Cheol Liu

25 papers receiving 820 citations

Peers

Cheol Liu
Comparison fields: 5 of 68
  • Organizational Behavior and Human Resource Management 152
  • Communication 96
  • Public Administration 44
  • Information Systems and Management 83
  • Human Factors and Ergonomics 24
Replace Alexandru V. Roman with:
Alexandru V. Roman United States
Glen D. Murphy Australia
Jost Sieweke Germany
Jane Maley Australia
József Poór Hungary
Richard Fisher New Zealand
Alexandros Papalexandris Greece
Philip O’Regan Ireland
Alan Nankervis Australia
Fred Kofman United States
Cheol Liu relative to Alexandru V. Roman United States Alexandru V. Roman's profile →
Citations per field
00.5×1.6×
Alexandru V. Roman · 1×
Citations per year

Countries citing papers authored by Cheol Liu

Since Specialization
Citations

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

Fields of papers citing papers by Cheol Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheol Liu. 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 Cheol Liu. The network helps show where Cheol Liu may publish in the future.

Co-authors

The 16 scholars most cited alongside Cheol Liu, 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 Cheol Liu Line = papers co-authored together Cheol Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017173
2 2018148
3 2014120
4 201679
5 201778
6 201864
7 202044
8 201526
9 202020
10 201819
11 202017
12 201716
13 202212
14 202112
15 201911
16 20217
17 20236
18 20176
19 20224
20 20132

About Cheol Liu

Cheol Liu is a scholar working on Sociology and Political Science, Economics and Econometrics, Political Science and International Relations, Management Information Systems and Public Administration, having authored 28 papers that have together received 871 indexed citations. Recurring topics across this work include Corruption and Economic Development (10 papers), Fiscal Policies and Political Economy (8 papers), Fiscal Policy and Economic Growth (8 papers), Information Technology Governance and Strategy (5 papers), Public Policy and Administration Research (5 papers), Knowledge Management and Sharing (4 papers), Local Government Finance and Decentralization (4 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (152 citations), Communication (96 citations), Public Administration (44 citations), Information Systems and Management (83 citations) and Human Factors and Ergonomics (24 citations). Cheol Liu has collaborated with scholars based in United States, Hong Kong and South Korea. Frequent co-authors include Montgomery Van Wart, John L. Mikesell, Xiaohu Wang, Alexandru V. Roman, Tima T. Moldogaziev, Soonhee Kim, Alma McCarthy, Christopher V. Hawkins, Can Chen and Hanyu Xiao. Their work appears in journals such as The American Review of Public Administration, Public Administration Review, International Review of Administrative Sciences, Public Performance & Management Review and Australian Journal of Public Administration.

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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