Illoong Kwon

501 citations
31 papers · 317 · h-index 11

Impact in

Papers in

    • Labor market dynamics and wage inequality 7
    • Innovation Policy and R&D 5
    • Firm Innovation and Growth 5
    • Law, Economics, and Judicial Systems 4
    • Taxation and Compliance Studies 4
    • Experimental Behavioral Economics Studies 9

Illoong Kwon

30 papers receiving 291 citations

Peers

Illoong Kwon
Comparison fields: 5 of 54
  • Public Administration 25
  • Management of Technology and Innovation 52
  • Economics and Econometrics 159
  • Accounting 51
  • Organizational Behavior and Human Resource Management 37
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Citations per year

Countries citing papers authored by Illoong Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Illoong Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Illoong Kwon, 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 Illoong Kwon Line = papers co-authored together Illoong Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201043
2 200636
3 201424
4 201724
5 200622
6 201219
7 201618
8 201616
9 201914
10 200510
11 200910
12 201710
13 20109
14 20098
15 20157
16 20096
17
Incentives, Wages, and Promotions: Theory and Evidence
20065
18 20155
19 20105
20 20135

About Illoong Kwon

Illoong Kwon is a scholar working on Economics and Econometrics, Safety Research, Management Science and Operations Research, Accounting and General Health Professions, having authored 31 papers that have together received 317 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (9 papers), Labor market dynamics and wage inequality (7 papers), Innovation Policy and R&D (5 papers), Firm Innovation and Growth (5 papers), Game Theory and Applications (4 papers), Law, Economics, and Judicial Systems (4 papers), Auction Theory and Applications (4 papers) and Taxation and Compliance Studies (4 papers). The work is most often cited by research in Public Administration (25 citations), Management of Technology and Innovation (52 citations), Economics and Econometrics (159 citations), Accounting (51 citations) and Organizational Behavior and Human Resource Management (37 citations). Illoong Kwon has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Eva M. Meyersson Milgrom, Kitae Sohn, Miyeon Song, Jan Sokolowsky, Chan-Young Park, Sangin Park and Jing Pan. Their work appears in journals such as The Journal of Human Resources, Small Business Economics, Journal of Labor Economics, Journal of Public Administration Research and Theory and The Economic Journal.

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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