JaeHyuk Kwack

415 citations
16 papers · 249 indexed · h-index 9
Topics
Advanced Numerical Methods in Computational Mathematics (6 papers)Advanced Mathematical Modeling in Engineering (6 papers)Parallel Computing and Optimization Techniques (5 papers)

In The Last Decade

JaeHyuk Kwack

15 papers receiving 242 citations

Peers

JaeHyuk Kwack
Comparison fields: 5 of 55
  • Computational Mechanics 110
  • Biomedical Engineering 65
  • Fluid Flow and Transfer Processes 61
  • Surgery 52
  • Pulmonary and Respiratory Medicine 45
Replace M. Umar Qureshi with:
M. Umar Qureshi United States
E. P. Siva India
Torsten Schenkel United Kingdom
Abdul Moiz Pakistan
B.J.B.M. Wolters Netherlands
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Nabeela Kousar Pakistan
Rathna Devanathan India
Jiayu Luo China
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JaeHyuk Kwack relative to M. Umar Qureshi United States M. Umar Qureshi's profile →
Citations per field
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Citations per year

Countries citing papers authored by JaeHyuk Kwack

Since Specialization
Citations

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

Fields of papers citing papers by JaeHyuk Kwack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JaeHyuk Kwack

This figure shows the co-authorship network connecting the top 25 collaborators of JaeHyuk Kwack. A scholar is included among the top collaborators of JaeHyuk Kwack 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 JaeHyuk Kwack. JaeHyuk Kwack is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 6
5 14
6 12
7 1
8 6
9 12
10 49
11 24
12 50
13 18
14 27
15 19
16 7

About JaeHyuk Kwack

JaeHyuk Kwack is a scholar working on Hardware and Architecture, Fluid Flow and Transfer Processes and Computational Theory and Mathematics, having authored 16 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (6 papers), Advanced Mathematical Modeling in Engineering (6 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (61 citations), Computational Mechanics (110 citations) and Hardware and Architecture (27 citations). JaeHyuk Kwack has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Arif Masud, Mohan Anand, P. I. Imoukhuede, J. Weddell, Κ. R. Rajagopal, Chris Knight, Scott Parker, Colleen Bertoni, Gregory H. Bauer and John Tramm. Their work appears in journals such as PLoS ONE, Computer Methods in Applied Mechanics and Engineering and International Journal of Engineering Science.

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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