Seongim Choi

1.2k citations
88 papers · 951 indexed · h-index 18
Topics
Computational Fluid Dynamics and Aerodynamics (44 papers)Probabilistic and Robust Engineering Design (23 papers)Fluid Dynamics and Turbulent Flows (19 papers)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of Hydrogen EnergyAIAA Journal
Partner nations
United StatesSouth Korea

In The Last Decade

Seongim Choi

78 papers receiving 903 citations

Peers

Seongim Choi
Comparison fields: 5 of 70
  • Aerospace Engineering 472
  • Computational Mechanics 405
  • Computational Theory and Mathematics 220
  • Statistics, Probability and Uncertainty 204
  • Global and Planetary Change 115
Replace Andrew B. Lambe with:
Andrew B. Lambe Canada
Mark Savill United Kingdom
Kwanjung Yee South Korea
Markus P. Rumpfkeil United States
Rhea P. Liem Hong Kong
Zhili Tang China
Jean‐Christophe Jouhaud France
Stefan Görtz Germany
R. H. Liebeck United States
Trevor Robinson United Kingdom
Seongim Choi relative to Andrew B. Lambe Canada Andrew B. Lambe's profile →
Citations per field
00.5×1.5×
Andrew B. Lambe · 1×
Citations per year

Countries citing papers authored by Seongim Choi

Since Specialization
Citations

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

Fields of papers citing papers by Seongim Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongim Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Seongim Choi. A scholar is included among the top collaborators of Seongim Choi 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 Seongim Choi. Seongim Choi 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 12
3 1
4 30
5 0
6 1
7 0
8 32
9 3
10 3
11 1
12 1
13 2
14 12
15 4
16 89
17 8
18 9
19
Propeller Noise : Principles, Analysis and Reduction Methods
1
20
Simplified Method for Foundation Heat Loss Calculation
29

About Seongim Choi

Seongim Choi is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Aerospace Engineering, having authored 88 papers that have together received 951 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (44 papers), Probabilistic and Robust Engineering Design (23 papers) and Fluid Dynamics and Turbulent Flows (19 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (204 citations), Computational Mechanics (405 citations) and Aerospace Engineering (472 citations). Seongim Choi has collaborated with scholars based in United States and South Korea. Frequent co-authors include Juan J. Alonso, Mathias Wintzer, Ilan M. Kroo, Duck‐Joo Lee, Kihwan Lee, Anubhav Datta, Brian Capozzi, Edwin van der Weide, Moncef Krarti and Stephen Atkins. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and AIAA Journal.

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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