Sung S. Kim
- Information Systems and Management top 0.05%
- Technology Adoption and User Behaviour 15
- Marketing top 0.5%
- Communication top 0.5%
- Knowledge Management and Sharing 7
- Social Media and Politics 3
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- Customer Service Quality and Loyalty 5
- Sociology and Political Science top 0.1%
- Digital Marketing and Social Media 11
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- Metallurgical Processes and Thermodynamics 12
- Thermodynamic and Structural Properties of Metals and Alloys 4
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- Material Dynamics and Properties 5
Sung S. Kim
48 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Information Systems and Management 3.3k
- Marketing 1.5k
- Communication 1.1k
- Organizational Behavior and Human Resource Management 1.5k
- Sociology and Political Science 4.5k
Countries citing papers authored by Sung S. Kim
This map shows the geographic impact of Sung S. Kim'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 Sung S. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung S. Kim more than expected).
Fields of papers citing papers by Sung S. Kim
This network shows the impact of papers produced by Sung S. Kim. 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 Sung S. Kim. The network helps show where Sung S. Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung S. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2020 | 59 | |
| 3 | 2019 | 15 | |
| 4 | 2019 | 21 | |
| 5 | 2018 | 40 | |
| 6 | 2017 | 54 | |
| 7 | 2015 | 44 | |
| 8 | Moderating Roles of Review Credibility and Author Popularity on Book Sales | 2013 | 2 |
| 9 | 2012 | 2 | |
| 10 | Revisiting Self-Selection Biases in E-Word-of-Mouth: An Integrated Model and Bayesian Estimation of Multivariate Review Behaviors | 2011 | 3 |
| 11 | 2011 | 72 | |
| 12 | 2009 | 262 | |
| 13 | 2006 | 6 | |
| 14 | A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomenabreakdown → | 2005 | 740 |
| 15 | 2004 | 13 | |
| 16 | Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Modelbreakdown → | 2004 | 2191 |
| 17 | 2001 | 54 | |
| 18 | 1999 | 67 | |
| 19 | 1992 | 25 | |
| 20 | 1984 | 2 |
About Sung S. Kim
Sung S. Kim is a scholar working on Information Systems and Management, Communication and Ceramics and Composites, having authored 49 papers that have together received 7.8k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (15 papers), Metallurgical Processes and Thermodynamics (12 papers), Digital Marketing and Social Media (11 papers), Knowledge Management and Sharing (7 papers), Customer Service Quality and Loyalty (5 papers), Material Dynamics and Properties (5 papers), Thermodynamic and Structural Properties of Metals and Alloys (4 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Information Systems and Management (3.3k citations), Marketing (1.5k citations) and Communication (1.1k citations). Sung S. Kim has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Naresh K. Malhotra, Ashutosh Patil, James Agarwal, Soumya Ray, Jai-Yeol Son, Lara Khansa, Sridhar Narasimhan, James Morris, Xiao Ma and T. H. Sanders. Their work appears in journals such as Management Science, MIS Quarterly and Journal of the American Ceramic Society.
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.