Heejoon Kang

2.0k citations
39 papers · 1.3k · h-index 18

Impact in

Papers in

Heejoon Kang

35 papers receiving 1.1k citations

Peers

Heejoon Kang
Comparison fields: 5 of 105
  • General Economics, Econometrics and Finance 732
  • Development 107
  • Economics and Econometrics 735
  • Finance 235
  • Management Science and Operations Research 176
Replace David N. DeJong with:
David N. DeJong United States
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Heejoon Kang relative to David N. DeJong United States David N. DeJong's profile →
Citations per field
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David N. DeJong · 1×
Citations per year

Countries citing papers authored by Heejoon Kang

Since Specialization
Citations

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

Fields of papers citing papers by Heejoon Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Heejoon Kang, 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 Heejoon Kang Line = papers co-authored together Heejoon Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979220
2 1981202
3 1986111
4 199688
5 198485
6 198681
7 198473
8 199863
9 198537
10 200536
11 200034
12 199629
13 198929
14 200926
15 198125
16 198523
17 200619
18 200617
19 19879
20 19869

About Heejoon Kang

Heejoon Kang is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Management Science and Operations Research and Statistics and Probability, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (18 papers), Global trade and economics (8 papers), Global Financial Crisis and Policies (8 papers), Economic theories and models (6 papers), Market Dynamics and Volatility (6 papers), Forecasting Techniques and Applications (5 papers), Complex Systems and Time Series Analysis (5 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (732 citations), Development (107 citations), Economics and Econometrics (735 citations), Finance (235 citations) and Management Science and Operations Research (176 citations). Heejoon Kang has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Charles R. Nelson, Rafael Reuveny, Arnold Zellner, Michele Fratianni, Peter Tryfos, Lawrence Davidson, Young-Won Kim, Xiangyang Zhou, Taewan Kim and Hoon Ryu. Their work appears in journals such as Journal of Business and Economic Statistics, Econometrica, Biometrika, The Review of Economics and Statistics and International Journal of Automotive Technology.

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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