Young-Won Ha
Impact in
- General Decision Sciences top 0.5%
- Decision-Making and Behavioral Economics
- Marketing top 1%
- Consumer Behavior in Brand Consumption and Identification
Papers in
-
- Decision-Making and Behavioral Economics 6
-
- Consumer Behavior in Brand Consumption and Identification 3
- Co-authors
- Joshua Klayman (4 shared papers)Stephen J. Hoch (2 shared papers)Emine Sarigöllü (1 shared paper)Myung‐Soo Jo (1 shared paper)Sehoon Park (1 shared paper)
- Journals
- Journal of Consumer Research (2 papers)Marketing Letters (2 papers)Journal of Experimental Psychology Learning Memory and Cognition (2 papers)Psychological Review (2 papers)Current Psychology (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Young-Won Ha
10 papers receiving 2.5k citations
Young-Won Ha's Hit Papers
Peers
Comparison fields: 5 of 122
- General Decision Sciences 697
- Marketing 708
- Applied Psychology 252
- History and Philosophy of Science 208
- Family Practice 61
Countries citing papers authored by Young-Won Ha
This map shows the geographic impact of Young-Won Ha'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 Young-Won Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Won Ha more than expected).
Fields of papers citing papers by Young-Won Ha
This network shows the impact of papers produced by Young-Won Ha. 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 Young-Won Ha. The network helps show where Young-Won Ha may publish in the future.
Co-authors
The 5 scholars most cited alongside Young-Won Ha, 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 | Confirmation, disconfirmation, and information in hypothesis testing. Hit paper breakdown → | 1987 | 1629 |
| 2 | Consumer Learning: Advertising and the Ambiguity of Product Experience Hit paper breakdown → | 1986 | 740 |
| 3 | 1989 | 203 | |
| 4 | 1989 | 124 | |
| 5 | 1987 | 104 | |
| 6 | 1989 | 36 | |
| 7 | 2014 | 15 | |
| 8 | 2021 | 12 | |
| 9 | 2014 | 7 | |
| 10 | When the Attraction Effect Disappears: the Differential Impact of Adding Common Versus Unique Features on Consumer Choice | 2004 | 2 |
About Young-Won Ha
Young-Won Ha is a scholar working on General Decision Sciences, Marketing, Cognitive Neuroscience, History and Philosophy of Science and Artificial Intelligence, having authored 10 papers that have together received 2.9k indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (6 papers), Psychology of Moral and Emotional Judgment (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Experimental Behavioral Economics Studies (2 papers), Economic and Environmental Valuation (2 papers), Philosophy and History of Science (2 papers), Behavioral Health and Interventions (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in General Decision Sciences (697 citations), Marketing (708 citations), Applied Psychology (252 citations), History and Philosophy of Science (208 citations) and Family Practice (61 citations). Young-Won Ha has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Joshua Klayman, Stephen J. Hoch, Emine Sarigöllü, Myung‐Soo Jo and Sehoon Park. Their work appears in journals such as Journal of Consumer Research, Marketing Letters, Journal of Experimental Psychology Learning Memory and Cognition, Psychological Review and Current Psychology.
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.