and opportunities. Digital Communications and Networks. 9(4). 856–868. 17 indexed citations
2.
Furstenau, Leonardo B., et al.. (2021). A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020. International Journal of Environmental Research and Public Health. 18(3). 952–952. 60 indexed citations
3.
Furstenau, Leonardo B., Michele Kremer Sott, Liane Mählmann Kipper, et al.. (2021). An overview of 42 years of lean production: applying bibliometric analysis to investigate strategic themes and scientific evolution structure. Technology Analysis and Strategic Management. 33(9). 1068–1087. 22 indexed citations
4.
Chatterjee, Sheshadri & Michael S. Dohan. (2021). Artificial Intelligence for Healthcare in India. International Journal of Healthcare Information Systems and Informatics. 16(4). 1–11. 13 indexed citations
5.
Furstenau, Leonardo B., Michele Kremer Sott, Liane Mählmann Kipper, et al.. (2020). Link Between Sustainability and Industry 4.0: Trends, Challenges and New Perspectives. IEEE Access. 8. 140079–140096. 175 indexed citations
6.
Dohan, Michael S., Christopher B. Califf, Kaushik Ghosh, & Joseph Tan. (2020). Digital transformation in healthcare: New value for a new movement. Health Policy and Technology. 9(2). 177–178. 9 indexed citations
7.
Ghosh, Kaushik, et al.. (2018). Digital Transformation Strategies for Healthcare Providers: Perspectives from Senior Leadership. Journal of the Association for Information Systems. 4 indexed citations
8.
Dohan, Michael S., et al.. (2017). The impact of healthcare informatics competencies on dynamic capabilities: A multilevel study of paramedic services. Health Policy and Technology. 6(4). 426–435. 14 indexed citations
9.
Tan, Joseph, Ofir Turel, & Michael S. Dohan. (2017). A Hybrid Mining Approach to Facilitate Health Insurance Decision: Case Study of Non-Traditional Data Mining Applications in Taiwan NHI Databases. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations
10.
Serenko, Alexander, Michael S. Dohan, & Joseph Tan. (2017). Global Ranking of Management- and Clinical-Centered eHealth Journals. Communications of the Association for Information Systems. 41. 198–215. 12 indexed citations
11.
Dohan, Michael S., et al.. (2016). Assessing the Impact of Nursing Informatics Competencies on Decision Making Satisfaction: Results of a Preliminary Study. Americas Conference on Information Systems. 1 indexed citations
12.
Hardie, Timothy, et al.. (2015). Measuring the Impact of Nursing Informatics Competencies on Decision Satisfaction: Theoretical Model and Direction for New Research. CONF-IRM. 12. 1 indexed citations
13.
14.
Or, Calvin Kalun, Michael S. Dohan, & Joseph Tan. (2014). Understanding Critical Barriers to Implementing a Clinical Information System in a Nursing Home Through the Lens of a Socio-Technical Perspective. Journal of Medical Systems. 38(9). 99–99. 41 indexed citations
15.
Dohan, Michael S. & Joseph Tan. (2014). Enhancing Patient Physician Communication with Electronic Symptom Reporting (ESR): A Multilevel Model. Communications of the Association for Information Systems. 34. 4 indexed citations
16.
Dohan, Michael S. & Joseph Tan. (2013). Perceived Usefulness and Behavioral Intention to Use Consumer-Oriented Web-Based Health Tools: A Meta-Analysis. Americas Conference on Information Systems. 15 indexed citations
17.
18.
Dohan, Michael S., et al.. (2012). The RCQ Model. International Journal of Healthcare Information Systems and Informatics. 7(2). 29–45. 1 indexed citations
19.
Dohan, Michael S. & Joseph Tan. (2011). Lose It!. International Journal of Healthcare Information Systems and Informatics. 6(2). 60–65. 2 indexed citations
20.
Serenko, Alexander & Michael S. Dohan. (2011). Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence. Journal of Informetrics. 5(4). 629–648. 56 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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