Sung‐Ha Hwang

28 papers receiving 405 citations

Peers

Sung‐Ha Hwang
Comparison fields: 5 of 73
  • Safety Research 210
  • General Decision Sciences 44
  • Management Science and Operations Research 116
  • Economics and Econometrics 136
  • Demography 55
Replace Sebastian J. Goerg with:
Sebastian J. Goerg Germany
Anthony Ziegelmeyer France
William A. Boettcher United States
Daniel Stone United States
Malte Dold United States
Ashley Harrell United States
Michael O’Brien New Zealand
Cheryl Boudreau United States
Melissa Sands United States
Sung‐Ha Hwang relative to Sebastian J. Goerg Germany Sebastian J. Goerg's profile →
Citations per field
00.5×1.5×1.9×
Sebastian J. Goerg · 1×
Citations per year

Countries citing papers authored by Sung‐Ha Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Ha Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Ha 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 Sung‐Ha Hwang. The network helps show where Sung‐Ha Hwang may publish in the future.

Co-authors

The 17 scholars most cited alongside Sung‐Ha Hwang, 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‐Ha Hwang Line = papers co-authored together Sung‐Ha Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008109
2 200978
3 200465
4 201037
5 201126
6 201220
7 201619
8 202012
9 201611
10 20138
11 20138
12 20176
13
A classification of bargaining solutions by evolutionary origin
20144
14 20174
15 20243
16 20213
17 20163
18 20202
19
Evolution of Altruistic Preferences among Boundedly Rational Agents
20152
20 20182

About Sung‐Ha Hwang

Sung‐Ha Hwang is a scholar working on Economics and Econometrics, Safety Research, Sociology and Political Science, Management Science and Operations Research and Public Health, Environmental and Occupational Health, having authored 38 papers that have together received 435 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (11 papers), Game Theory and Applications (11 papers), Evolutionary Game Theory and Cooperation (8 papers), Economic theories and models (7 papers), Game Theory and Voting Systems (7 papers), Psychosocial Factors Impacting Youth (5 papers), Diverse Approaches in Healthcare and Education Studies (5 papers) and Culture, Economy, and Development Studies (5 papers). The work is most often cited by research in Safety Research (210 citations), General Decision Sciences (44 citations), Management Science and Operations Research (116 citations), Economics and Econometrics (136 citations) and Demography (55 citations). Sung‐Ha Hwang has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Samuel Bowles, Yong‐Suk Kim, Jeffrey P. Carpenter, Herbert Gintis, Suresh Naidu, Jonathan Newton, Luc Rey-Bellet, Jungmin Lee, Markos A. Katsoulakis and Chang‐Seop Lee. Their work appears in journals such as Games and Economic Behavior, Journal of Public Economic Theory, Journal of Economic Behavior & Organization, Journal of Public Economics and Theoretical Economics.

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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