Hannah H. Chang
- Marketing top 5%
- Sociology and Political Science top 5%
- General Decision Sciences top 1%
- Applied Psychology top 2%
- Social Psychology top 5%
- Co-authors
- Michel Tuan PhamJiewen HongDaniel G. GoldsteinElke U. WeberEric J. JohnsonKerry F. MilchIris W. HungAmitava Chattopadhyay
- Topics
- Decision-Making and Behavioral Economics (7 papers)Behavioral Health and Interventions (4 papers)Economic and Environmental Valuation (3 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Hannah H. Chang
13 papers receiving 719 citations
Peers
Comparison fields: 5 of 78
- Marketing 255
- Sociology and Political Science 252
- General Decision Sciences 242
- Applied Psychology 226
- Social Psychology 190
Countries citing papers authored by Hannah H. Chang
This map shows the geographic impact of Hannah H. Chang'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 Hannah H. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah H. Chang more than expected).
Fields of papers citing papers by Hannah H. Chang
This network shows the impact of papers produced by Hannah H. Chang. 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 Hannah H. Chang. The network helps show where Hannah H. Chang may publish in the future.
Co-authorship network of co-authors of Hannah H. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hannah H. Chang. A scholar is included among the top collaborators of Hannah H. Chang 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 Hannah H. Chang. Hannah H. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 20 | |
| 4 | 24 | |
| 5 | 33 | |
| 6 | The impact of power on reliance on feelings versus reasons in decision making | 1 |
| 7 | 167 | |
| 8 | 111 | |
| 9 | 117 | |
| 10 | Differential Reliance on Feelings in the Present vs. the Future (or Past): Affect as a Decision Making System of the Present | 2 |
| 11 | Regulatory Focus and Regulatory Fit in Consumer Search and Consideration of Alternatives | 2 |
| 12 | 277 | |
| 13 | 39 |
About Hannah H. Chang
Hannah H. Chang is a scholar working on General Decision Sciences, Applied Psychology and Marketing, having authored 13 papers that have together received 795 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (7 papers), Behavioral Health and Interventions (4 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in General Decision Sciences (242 citations), Applied Psychology (226 citations) and Marketing (255 citations). Hannah H. Chang has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Michel Tuan Pham, Jiewen Hong, Daniel G. Goldstein, Elke U. Weber, Eric J. Johnson, Kerry F. Milch, Iris W. Hung, Amitava Chattopadhyay, Anirban Mukherjee and Yunhui Huang. Their work appears in journals such as Journal of Marketing Research, Journal of Consumer Research and Psychological Science.
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.