Chia‐Jung Tsay
- Sociology and Political Science top 10%
- Social Psychology top 10%
- Cognitive Neuroscience
- Safety Research top 5%
- Economics and Econometrics
- Co-authors
- Max H. BazermanMahzarin R. BanajiLisa L. ShuKatherine L. MilkmanAngela DuckworthFrancesca GinoTami KimRyan W. Buell
- Topics
- Experimental Behavioral Economics Studies (7 papers)Psychology of Moral and Emotional Judgment (7 papers)Decision-Making and Behavioral Economics (5 papers)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Chia‐Jung Tsay
26 papers receiving 401 citations
Peers
Comparison fields: 5 of 89
- Sociology and Political Science 121
- Social Psychology 104
- Cognitive Neuroscience 91
- Safety Research 68
- Economics and Econometrics 64
Countries citing papers authored by Chia‐Jung Tsay
This map shows the geographic impact of Chia‐Jung Tsay'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 Chia‐Jung Tsay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Jung Tsay more than expected).
Fields of papers citing papers by Chia‐Jung Tsay
This network shows the impact of papers produced by Chia‐Jung Tsay. 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 Chia‐Jung Tsay. The network helps show where Chia‐Jung Tsay may publish in the future.
Co-authorship network of co-authors of Chia‐Jung Tsay
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Jung Tsay. A scholar is included among the top collaborators of Chia‐Jung Tsay 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 Chia‐Jung Tsay. Chia‐Jung Tsay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 23 | |
| 9 | 33 | |
| 10 | 2 | |
| 11 | If you’re going to do wrong, at least do it right: The surprising effect of considering two moral dilemmas at the same time | 1 |
| 12 | 16 | |
| 13 | 28 | |
| 14 | Cooks Make Tastier Food When They Can See Their Customers | 2 |
| 15 | 5 | |
| 16 | 10 | |
| 17 | 32 | |
| 18 | 7 | |
| 19 | 42 | |
| 20 | 13 |
About Chia‐Jung Tsay
Chia‐Jung Tsay is a scholar working on General Decision Sciences, Safety Research and Social Psychology, having authored 29 papers that have together received 423 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (7 papers), Psychology of Moral and Emotional Judgment (7 papers) and Decision-Making and Behavioral Economics (5 papers). The work is most often cited by research in General Decision Sciences (41 citations), Safety Research (68 citations) and Applied Psychology (33 citations). Chia‐Jung Tsay has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Max H. Bazerman, Mahzarin R. Banaji, Lisa L. Shu, Katherine L. Milkman, Angela Duckworth, Francesca Gino, Tami Kim, Ryan W. Buell, Fiery Cushman and Eva E. Chen. Their work appears in journals such as Child Development, Management Science and Personality and Social Psychology Bulletin.
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.