Sokbae Lee

4.0k citations
64 papers · 1.7k · h-index 23

Impact in

Papers in

    • Statistical Methods and Inference 31
    • Advanced Causal Inference Techniques 13
    • Statistical Methods and Bayesian Inference 13
    • Advanced Statistical Methods and Models 12
    • Labor market dynamics and wage inequality 6

Sokbae Lee

59 papers receiving 1.6k citations

Peers

Sokbae Lee
Comparison fields: 5 of 108
  • Statistics and Probability 840
  • General Economics, Econometrics and Finance 292
  • Economics and Econometrics 714
  • Finance 164
  • Management Science and Operations Research 126
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Citations per year

Countries citing papers authored by Sokbae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sokbae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013190
2 2007116
3 200599
4 201183
5 200383
6 200781
7 201174
8 201567
9 200965
10 201454
11 201147
12 200947
13 200945
14 200343
15 201042
16 201840
17 201737
18 201732
19 201231
20 201130

About Sokbae Lee

Sokbae Lee is a scholar working on Statistics and Probability, Economics and Econometrics, General Economics, Econometrics and Finance, Artificial Intelligence and Sociology and Political Science, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (31 papers), Advanced Causal Inference Techniques (13 papers), Statistical Methods and Bayesian Inference (13 papers), Advanced Statistical Methods and Models (12 papers), Monetary Policy and Economic Impact (11 papers), Bayesian Methods and Mixture Models (6 papers), Labor market dynamics and wage inequality (6 papers) and Intellectual Property and Patents (4 papers). The work is most often cited by research in Statistics and Probability (840 citations), General Economics, Econometrics and Finance (292 citations), Economics and Econometrics (714 citations), Finance (164 citations) and Management Science and Operations Research (126 citations). Sokbae Lee has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Joël L. Horowitz, Victor Chernozhukov, Pedro Carneiro, Myung Hwan Seo, Youngki Shin, Adam Rosen, Yoon‐Jae Whang, Ralf A. Wilke, Hidehiko Ichimura and Bernard Salanié. Their work appears in journals such as Journal of Econometrics, Econometrica, Econometrics Journal, Journal of Business and Economic Statistics and Econometric Theory.

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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