Kyung So Im

16.3k total citations · 1 hit paper
15 papers, 11.3k citations indexed

About

Kyung So Im is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Kyung So Im has authored 15 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in General Economics, Econometrics and Finance, 9 papers in Economics and Econometrics and 4 papers in Statistics and Probability. Recurrent topics in Kyung So Im's work include Monetary Policy and Economic Impact (9 papers), Economic Growth and Productivity (4 papers) and Statistical Methods and Inference (3 papers). Kyung So Im is often cited by papers focused on Monetary Policy and Economic Impact (9 papers), Economic Growth and Productivity (4 papers) and Statistical Methods and Inference (3 papers). Kyung So Im collaborates with scholars based in United States and United Kingdom. Kyung So Im's co-authors include M. Hashem Pesaran, Yongcheol Shin, Peter Schmidt, Junsoo Lee, Seung C. Ahn, Jeffrey M. Wooldridge, Margie Tieslau, Walter Enders and Mark C. Strazicich and has published in prestigious journals such as Journal of Econometrics, Economics Letters and Economic Modelling.

In The Last Decade

Kyung So Im

15 papers receiving 10.3k citations

Hit Papers

Testing for unit roots in heterogeneous panels 2003 2026 2010 2018 2003 2.5k 5.0k 7.5k 10.0k

Peers

Kyung So Im
Chia-Shang James Chu United States
Ron Smith United Kingdom
Peter Pedroni United States
Shaowen Wu United States
Seema Narayan Australia
Xuan Vinh Vo Vietnam
Kyung So Im
Citations per year, relative to Kyung So Im Kyung So Im (= 1×) peers Chien‐Fu Lin

Countries citing papers authored by Kyung So Im

Since Specialization
Citations

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

Fields of papers citing papers by Kyung So Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung So Im. 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 Kyung So Im. The network helps show where Kyung So Im may publish in the future.

Co-authorship network of co-authors of Kyung So Im

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

All Works

15 of 15 papers shown
1.
Im, Kyung So, M. Hashem Pesaran, & Yongcheol Shin. (2023). Reflections on “Testing for unit roots in heterogeneous panels”. Journal of Econometrics. 234. 111–114. 13 indexed citations
2.
Im, Kyung So, M. Hashem Pesaran, & Yongcheol Shin. (2023). Reflections on “Testing for Unit Roots in Heterogeneous Panels”. SSRN Electronic Journal. 4 indexed citations
3.
Im, Kyung So, M. Hashem Pesaran, & Yongcheol Shin. (2023). Reprint of: Testing for unit roots in heterogeneous panels. Journal of Econometrics. 234. 56–69. 8 indexed citations
4.
Im, Kyung So, Junsoo Lee, & Margie Tieslau. (2010). Panel LM Unit Root Tests with Trend Shifts. SSRN Electronic Journal. 27 indexed citations
5.
Enders, Walter, Kyung So Im, Junsoo Lee, & Mark C. Strazicich. (2010). IV threshold cointegration tests and the Taylor rule. Economic Modelling. 27(6). 1463–1472. 9 indexed citations
6.
Im, Kyung So, Junsoo Lee, & Margie Tieslau. (2009). More Powerful Unit Root Tests with Non-Normal Errors. SSRN Electronic Journal. 4 indexed citations
7.
Im, Kyung So & Peter Schmidt. (2008). More efficient estimation under non-normality when higher moments do not depend on the regressors, using residual augmented least squares. Journal of Econometrics. 144(1). 219–233. 90 indexed citations
8.
Im, Kyung So, Junsoo Lee, & Margie Tieslau. (2005). Panel LM Unit-root Tests with Level Shifts. Journal of International Crisis and Risk Communication Research. 6 indexed citations
9.
Im, Kyung So, M. Hashem Pesaran, & Yongcheol Shin. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics. 115(1). 53–74. 11000 indexed citations breakdown →
10.
Im, Kyung So & M. Hashem Pesaran. (2003). On the Panel Unit Root Tests Using Nonlinear Instrumental Variables. SSRN Electronic Journal. 60 indexed citations
11.
Im, Kyung So & M. Hashem Pesaran. (2003). On The Panel Unit Root Tests Using Nonlinear Instrumental Variables. Apollo (University of Cambridge). 34 indexed citations
12.
Im, Kyung So. (2000). Robustifying Glejser test of heteroskedasticity. Journal of Econometrics. 97(1). 179–188. 17 indexed citations
13.
Im, Kyung So & Junsoo Lee. (1999). LM UNIT ROOT TEST WITH PANEL DATA; A TEST ROBUST TO STRUCTURAL CHANGES ¤. RePEc: Research Papers in Economics. 2 indexed citations
14.
Im, Kyung So, Seung C. Ahn, Peter Schmidt, & Jeffrey M. Wooldridge. (1999). Efficient estimation of panel data models with strictly exogenous explanatory variables. Journal of Econometrics. 93(1). 177–201. 54 indexed citations
15.
Im, Kyung So. (1998). Efficient estimation with grouped data. Economics Letters. 59(2). 169–174. 2 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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