Donggyu Sul

4.6k total citations · 2 hit papers
39 papers, 3.0k citations indexed

About

Donggyu Sul is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Donggyu Sul has authored 39 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Economics and Econometrics, 22 papers in General Economics, Econometrics and Finance and 4 papers in Finance. Recurrent topics in Donggyu Sul's work include Monetary Policy and Economic Impact (21 papers), Spatial and Panel Data Analysis (16 papers) and Economic Growth and Productivity (11 papers). Donggyu Sul is often cited by papers focused on Monetary Policy and Economic Impact (21 papers), Spatial and Panel Data Analysis (16 papers) and Economic Growth and Productivity (11 papers). Donggyu Sul collaborates with scholars based in United States, New Zealand and Singapore. Donggyu Sul's co-authors include Peter C.B. Phillips, Nelson C. Mark, Chirok Han, Masao Ogaki, Chi‐Young Choi, Ryan Greenaway‐McGrevy, Todd Sandler, Khusrav Gaibulloev, Horag Choi and Stanley R. Thompson and has published in prestigious journals such as Econometrica, Journal of Econometrics and The Review of Economic Studies.

In The Last Decade

Donggyu Sul

38 papers receiving 2.8k citations

Hit Papers

Dynamic Panel Estimation and Homogenity Testing Under Cro... 2002 2026 2010 2018 2002 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donggyu Sul United States 21 2.6k 1.4k 590 408 205 39 3.0k
Kaddour Hadri United Kingdom 16 2.5k 1.0× 1.1k 0.8× 521 0.9× 490 1.2× 207 1.0× 42 3.0k
Ricardo Mestre Germany 10 2.2k 0.9× 1.6k 1.2× 718 1.2× 536 1.3× 152 0.7× 19 2.7k
Christian Dreger Germany 21 1.8k 0.7× 859 0.6× 440 0.7× 470 1.2× 157 0.8× 160 2.3k
Chihwa Kao United States 18 2.2k 0.8× 746 0.5× 345 0.6× 537 1.3× 283 1.4× 48 2.5k
Mark C. Strazicich United States 16 3.2k 1.3× 1.7k 1.2× 695 1.2× 805 2.0× 314 1.5× 35 3.7k
Josep Lluís Carrion‐i‐Silvestre Spain 22 2.2k 0.9× 1.1k 0.8× 415 0.7× 515 1.3× 234 1.1× 57 2.5k
Robert McNown United States 21 1.9k 0.7× 1.0k 0.7× 353 0.6× 445 1.1× 187 0.9× 70 2.5k
Kamiar Mohaddes United Kingdom 26 2.4k 0.9× 1.2k 0.9× 340 0.6× 827 2.0× 122 0.6× 114 3.0k
George Hondroyiannis Greece 27 1.7k 0.7× 996 0.7× 776 1.3× 416 1.0× 104 0.5× 84 2.5k
Elias Tzavalis Greece 18 1.5k 0.6× 790 0.6× 609 1.0× 246 0.6× 106 0.5× 92 2.0k

Countries citing papers authored by Donggyu Sul

Since Specialization
Citations

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

Fields of papers citing papers by Donggyu Sul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donggyu Sul

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

All Works

20 of 20 papers shown
1.
Sul, Donggyu. (2019). Panel Data Econometrics. 33 indexed citations
2.
Han, Chirok, Peter C.B. Phillips, & Donggyu Sul. (2015). Lag length selection in panel autoregression. Econometric Reviews. 36(1-3). 225–240. 31 indexed citations
3.
Sul, Donggyu, et al.. (2015). Identification of Unknown Common Factors: Leaders and Followers. Journal of Business and Economic Statistics. 34(2). 227–239. 12 indexed citations
4.
Gaibulloev, Khusrav, Todd Sandler, & Donggyu Sul. (2014). Of Nickell Bias, Cross-Sectional Dependence, and Their Cures: Reply. Political Analysis. 22(2). 279–280. 3 indexed citations
5.
Han, Chirok, Peter C.B. Phillips, & Donggyu Sul. (2013). X-DIFFERENCING AND DYNAMIC PANEL MODEL ESTIMATION. Econometric Theory. 30(1). 201–251. 53 indexed citations
6.
Greenaway‐McGrevy, Ryan, Chirok Han, & Donggyu Sul. (2012). Standardization and Estimation of the Number of Factors for Panel Data. 23(2). 5 indexed citations
7.
Greenaway‐McGrevy, Ryan, Chirok Han, & Donggyu Sul. (2012). Estimating the number of common factors in serially dependent approximate factor models. Economics Letters. 116(3). 531–534. 15 indexed citations
8.
Greenaway‐McGrevy, Ryan, Chirok Han, & Donggyu Sul. (2012). Standardization and estimation of factor numbers for panel data. 23(2). 79–88. 3 indexed citations
9.
Gaibulloev, Khusrav, Todd Sandler, & Donggyu Sul. (2012). COMMON DRIVERS OF TRANSNATIONAL TERRORISM: PRINCIPAL COMPONENT ANALYSIS. Economic Inquiry. 51(1). 707–721. 19 indexed citations
10.
Gaibulloev, Khusrav, Todd Sandler, & Donggyu Sul. (2012). Reevaluating terrorism and economic growth: dynamic panel analysis and cross-sectional dependence. DSpace at AUS (American University of Sharjah). 5 indexed citations
11.
Han, Chirok, Peter C.B. Phillips, & Donggyu Sul. (2010). Uniform Asymptotic Normality in Stationary and Unit Root Autoregression. SSRN Electronic Journal. 7 indexed citations
12.
Phillips, Peter C.B. & Donggyu Sul. (2009). Economic transition and growth. Journal of Applied Econometrics. 24(7). 1153–1185. 8 indexed citations
13.
Choi, Chi‐Young, Nelson C. Mark, & Donggyu Sul. (2009). Bias Reduction in Dynamic Panel Data Models by Common Recursive Mean Adjustment. SSRN Electronic Journal. 5 indexed citations
14.
Choi, Horag, Nelson C. Mark, & Donggyu Sul. (2007). Endogenous discounting, the world saving glut and the U.S. current account. Journal of International Economics. 75(1). 30–53. 40 indexed citations
15.
Phillips, Peter C.B. & Donggyu Sul. (2006). Bias in dynamic panel estimation with fixed effects, incidental trends and cross section dependence. Journal of Econometrics. 137(1). 162–188. 179 indexed citations
16.
Mark, Nelson C., Masao Ogaki, & Donggyu Sul. (2005). Dynamic Seemingly Unrelated Cointegrating Regressions. The Review of Economic Studies. 72(3). 797–820. 165 indexed citations
17.
Phillips, Peter C.B. & Donggyu Sul. (2003). The Elusive Empirical Shadow of Growth Convergence. SSRN Electronic Journal. 14 indexed citations
18.
Phillips, Peter C.B. & Donggyu Sul. (2002). Dynamic Panel Estimation and Homogenity Testing Under Cross Section Dependence. RePEc: Research Papers in Economics. 937 indexed citations breakdown →
19.
Mark, Nelson C. & Donggyu Sul. (2001). Nominal exchange rates and monetary fundamentals. Journal of International Economics. 53(1). 29–52. 278 indexed citations
20.
Mark, Nelson C. & Donggyu Sul. (1999). Nominal Exchange Rates and Monetary Fundamentals: Evidence from a Small Post-Bretton Woods Panel. SSRN Electronic Journal. 54 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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