Luis Kun

40 papers receiving 485 citations

Peers

Luis Kun
Comparison fields: 5 of 147
  • Health Information Management 47
  • Medical Laboratory Technology 8
  • Health Informatics 7
  • Biomedical Engineering 139
  • Computer Networks and Communications 69
Replace Niloofar Mohammadzadeh with:
Niloofar Mohammadzadeh Iran
Leslie Mertz United States
Hamidreza Memarzadeh‐Tehran Iran
Elvis Camacho United States
Ilias Iakovidis Belgium
Alexander Berler Greece
Rune Fensli Norway
Sofiane Hamrioui France
Divya Mehrotra India
Luis Kun relative to Niloofar Mohammadzadeh Iran Niloofar Mohammadzadeh's profile →
Citations per field
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Niloofar Mohammadzadeh · 1×
Citations per year

Countries citing papers authored by Luis Kun

Since Specialization
Citations

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

Fields of papers citing papers by Luis Kun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luis Kun, 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 Luis Kun Line = papers co-authored together Luis Kun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999163
2 200183
3 200883
4 201623
5 200219
6 200717
7 202114
8 200210
9 201410
10
Improving outcomes with interoperable EHRs and secure global health information infrastructure.
20089
11 20088
12 20078
13 20088
14 20047
15 20047
16 20067
17
The use of technology to transform the home into a safe-haven.
20075
18 20195
19 20145
20 20085

About Luis Kun

Luis Kun is a scholar working on Public Health, Environmental and Occupational Health, Health Information Management, Biomedical Engineering, Information Systems and Management and Molecular Biology, having authored 50 papers that have together received 535 indexed citations. Recurring topics across this work include Electronic Health Records Systems (6 papers), Biomedical and Engineering Education (6 papers), Telemedicine and Telehealth Implementation (4 papers), Health and Medical Research Impacts (4 papers), Research, Science, and Academia (2 papers), Information and Cyber Security (2 papers), Adolescent and Pediatric Healthcare (1 paper) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Health Information Management (47 citations), Medical Laboratory Technology (8 citations), Health Informatics (7 citations), Biomedical Engineering (139 citations) and Computer Networks and Communications (69 citations). Luis Kun has collaborated with scholars based in United States, Argentina and Uruguay. Frequent co-authors include Christian Macedonia, James Geiling, Joseph M. Rosen, David A. Bray, Eliot B. Grigg, Richard M. Satava, Stephanie Long, C. Everett Koop, Ricardo L. Armentano and S. Laxminarayan. Their work appears in journals such as IEEE Technology and Society Magazine, Telemedicine Journal and e-Health, Computer Methods and Programs in Biomedicine, IEEE Engineering Management Review and IEEE Journal of Biomedical and Health Informatics.

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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