Joon-Seok Kim
- Transportation top 5%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Modeling and Simulation top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Hamdi KavakAndrew CrooksAndreas ZüfleDieter PfoserCarola WenkSeung‐Won OhLucy GuerraDoosup Shin
- Topics
- Human Mobility and Location-Based Analysis (9 papers)Data-Driven Disease Surveillance (4 papers)COVID-19 epidemiological studies (3 papers)
- Journals
- Journal of the American College of CardiologyHypertensionThe American Journal of Cardiology
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Joon-Seok Kim
18 papers receiving 283 citations
Peers
Comparison fields: 5 of 99
- Transportation 79
- Cardiology and Cardiovascular Medicine 68
- Epidemiology 55
- Modeling and Simulation 30
- Public Health, Environmental and Occupational Health 29
Countries citing papers authored by Joon-Seok Kim
This map shows the geographic impact of Joon-Seok Kim'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 Joon-Seok Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon-Seok Kim more than expected).
Fields of papers citing papers by Joon-Seok Kim
This network shows the impact of papers produced by Joon-Seok Kim. 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 Joon-Seok Kim. The network helps show where Joon-Seok Kim may publish in the future.
Co-authorship network of co-authors of Joon-Seok Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Joon-Seok Kim. A scholar is included among the top collaborators of Joon-Seok Kim 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 Joon-Seok Kim. Joon-Seok Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 15 | |
| 6 | 35 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 42 | |
| 12 | 20 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 26 | |
| 16 | 38 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 29 | |
| 20 | Evaluation on Korea’s Money Market Benchmark Interest Rates and the Related Policies | 0 |
About Joon-Seok Kim
Joon-Seok Kim is a scholar working on Transportation, Modeling and Simulation and Geography, Planning and Development, having authored 20 papers that have together received 292 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (9 papers), Data-Driven Disease Surveillance (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Transportation (79 citations), Modeling and Simulation (30 citations) and Cardiology and Cardiovascular Medicine (68 citations). Joon-Seok Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Hamdi Kavak, Andrew Crooks, Andreas Züfle, Dieter Pfoser, Carola Wenk, Seung‐Won Oh, Lucy Guerra, Doosup Shin, Xavier Prida and Eun Sun Lee. Their work appears in journals such as Journal of the American College of Cardiology, Hypertension and The American Journal of Cardiology.
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.