- Evangelidis, I., Bhatia, S., Levav, J. & Simonson, I. (2024). 50 years of context effects: Merging the behavioral and quantitative perspectives. Journal of Consumer Research, 51(1), 19-28 [pdf]
- Bhatia, S., Galesic, M., & Mitchell, M. (2024). Editorial for the special issue on algorithms in our lives. Perspectives on Psychological Science, 19(5), 707-710. [pdf]
- Bhatia, S., & Aka, A. (2022). Cognitive Modeling With Representations From Large-Scale Digital Data. Current Directions in Psychological Science, 31(3), 207–214. [pdf]
- Spektor, M., Bhatia, S., & Gluth, S. (2021). The elusiveness of context effects in decision making. Trends in Cognitive Sciences, 25(10), 843-854. [pdf]
- Bhatia, S. & He, L. (2021). Machine-generated theories of human decision making. Science. 273(6547), 1150-1151. [pdf] (perspective on Peterson et al., 2021)
- Bhatia, S., Loomes, G., & Read, D. (2021). Establishing the laws of preferential choice behavior. Judgment and Decision Making, 16(6), 1324-1369. [pdf]
- Mormann, M., Griffiths, T., Janiszewski, C., Russo, J.E., Aribarg, A., Ashby, N.J.S., Bagchi, R., Bhatia, S., Kovacheva, A., Meissner, M., & Mrkva, K.J. (2020). Time to pay attention to attention: How everyone can use process tracing to better understand consumer behavior. Marketing Letters, 31, 381–392. [pdf]
- Bhatia, S., Richie, R, & Zou, W. (2019). Distributed semantic representations for modelling human judgment. Current Opinion in Behavioral Sciences, 29, 31-36. [pdf]
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