Seokwoo Song
- Sociology and Political Science top 5%
- Communication top 5%
- Hardware and Architecture top 5%
- Information Systems and Management top 5%
- Computer Networks and Communications top 10%
- Co-authors
- James T. C. TengJohn KimSoojung RyuYeongon ChoSridhar NerurSoonhong MinJames S. KeeblerJae-Gon Kim
- Topics
- Knowledge Management and Sharing (11 papers)Digital Marketing and Social Media (5 papers)Innovation and Knowledge Management (5 papers)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Seokwoo Song
31 papers receiving 755 citations
Peers
Comparison fields: 5 of 84
- Sociology and Political Science 253
- Communication 180
- Hardware and Architecture 142
- Information Systems and Management 139
- Computer Networks and Communications 138
Countries citing papers authored by Seokwoo Song
This map shows the geographic impact of Seokwoo 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 Seokwoo Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seokwoo Song more than expected).
Fields of papers citing papers by Seokwoo Song
This network shows the impact of papers produced by Seokwoo 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 Seokwoo Song. The network helps show where Seokwoo Song may publish in the future.
Co-authorship network of co-authors of Seokwoo Song
This figure shows the co-authorship network connecting the top 25 collaborators of Seokwoo Song. A scholar is included among the top collaborators of Seokwoo 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 Seokwoo Song. Seokwoo Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 36 | |
| 7 | 26 | |
| 8 | 150 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | Understanding Negative Electronic Word-of-Mouth(eWOM)： Social Ties and Key Determinants | 1 |
| 12 | 66 | |
| 13 | Exploring Influence of Network Structure, Organizational Learning Culture, and Knowledge Management Participation on Individual Creativity and Performance: Comparison of SI Proposal Team and R&D Team | 5 |
| 14 | 184 | |
| 15 | 5 | |
| 16 | 37 | |
| 17 | Effective Work Unit Knowledge Management (KM): An Exploratory Investigation of the Roles of Network, Task Environment, and KM Strategies | 4 |
| 18 | 51 | |
| 19 | 37 | |
| 20 | Distribution of Multimedia Objects | 1 |
About Seokwoo Song
Seokwoo Song is a scholar working on Communication, Human-Computer Interaction and Information Systems and Management, having authored 35 papers that have together received 802 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (11 papers), Digital Marketing and Social Media (5 papers) and Innovation and Knowledge Management (5 papers). The work is most often cited by research in Communication (180 citations), Hardware and Architecture (142 citations) and Information Systems and Management (139 citations). Seokwoo Song has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include James T. C. Teng, John Kim, Soojung Ryu, Yeongon Cho, Sridhar Nerur, Soonhong Min, James S. Keebler, Jae-Gon Kim, V. Sambamurthy and Yong Jin Kim. Their work appears in journals such as Communications of the ACM, Computers in Human Behavior and Expert Systems with Applications.
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.