Chia‐Jung Tsay

53 total papers · 688 total citations
28 papers, 421 citations indexed

About

Chia‐Jung Tsay is a scholar working on Social Psychology, Cognitive Neuroscience and Safety Research. According to data from OpenAlex, Chia‐Jung Tsay has authored 28 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Social Psychology, 10 papers in Cognitive Neuroscience and 7 papers in Safety Research. Recurrent topics in Chia‐Jung Tsay's work include Psychology of Moral and Emotional Judgment (7 papers), Experimental Behavioral Economics Studies (7 papers) and Decision-Making and Behavioral Economics (5 papers). Chia‐Jung Tsay is often cited by papers focused on Psychology of Moral and Emotional Judgment (7 papers), Experimental Behavioral Economics Studies (7 papers) and Decision-Making and Behavioral Economics (5 papers). Chia‐Jung Tsay collaborates with scholars based in United States, United Kingdom and Taiwan. Chia‐Jung Tsay's co-authors include Max H. Bazerman, Mahzarin R. Banaji, Lisa L. Shu, Katherine L. Milkman, Angela Duckworth, Francesca Gino, Ryan W. Buell, Tami Kim, Fiery Cushman and Eva E. Chen and has published in prestigious journals such as Child Development, Management Science and Personality and Social Psychology Bulletin.

In The Last Decade

Chia‐Jung Tsay

26 papers receiving 397 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chia‐Jung Tsay 121 102 90 67 64 28 421
Thomas Schultze 151 1.2× 109 1.1× 57 0.6× 63 0.9× 35 0.5× 32 476
Promothesh Chatterjee 91 0.8× 69 0.7× 57 0.6× 25 0.4× 45 0.7× 19 381
Daniel Feiler 124 1.0× 64 0.6× 31 0.3× 33 0.5× 55 0.9× 18 445
Daniella Kupor 228 1.9× 110 1.1× 92 1.0× 39 0.6× 24 0.4× 30 483
Rom Y. Schrift 129 1.1× 50 0.5× 51 0.6× 39 0.6× 44 0.7× 19 443
Femke van Horen 129 1.1× 101 1.0× 54 0.6× 27 0.4× 27 0.4× 26 432
Jihoon Jhang 178 1.5× 68 0.7× 30 0.3× 22 0.3× 48 0.8× 23 419
Eliran Halali 206 1.7× 95 0.9× 107 1.2× 138 2.1× 21 0.3× 18 406
Elisa Gambetti 49 0.4× 102 1.0× 60 0.7× 22 0.3× 60 0.9× 27 438
Moty Amar 103 0.9× 135 1.3× 57 0.6× 15 0.2× 52 0.8× 22 397

Countries citing papers authored by Chia‐Jung Tsay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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