Jaeho Shin

18 papers receiving 370 citations

Peers

Jaeho Shin
Comparison fields: 5 of 67
  • Civil and Structural Engineering 167
  • Computer Vision and Pattern Recognition 92
  • Geology 71
  • Economics and Econometrics 69
  • Strategy and Management 64
Replace Alireza Adibfar with:
Alireza Adibfar United States
Qingpeng Man China
Changsaar Chai Malaysia
Bilge Erdogan United Kingdom
Yoon-Soo Shin South Korea
Sitsofe Kwame Yevu Hong Kong
Christos Vidalakis United Kingdom
Bin Lin China
Asregedew Woldesenbet United States
Yahaya Makarfi Ibrahim Nigeria
Jaeho Shin relative to Alireza Adibfar United States Alireza Adibfar's profile →
Citations per field
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Alireza Adibfar · 1×
Citations per year

Countries citing papers authored by Jaeho Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jaeho Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeho Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jaeho Shin. A scholar is included among the top collaborators of Jaeho Shin 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 Jaeho Shin. Jaeho Shin 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 0
3 0
4 0
5 2
6 47
7 11
8 0
9 3
10 10
11 7
12 1
13 41
14 1
15 17
16 5
17 5
18 0
19
Development and Validation of a Headform Impactor Finite Element Model with Application to Vehicle Hood Design for Pedestrian Protection
4
20
Adaptive Regularized Image Interpolation Using Data Fusion and Steerable Constraints
3

About Jaeho Shin

Jaeho Shin is a scholar working on Management Science and Operations Research, Marketing and Economics and Econometrics, having authored 23 papers that have together received 380 indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (5 papers), Firm Innovation and Growth (5 papers) and Energy, Environment, Economic Growth (4 papers). The work is most often cited by research in Geology (71 citations), Civil and Structural Engineering (167 citations) and Business and International Management (10 citations). Jaeho Shin has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hyungchul Yoon, Billie F. Spencer, Changhee Kim, Hongsuk Yang, Sungwook Jung, Chihiro Watanabe, Koji Moriyama, Charla Griffy‐Brown, Weilin Zhao and Costin D. Untaroiu. Their work appears in journals such as IEEE Access, International Journal of Environmental Research and Public Health and Technological Forecasting and Social Change.

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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