Hae-Shin Hwang

31 papers receiving 607 citations

Peers

Hae-Shin Hwang
Comparison fields: 5 of 71
  • Economics and Econometrics 564
  • General Economics, Econometrics and Finance 107
  • General Health Professions 102
  • Sociology and Political Science 81
  • Management Science and Operations Research 72
Replace Ekaterini Kyriazidou with:
Ekaterini Kyriazidou United States
Timothy J. Gronberg United States
James N. Brown Germany
Shih-Ti Yu Taiwan
Stuart A. Low United States
Theresa J. Devine United States
Jean Hindriks Belgium
Mary Fish United States
Marko Terviö Finland
Juin‐jen Chang Taiwan
Hae-Shin Hwang relative to Ekaterini Kyriazidou United States Ekaterini Kyriazidou's profile →
Citations per field
00.5×1.5×
Ekaterini Kyriazidou · 1×
Citations per year

Countries citing papers authored by Hae-Shin Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Hae-Shin Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae-Shin Hwang. 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 Hae-Shin Hwang. The network helps show where Hae-Shin Hwang may publish in the future.

Co-authorship network of co-authors of Hae-Shin Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Hae-Shin Hwang. A scholar is included among the top collaborators of Hae-Shin Hwang 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 Hae-Shin Hwang. Hae-Shin Hwang 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
#WorkIndexed citations
1 1
2 0
3 4
4 4
5 0
6 5
7 2
8
Children's Interpersonal Problem Solving Performance with their Cognitive Styles and Interacting Subjects
1
9
The Influence of Children's Familiarity with a Task and Teachers' Feedback on their Problem Solving Performances
1
10
The Effect of Project Approach Program on Children’s Cognitive Styles
1
11
Partial Ownership For The Public Firm And Competition
1
12
Estimation of SUR Model with Non-nested Missing Observations
1
13 8
14 24
15 190
16 9
17 8
18 17
19 61
20 8

About Hae-Shin Hwang

Hae-Shin Hwang is a scholar working on Leadership and Management, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 36 papers that have together received 732 indexed citations. Recurring topics across this work include Economic theories and models (8 papers), Monetary Policy and Economic Impact (6 papers) and Merger and Competition Analysis (6 papers). The work is most often cited by research in Economics and Econometrics (564 citations), General Economics, Econometrics and Finance (107 citations) and Marketing (71 citations). Hae-Shin Hwang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include W. Robert Reed, Bruce Bender, Dale T. Mortensen, Sang‐Ho Lee, Timothy J. Gronberg, Craig T. Schulman, Woong Kim and Shu Zhang. Their work appears in journals such as Econometrica, Journal of Political Economy and The Review 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026