Roy C. Park

29 papers receiving 537 citations

Peers

Roy C. Park
Comparison fields: 5 of 86
  • Health Information Management 147
  • Health Informatics 13
  • Information Systems 143
  • Information Systems and Management 40
  • Artificial Intelligence 181
Replace Andreas Menychtas with:
Andreas Menychtas Greece
Hoill Jung South Korea
Jean-Paul Calbimonte Switzerland
Revathi Sundarasekar India
Ryan Alturki Saudi Arabia
Meirav Taieb‐Maimon Israel
Harishchandra Dubey United States
Raafat Aburukba United Arab Emirates
Edward Rolando Núñez‐Valdéz Spain
Alex Page United States
Roy C. Park relative to Andreas Menychtas Greece Andreas Menychtas's profile →
Citations per field
00.5×3.2×
Andreas Menychtas · 1×
Citations per year

Countries citing papers authored by Roy C. Park

Since Specialization
Citations

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

Fields of papers citing papers by Roy C. Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy C. Park. 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 Roy C. Park. The network helps show where Roy C. Park may publish in the future.

Co-authors

The 17 scholars most cited alongside Roy C. Park, 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 Roy C. Park Line = papers co-authored together Roy C. Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018105
2 201548
3 202045
4 201543
5 202038
6 201635
7 202131
8 201429
9 202021
10 201419
11 201416
12 201915
13 202014
14 202013
15 201913
16 20209
17 20219
18
IoT-Based Health Big-Data Process Technologies: A Survey
20218
19 20148
20 20187

About Roy C. Park

Roy C. Park is a scholar working on Health Information Management, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 30 papers that have together received 556 indexed citations. Recurring topics across this work include Innovation in Digital Healthcare Systems (13 papers), Technology and Data Analysis (8 papers), Internet of Things and Social Network Interactions (5 papers), Context-Aware Activity Recognition Systems (4 papers), AI in cancer detection (4 papers), IoT and Edge/Fog Computing (4 papers), COVID-19 diagnosis using AI (2 papers) and Big Data and Business Intelligence (2 papers). The work is most often cited by research in Health Information Management (147 citations), Health Informatics (13 citations), Information Systems (143 citations), Information Systems and Management (40 citations) and Artificial Intelligence (181 citations). Roy C. Park has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Kyungyong Chung, Dong-Hoon Shin, Hoill Jung, Chang‐Min Kim, Joo-Chang Kim, Hyun Seung Yoo, Kun‐Ho Yoon, Dongkun Shin, Dong Hoon Shin and Kang‐Dae Lee. Their work appears in journals such as IEEE Access, Applied Sciences, Personal and Ubiquitous Computing, Multimedia Tools and Applications and Information Technology and Management.

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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