DaHee Han
Impact in
- Applied Psychology top 5%
- Behavioral Health and Interventions
- Marketing top 5%
- Consumer Behavior in Brand Consumption and Identification
Papers in ⓘ
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- Social and Intergroup Psychology 4
- Psychology of Social Influence 1
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- Cultural Differences and Values 4
- Emotions and Moral Behavior 3
- Co-authors
- Adam Duhachek (7 shared papers)Nidhi Agrawal (5 shared papers)Ashok K. Lalwani (1 shared paper)Zakary L. Tormala (2 shared papers)Katharina Reinecke (1 shared paper)Joshua E. Rosen (1 shared paper)Soojin Jun (1 shared paper)Spencer Williams (1 shared paper)
- Journals
- Journal of Consumer Research (3 papers)Journal of Marketing Research (1 paper)Organizational Behavior and Human Decision Processes (1 paper)Healthcare (1 paper)Social Influence (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
DaHee Han
8 papers receiving 504 citations
Peers
Comparison fields: 5 of 61
- Applied Psychology 166
- Marketing 254
- Social Psychology 240
- Literature and Literary Theory 71
- Organizational Behavior and Human Resource Management 63
Countries citing papers authored by DaHee Han
This map shows the geographic impact of DaHee Han'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 DaHee Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DaHee Han more than expected).
Fields of papers citing papers by DaHee Han
This network shows the impact of papers produced by DaHee Han. 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 DaHee Han. The network helps show where DaHee Han may publish in the future.
Co-authors
The 10 scholars most cited alongside DaHee Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 164 | |
| 2 | 2014 | 131 | |
| 3 | 2016 | 97 | |
| 4 | 2017 | 82 | |
| 5 | 2012 | 36 | |
| 6 | Stability Vs. Change: the Effect of Political Ideology on Product Preference | 2014 | 18 |
| 7 | 2018 | 11 | |
| 8 | 2023 | 2 | |
| 9 | Study on Interactive Media Installation of Ecological Museum as Educational Exhibit Contents with Experimental Environment - Focused on the - | 2015 | 1 |
About DaHee Han
DaHee Han is a scholar working on Sociology and Political Science, Social Psychology, Cognitive Neuroscience, Applied Psychology and Health, having authored 9 papers that have together received 542 indexed citations. Recurring topics across this work include Cultural Differences and Values (4 papers), Social and Intergroup Psychology (4 papers), Emotions and Moral Behavior (3 papers), Psychology of Moral and Emotional Judgment (3 papers), Behavioral Health and Interventions (2 papers), Educational Systems and Policies (1 paper), Decision-Making and Behavioral Economics (1 paper) and Psychology of Social Influence (1 paper). The work is most often cited by research in Applied Psychology (166 citations), Marketing (254 citations), Social Psychology (240 citations), Literature and Literary Theory (71 citations) and Organizational Behavior and Human Resource Management (63 citations). DaHee Han has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Adam Duhachek, Nidhi Agrawal, Ashok K. Lalwani, Zakary L. Tormala, Katharina Reinecke, Joshua E. Rosen, Soojin Jun, Spencer Williams, Gary Hsieh and Joshua M. Liao. Their work appears in journals such as Journal of Consumer Research, Journal of Marketing Research, Organizational Behavior and Human Decision Processes, Healthcare and Social Influence.
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.