Min Chan Kim

2.4k citations
184 papers · 1.9k indexed · h-index 21

Min Chan Kim

180 papers receiving 1.9k citations

Peers

Min Chan Kim
Comparison fields: 5 of 90
  • Computational Mechanics 875
  • Biomedical Engineering 792
  • Mechanical Engineering 381
  • Environmental Engineering 349
  • Materials Chemistry 329
Replace Roberto Mauri with:
Roberto Mauri Italy
GONGBO LONG China
Markku Kataja Finland
Francisco J. Valdés‐Parada Mexico
Vasilis N. Burganos Greece
J. Alberto Ochoa‐Tapia Mexico
V. M. Entov Russia
Mingqing Zou China
Ashok S. Sangani United States
Jalel Azaiez Canada
Min Chan Kim relative to Roberto Mauri Italy Roberto Mauri's profile →
Citations per field
00.5×3.5×
Roberto Mauri · 1×
Citations per year

Countries citing papers authored by Min Chan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Min Chan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Chan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Min Chan Kim. A scholar is included among the top collaborators of Min Chan 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 Min Chan Kim. Min Chan 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
2 0
3 4
4 8
5 3
6 1
7 6
8 3
9 3
10
The Onset and Growth of the Buoyancy-driven Fingering Driven by the Irreversible A+B→C Reaction in a Porous Medium: Reactant Ratio Effect
3
11 1
12 4
13 3
14 9
15 12
16
NutriSyn: Knowledge Based Synonym Retrieval Service for Food and Dishes on the Web
0
17 2
18
Reconstruction of Particle Concentration Distribution in Annular Couette Flow using Electrical Impedance Tomography
2
19
Fixed-Grid Simulation of Convection-Dominated Melting in a Rectangular Cavity
3
20
Models for Mathematical Analysis of Gas-Liquid Reaction Crystallization of Calcium Carbonate in Couette-Taylor Reactor
3

About Min Chan Kim

Min Chan Kim is a scholar working on Computational Mechanics, Environmental Engineering and Condensed Matter Physics, having authored 184 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (50 papers), Fluid Dynamics and Turbulent Flows (45 papers) and Fluid Dynamics and Thin Films (34 papers). The work is most often cited by research in Computational Mechanics (875 citations), Environmental Engineering (349 citations) and Fluid Flow and Transfer Processes (142 citations). Min Chan Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Chang Kyun Choi, Sin Kim, Kyung Youn Kim, Gyeong S. Hwang, Rodney S. Ruoff, Do‐Young Yoon, Dhananjay Yadav, T. J. Chung, Kwang Ho Song and Bum-Jin Chung. Their work appears in journals such as The Journal of Chemical Physics, Applied Physics Letters and Advanced Functional Materials.

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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