Jin Kim

38 papers receiving 279 citations

Peers

Jin Kim
Comparison fields: 5 of 102
  • Atmospheric Science 77
  • Computer Networks and Communications 56
  • Environmental Engineering 55
  • Artificial Intelligence 54
  • Global and Planetary Change 42
Replace Sihang Qiu with:
Sihang Qiu China
Kohei Arai Japan
Lasse Espeholt United Kingdom
Stefano Bocconi Netherlands
Bayu Kanigoro Indonesia
Hiroe Tsubaki Japan
Tien Huu Belgium
Osama A. Ghoneim Egypt
Subhajit Datta Singapore
Nima Nikzad United States
Jin Kim relative to Sihang Qiu China Sihang Qiu's profile →
Citations per field
00.5×3.5×
Sihang Qiu · 1×
Citations per year

Countries citing papers authored by Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Kim. A scholar is included among the top collaborators of Jin 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 Jin Kim. Jin Kim 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
#WorkIndexed citations
1 2
2 3
3 46
4 6
5 11
6 1
7 63
8 1
9
A Simulation to Estimate the Applicability of Special Use Permit Policy to Seoul Park System
5
10 7
11
Practical Application of CFD for Design of Energy Saving Devices Mounted on Ship Stern
1
12
Memory-Efficient Query Processing over XML Fragment Stream with Fragment Labeling
2
13 8
14
Design and Implementation of Data Deduplication Backup System Supporting Multi-mode Operations
0
15 28
16
A Study on the Impact of Marketability of and Cash Flows from Housing Pre-Sales on the Credit Risk of Project Finance Loans
1
17 9
18 10
19
Evaluation of Websites on Nutrition Information
2
20
Petrochemistry of Granitoids in the Younggwang-Kimje area, Korea
6

About Jin Kim

Jin Kim is a scholar working on Computer Networks and Communications, Information Systems and Health Information Management, having authored 41 papers that have together received 303 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (4 papers) and Cloud Data Security Solutions (3 papers). The work is most often cited by research in Atmospheric Science (77 citations), Environmental Engineering (55 citations) and Health Informatics (4 citations). Jin Kim has collaborated with scholars based in South Korea, United States and Hong Kong. Frequent co-authors include Thomas L. Griffiths, Bas van Opheusden, Andrew J. Orr‐Ewing, Jean‐Christophe Raut, Anke Roiger, Kathy S. Law, Daniel Mellon, Hans Schlager, Simon J. King and Bernadett Weinzierl. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physical Chemistry A and Atmospheric chemistry and physics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026