Seok-Jin Eom

503 citations
26 papers · 233 · h-index 6

Impact in

Papers in

Seok-Jin Eom

20 papers receiving 220 citations

Peers

Seok-Jin Eom
Comparison fields: 5 of 43
  • Communication 50
  • Public Administration 22
  • Information Systems and Management 43
  • Political Science and International Relations 119
  • Media Technology 38
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Citations per field
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Citations per year

Countries citing papers authored by Seok-Jin Eom

Since Specialization
Citations

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

Fields of papers citing papers by Seok-Jin Eom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seok-Jin Eom. 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 Seok-Jin Eom. The network helps show where Seok-Jin Eom may publish in the future.

Co-authors

The 6 scholars most cited alongside Seok-Jin Eom, 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 Seok-Jin Eom Line = papers co-authored together Seok-Jin Eom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201870
2 201657
3 201429
4 202220
5 201917
6 201214
7 20125
8 20174
9 20122
10
The Institutional Dimension of e-Government Promotion: A Comparative Study on Making ‘Business Reference Model (BRM)’ in the U.S. and Korea
20102
11 20142
12
Public Accountability: Theoretical Conflict and Debates between Public Administration Theories
20091
13
The use of Twitter by the governors of provincial and metropolitan governments in Korea
20141
14 20241
15 20191
16
Between Mobilization and Participation: A Study on the Roles of Public Officials in Local Administrations during the Rural Saemaul Undong in the 1970s
20111
17
Korean State Apparatuses from 1948 to 1972: Continuity and Discontinuity
20121
18 20161
19 20211
20 20161

About Seok-Jin Eom

Seok-Jin Eom is a scholar working on Political Science and International Relations, Information Systems and Management, Communication, Sociology and Political Science and Media Technology, having authored 26 papers that have together received 233 indexed citations. Recurring topics across this work include E-Government and Public Services (9 papers), Technology Adoption and User Behaviour (8 papers), Social Media and Politics (4 papers), Smart Cities and Technologies (2 papers), Korean Urban and Social Studies (2 papers), ICT Impact and Policies (2 papers), Work-Family Balance Challenges (2 papers) and Educational Systems and Policies (2 papers). The work is most often cited by research in Communication (50 citations), Public Administration (22 citations), Information Systems and Management (43 citations), Political Science and International Relations (119 citations) and Media Technology (38 citations). Seok-Jin Eom has collaborated with scholars based in South Korea and United States. Frequent co-authors include Mi Yeon Lee, Dongwook Kim, Loni Hagen, Sungsoo Hwang, Soon Ae Chun and Dae‐Eun Kim. Their work appears in journals such as Government Information Quarterly, Administration & Society, Sustainability, Korean Political Science Review and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).

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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