Jinha Kim

75 papers receiving 1.3k citations

Peers

Jinha Kim
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 318
  • Computer Networks and Communications 257
  • Statistical and Nonlinear Physics 240
  • Information Systems 234
  • Artificial Intelligence 217
Replace David Powers with:
David Powers Australia
Kazushi Ikeda Japan
Hyunwoo Kim South Korea
Paolo Avesani Italy
Yizhe Zhang China
Jun Long China
Derek Rose United States
Charles Blundell United Kingdom
Rahul Gupta United States
Jinha Kim relative to David Powers Australia David Powers's profile →
Citations per field
00.5×3.9×
David Powers · 1×
Citations per year

Countries citing papers authored by Jinha Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jinha Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinha Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jinha Kim. A scholar is included among the top collaborators of Jinha 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 Jinha Kim. Jinha 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 0
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9
The Determinants of Involuntary Non-standard Employment by Firm Size
1
10 1
11 13
12
An Experimental Study On the Response of FSRU In Shallow Water In Comparison of Mooring Systems
1
13
Vision-Based Dynamic Motion Measurement of a Floating Structure Using Multiple Targets under Wave Loadings
0
14
Path Tracking Control Based on RMAC in Horizontal Plane for a Torpedo-Shape AUV, ISiMi
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15
Brittle rock property and damage index assessment for predicting brittle failure in underground opening
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16 20
17 3
18
An Analysis of Rolling Performance for a Barge-Type FPSO
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A Hybrid Model Test of a Deepwater OTEC Mooring System
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20 10

About Jinha Kim

Jinha Kim is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Signal Processing, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (9 papers), Caching and Content Delivery (8 papers) and Photonic and Optical Devices (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (240 citations), Computer Vision and Pattern Recognition (318 citations) and Signal Processing (156 citations). Jinha Kim has collaborated with scholars based in South Korea, United States and Israel. Frequent co-authors include Hwanjo Yu, Hwanjo Yu, Wook-Shin Han, Jungeun Lee, Myoung‐Ho Hyun, Jin-Ho Lee, Jeong-Hoon Lee, Minsoo Kim, Hassan Chafi and Sungpack Hong. Their work appears in journals such as Journal of Neuroscience, Journal of Power Sources and Chemical Communications.

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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