Sung K. Ahn

1.8k citations
51 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Sung K. Ahn

46 papers receiving 1.1k citations

Peers

Sung K. Ahn
Comparison fields: 5 of 91
  • General Economics, Econometrics and Finance 774
  • Finance 501
  • Economics and Econometrics 770
  • Statistics and Probability 193
  • Management Science and Operations Research 65
Replace John C. Nankervis with:
John C. Nankervis United Kingdom
Zhongjun Qu United States
Svend Hylleberg Denmark
Ivana Komunjer United States
Hans‐Martin Krolzig United Kingdom
David N. DeJong United States
Śılvia Gonçalves Canada
Marine Carrasco Canada
Yoon‐Jae Whang South Korea
Anders Rahbek Denmark
Sung K. Ahn relative to John C. Nankervis United Kingdom John C. Nankervis's profile →
Citations per field
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John C. Nankervis · 1×
Citations per year

Countries citing papers authored by Sung K. Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sung K. Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung K. Ahn. 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 Sung K. Ahn. The network helps show where Sung K. Ahn may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sung K. Ahn, 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 Sung K. Ahn Line = papers co-authored together Sung K. Ahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201912
2 201218
3 20111
4 20101
5 20084
6 20087
7 200730
8 20061
9
Transformation Strategy and Economic Performance
20040
10 20043
11 200119
12 20001
13 19999
14 199817
15 199723
16 19963
17 19948
18 19935
19 199219
20 19873

About Sung K. Ahn

Sung K. Ahn is a scholar working on General Economics, Econometrics and Finance, Finance, Statistics and Probability, Economics and Econometrics and Management Science and Operations Research, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (31 papers), Financial Risk and Volatility Modeling (22 papers), Advanced Statistical Methods and Models (12 papers), Market Dynamics and Volatility (11 papers), Statistical Methods and Inference (8 papers), Stochastic processes and financial applications (5 papers), Statistical and numerical algorithms (4 papers) and Fiscal Policy and Economic Growth (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (774 citations), Finance (501 citations), Economics and Econometrics (770 citations), Statistics and Probability (193 citations) and Management Science and Operations Research (65 citations). Sung K. Ahn has collaborated with scholars based in United States, South Korea and Thailand. Frequent co-authors include Gregory C. Reinsel, Peter Zadrozny, Minsoo Lee, A.K.M. Mahbub Morshed, S. Fotopoulos, H. Holly Wang, Debra Sanders, Jeanne H. Yamamura, Phoebus J. Dhrymes and Ahmad Zubaidi Baharumshah. Their work appears in journals such as Journal of the American Statistical Association, Journal of Statistical Computation and Simulation, Biometrika, Journal of Time Series Analysis and Oxford Bulletin of Economics and Statistics.

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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