Jin Seog Kim

1.8k citations
39 papers · 1.3k indexed · 1 hit paper · h-index 13
Topics
Scientific Measurement and Uncertainty Evaluation (15 papers)Atmospheric Ozone and Climate (10 papers)Calibration and Measurement Techniques (9 papers)

In The Last Decade

Jin Seog Kim

36 papers receiving 1.3k citations

Hit Papers

A redetermination of the isotopic abundances of atmospher...20062026201220192006250500750

Peers

Jin Seog Kim
Comparison fields: 5 of 96
  • Geophysics 710
  • Atmospheric Science 475
  • Artificial Intelligence 210
  • Paleontology 142
  • Astronomy and Astrophysics 120
Replace Hee‐Soo Yoo with:
Hee‐Soo Yoo South Korea
R. Michael Verkouteren United States
Robert D. Vocke United States
Tiping Ding China
M. Oddone Italy
Johannes Schwieters Germany
Maurizio Petrelli Italy
J. W. Gramlich United States
Stephan Richter Belgium
Matthias Frische Germany
Jin Seog Kim relative to Hee‐Soo Yoo South Korea Hee‐Soo Yoo's profile →
Citations per field
00.5×1.5×
Hee‐Soo Yoo · 1×
Citations per year

Countries citing papers authored by Jin Seog Kim

Since Specialization
Citations

This map shows the geographic impact of Jin Seog 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 Seog 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 Seog Kim more than expected).

Fields of papers citing papers by Jin Seog Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Seog Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Seog Kim. A scholar is included among the top collaborators of Jin Seog 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 Seog Kim. Jin Seog 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 28
2 1
3 24
4 1
5 14
6 2
7 21
8 2
9 15
10 1
11 6
12 8
13
The progress in NF 3 destruction efficiencies of electrically heated scrubbers
0
14 3
15 13
16 15
17 41
18
Comparison of the Sulfur Dioxide Primary Standard Gases of NPL and KRISS
2
19
Construction and Evaluation of Cryogenic Preconcentration System for Analysis of VOC with ppb Level in the Air
1
20 23

About Jin Seog Kim

Jin Seog Kim is a scholar working on Statistics, Probability and Uncertainty, Radiation and Atmospheric Science, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (15 papers), Atmospheric Ozone and Climate (10 papers) and Calibration and Measurement Techniques (9 papers). The work is most often cited by research in Geophysics (710 citations), Atmospheric Science (475 citations) and Paleontology (142 citations). Jin Seog Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jin Bok Lee, Jee‐Yon Lee, Hee‐Soo Yoo, K. Marti, Kenji Kawamura, Jeffrey P. Severinghaus, Jung Dae Lim, Chang Yeon Yu, Ill Min Chung and Sajid Ali. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Energy & Environmental Science and Analytical Chemistry.

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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