J. Kim

691 citations
20 papers · 578 indexed · h-index 11

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Fluid Dynamics and Heat Transfer
    • Fluid Dynamics and Thin Films

Papers in

J. Kim

20 papers receiving 553 citations

Peers

J. Kim
Comparison fields: 5 of 51
  • Software 90
  • Computational Mechanics 295
  • Surfaces, Coatings and Films 54
  • Mechanical Engineering 257
  • Biomedical Engineering 172
Replace Andreas Fuchs with:
Andreas Fuchs Germany
Tahir Cader United States
Seth Green United States
Sunghyun Moon South Korea
Arunodaya Bhattacharya United States
Yi Chen Zhong China
Shinobu SAITO Japan
Ju-Yi Lee Taiwan
Masafumi Asano Japan
J. Kim relative to Andreas Fuchs Germany Andreas Fuchs's profile →
Citations per field
00.5×10×15×20×22.5×
Andreas Fuchs · 1×
Citations per year

Countries citing papers authored by J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Kim Line = papers co-authored together J. Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015106
2 199893
3 201368
4 201263
5 199954
6 200348
7 200444
8 200629
9 200415
10 200713
11
User Modeling for Information Access Based on Implicit Feedback
200012
12 20178
13 20097
14 20046
15 20184
16 20043
17 19992
18 20161
19 20021
20 20241

About J. Kim

J. Kim is a scholar working on Computational Mechanics, Surfaces, Coatings and Films, Software, Mechanical Engineering and Aerospace Engineering, having authored 20 papers that have together received 578 indexed citations. Recurring topics across this work include Heat Transfer and Boiling Studies (6 papers), Fluid Dynamics and Heat Transfer (4 papers), Fluid Dynamics and Thin Films (4 papers), Heat Transfer and Optimization (4 papers), Photonic and Optical Devices (3 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Surface Modification and Superhydrophobicity (2 papers) and Semiconductor Lasers and Optical Devices (2 papers). The work is most often cited by research in Software (90 citations), Computational Mechanics (295 citations), Surfaces, Coatings and Films (54 citations), Mechanical Engineering (257 citations) and Biomedical Engineering (172 citations). J. Kim has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Jae-Hoon Jung, Sang‐Jae Kim, Prashant Valluri, Khellil Sefiane, Omar K. Matar, Pedro J. Sáenz, Todd Graves, Gregg Rothermel, Mary Jean Harrold and B. Milan Horáček. Their work appears in journals such as International Journal of Heat and Mass Transfer, Journal of Heat Transfer, International Journal of Heat and Fluid Flow, Inverse Problems in Science and Engineering and Heat and Mass Transfer.

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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