Sangjin Ko

43 papers receiving 430 citations

Peers

Sangjin Ko
Comparison fields: 5 of 109
  • Leadership and Management 7
  • Social Psychology 112
  • Radiological and Ultrasound Technology 23
  • Automotive Engineering 57
  • Safety, Risk, Reliability and Quality 37
Replace Michele Oliver with:
Michele Oliver Canada
James F. Parker United States
Julie Paxion France
Andrew Williams United Kingdom
Iraj Alimohammadi Iran
Neha Malhotra New Zealand
Laura Stanley United States
Hideki Takahashi Japan
Eduard Missoni Croatia
John Lenneman United States
Sangjin Ko relative to Michele Oliver Canada Michele Oliver's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sangjin Ko

Since Specialization
Citations

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

Fields of papers citing papers by Sangjin Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200972
2 200442
3 201935
4 202227
5 201326
6 200721
7 202119
8 202218
9 201817
10 201816
11 197616
12 202315
13 201914
14 202010
15 20079
16 20228
17 20218
18 20207
19 20157
20 20036

About Sangjin Ko

Sangjin Ko is a scholar working on Social Psychology, Mechanical Engineering, Automotive Engineering, Control and Systems Engineering and Clinical Psychology, having authored 48 papers that have together received 455 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (7 papers), Safety Warnings and Signage (6 papers), Vehicle Dynamics and Control Systems (5 papers), Traffic control and management (4 papers), Autonomous Vehicle Technology and Safety (3 papers), COVID-19 and Mental Health (3 papers), Traffic and Road Safety (3 papers) and Design Education and Practice (2 papers). The work is most often cited by research in Leadership and Management (7 citations), Social Psychology (112 citations), Radiological and Ultrasound Technology (23 citations), Automotive Engineering (57 citations) and Safety, Risk, Reliability and Quality (37 citations). Sangjin Ko has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Myounghoon Jeon, Eun Kyeung Song, Yiqi Zhang, Takahiko Aoyama, Kanae Nishizawa, Keiichi Akahane, Shuji Koyama, Keisuke Fujii, Seul Chan Lee and Seokwoo Hong. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, IEEE Access, International Journal of Environmental Research and Public Health, International Journal of Human-Computer Interaction and IEEE Transactions on Microwave Theory and Techniques.

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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