Kyu-Nahm Jun

557 total citations
9 papers, 402 citations indexed

About

Kyu-Nahm Jun is a scholar working on Public Administration, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Kyu-Nahm Jun has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Administration, 5 papers in Sociology and Political Science and 3 papers in Political Science and International Relations. Recurrent topics in Kyu-Nahm Jun's work include Public Policy and Administration Research (7 papers), Local Government Finance and Decentralization (3 papers) and E-Government and Public Services (3 papers). Kyu-Nahm Jun is often cited by papers focused on Public Policy and Administration Research (7 papers), Local Government Finance and Decentralization (3 papers) and E-Government and Public Services (3 papers). Kyu-Nahm Jun collaborates with scholars based in United States, China and South Korea. Kyu-Nahm Jun's co-authors include Christopher Weare, Juliet Musso, Kilkon Ko, Wang Feng, Dapeng Wang and Lili Wang and has published in prestigious journals such as Social Forces, Journal of Public Administration Research and Theory and Nonprofit and Voluntary Sector Quarterly.

In The Last Decade

Kyu-Nahm Jun

9 papers receiving 377 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyu-Nahm Jun United States 9 194 144 135 54 52 9 402
Christian Østergaard Madsen Denmark 8 230 1.2× 157 1.1× 69 0.5× 28 0.5× 52 1.0× 15 439
Tae Ho Eom South Korea 10 260 1.3× 234 1.6× 93 0.7× 60 1.1× 57 1.1× 20 600
Jonathan B. Justice United States 10 197 1.0× 77 0.5× 110 0.8× 46 0.9× 45 0.9× 27 355
Isis Gutiérrez-Martínez Mexico 8 230 1.2× 90 0.6× 59 0.4× 87 1.6× 168 3.2× 20 427
Clay G. Wescott United States 11 235 1.2× 157 1.1× 63 0.5× 56 1.0× 42 0.8× 42 448
Emre Cinar United Kingdom 6 105 0.5× 84 0.6× 104 0.8× 126 2.3× 15 0.3× 13 404
Sjors Overman Netherlands 12 168 0.9× 172 1.2× 261 1.9× 183 3.4× 44 0.8× 21 509
Yahong Zhang United States 12 168 0.9× 117 0.8× 118 0.9× 50 0.9× 21 0.4× 37 454
Tero Erkkilä Finland 13 232 1.2× 105 0.7× 60 0.4× 64 1.2× 23 0.4× 32 420
Jan Boon Belgium 14 57 0.3× 97 0.7× 124 0.9× 160 3.0× 78 1.5× 39 388

Countries citing papers authored by Kyu-Nahm Jun

Since Specialization
Citations

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

Fields of papers citing papers by Kyu-Nahm Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyu-Nahm Jun. 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 Kyu-Nahm Jun. The network helps show where Kyu-Nahm Jun may publish in the future.

Co-authorship network of co-authors of Kyu-Nahm Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Kyu-Nahm Jun. A scholar is included among the top collaborators of Kyu-Nahm Jun 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 Kyu-Nahm Jun. Kyu-Nahm Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Feng, Wang, Kyu-Nahm Jun, & Lili Wang. (2019). Bureaucratic contacts and their impact on citizen satisfaction with local government agencies: The influence of expectation. Public Policy and Administration. 36(1). 41–68. 13 indexed citations
2.
Ko, Kilkon & Kyu-Nahm Jun. (2014). A Comparative Analysis of Job Motivation and Career Preference of Asian Undergraduate Students. Public Personnel Management. 44(2). 192–213. 49 indexed citations
3.
Jun, Kyu-Nahm, Wang Feng, & Dapeng Wang. (2014). E-Government Use and Perceived Government Transparency and Service Capacity. Public Performance & Management Review. 38(1). 125–151. 61 indexed citations
4.
Jun, Kyu-Nahm. (2012). Escaping the Local Trap? The Role of Community-Representing Organizations in Urban Governance. Journal of Urban Affairs. 35(3). 343–363. 10 indexed citations
5.
Jun, Kyu-Nahm & Juliet Musso. (2012). Participatory Governance and the Spatial Representation of Neighborhood Issues. Urban Affairs Review. 49(1). 71–110. 31 indexed citations
6.
Jun, Kyu-Nahm, et al.. (2011). How Are We Doing? A Multiple Constituency Approach to Civic Association Effectiveness. Nonprofit and Voluntary Sector Quarterly. 41(4). 632–655. 40 indexed citations
7.
Jun, Kyu-Nahm & Christopher Weare. (2010). Institutional Motivations in the Adoption of Innovations: The Case of E-Government. Journal of Public Administration Research and Theory. 21(3). 495–519. 155 indexed citations
8.
Weare, Christopher, Juliet Musso, & Kyu-Nahm Jun. (2009). Cross-Talk: The Role of Homophily and Elite Bias in Civic Associations. Social Forces. 88(1). 147–173. 31 indexed citations
9.
Jun, Kyu-Nahm. (2007). Event History Analysis of the Formation of Los Angeles Neighborhood Councils. Urban Affairs Review. 43(1). 107–122. 12 indexed citations

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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