Wan Seon Shin

687 citations
31 papers · 489 indexed · h-index 9

Wan Seon Shin

26 papers receiving 458 citations

Peers

Wan Seon Shin
Comparison fields: 5 of 85
  • Management Information Systems 135
  • Industrial and Manufacturing Engineering 150
  • Management of Technology and Innovation 92
  • Management Science and Operations Research 126
  • Strategy and Management 84
Replace Narayan Rangaraj with:
Narayan Rangaraj India
Achim Koberstein Germany
M.A. Al‐Fawzan Saudi Arabia
Özden Üstün Türkiye
Ali Ghodratnama Iran
Hongyan Li China
Robert R. Inman United States
María Araceli Garín Martín Spain
Seyed Gholamreza Jalali Naini Iran
Taner Bi̇lgi̇ç Türkiye
Wan Seon Shin relative to Narayan Rangaraj India Narayan Rangaraj's profile →
Citations per field
00.5×1.5×1.9×
Narayan Rangaraj · 1×
Citations per year

Countries citing papers authored by Wan Seon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Wan Seon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Wan Seon Shin, 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 Wan Seon Shin Line = papers co-authored together Wan Seon Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20242
4 202217
5 20210
6 20210
7 20190
8 201852
9 2017100
10 20161
11 20131
12
Fostering Technology Commercialization through Open Innovation
20091
13 199624
14 19959
15 19947
16 199392
17 19922
18 19928
19 1991128
20 19901

About Wan Seon Shin

Wan Seon Shin is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 31 papers that have together received 489 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (5 papers), Technology and Data Analysis (5 papers), Digital Transformation in Industry (4 papers), Quality and Supply Management (4 papers), Optimization and Mathematical Programming (4 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Multi-Criteria Decision Making (3 papers) and Sustainable Supply Chain Management (3 papers). The work is most often cited by research in Management Information Systems (135 citations), Industrial and Manufacturing Engineering (150 citations) and Management of Technology and Innovation (92 citations). Wan Seon Shin has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include A. Ravindran, Sung Hyun Park, Youngjo Lee, Jens J. Dahlgaard, Su Mi Dahlgaard‐Park, Min Kim, Carolyn R. Boyle, Heungsoon Felix Lee, Jeffrey L. Arthur and Kwang-Jae Kim. Their work appears in journals such as European Journal of Operational Research, Sustainability and International Journal of Production 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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