Soonseok Song

1.2k citations
41 papers · 898 indexed · h-index 18
Topics
Ship Hydrodynamics and Maneuverability (28 papers)Maritime Transport Emissions and Efficiency (20 papers)Marine Biology and Environmental Chemistry (16 papers)

In The Last Decade

Soonseok Song

38 papers receiving 872 citations

Peers

Soonseok Song
Comparison fields: 5 of 63
  • Ocean Engineering 736
  • Environmental Engineering 381
  • Computational Mechanics 255
  • Mechanical Engineering 143
  • Aerospace Engineering 111
Replace Mahdi Khorasanchi with:
Mahdi Khorasanchi United Kingdom
Tahsin Tezdogan United Kingdom
Osman Turan United Kingdom
Tonio Sant Malta
Poul Andersen Denmark
Richard Kimball United States
Won-Ju Lee South Korea
Yang Ge China
Joško Parunov Croatia
Marco Altosole Italy
Soonseok Song relative to Mahdi Khorasanchi United Kingdom Mahdi Khorasanchi's profile →
Citations per field
00.5×1.7×
Mahdi Khorasanchi · 1×
Citations per year

Countries citing papers authored by Soonseok Song

Since Specialization
Citations

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

Fields of papers citing papers by Soonseok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soonseok Song

This figure shows the co-authorship network connecting the top 25 collaborators of Soonseok Song. A scholar is included among the top collaborators of Soonseok Song 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 Soonseok Song. Soonseok Song 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 1
2 1
3 0
4 2
5 1
6 1
7 14
8 13
9 14
10 22
11 26
12 18
13 17
14 52
15 9
16 108
17 41
18 79
19 3
20 3

About Soonseok Song

Soonseok Song is a scholar working on Ocean Engineering, Environmental Engineering and Computational Mechanics, having authored 41 papers that have together received 898 indexed citations. Recurring topics across this work include Ship Hydrodynamics and Maneuverability (28 papers), Maritime Transport Emissions and Efficiency (20 papers) and Marine Biology and Environmental Chemistry (16 papers). The work is most often cited by research in Ocean Engineering (736 citations), Environmental Engineering (381 citations) and Computational Mechanics (255 citations). Soonseok Song has collaborated with scholars based in United Kingdom, South Korea and Malta. Frequent co-authors include Yiğit Kemal Demirel, Mehmet Atlar, Tahsin Tezdogan, Daejeong Kim, Osman Turan, Atilla İncecik, Kwang-Jun Paik, Weichao Shi, Saishuai Dai and Sang-Hyun Kim. Their work appears in journals such as Applied Energy, Ocean Engineering and Applied Ocean Research.

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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