Opfer, J. E., Qin, J., & Kim, D. (under review). Varieties of numerical estimation: Models and data.
Lee, S., Kim, D., Opfer, J. E., Pitt, M. A., & Myung, I. J. (accepted). A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation. Psychonomic Bulletin & Review.
Kim, D., & Opfer, J. E. (2021). Dynamics vs development in numerosity estimation: A computational model accurately predicts a developmental reversal. Cognitive Science, 45(10), e13049.
Opfer, J. E., Kim, D., Fazio, L. K., Zhou, X, & Siegler, R. S. (2021). Cognitive mediators of US-China differences in early symbolic arithmetic. PLoS ONE, 16(8), e0255283.
Kim, D., & Opfer, J. E. (2020). Compression is evident in both unbounded and bounded numerical estimation: A reply to Cohen and Ray. Developmental Psychology, 56(4), 853-860.
Opfer, J. E., Kim, D., Young, C. J., & Marciani, F. (2019). Linear spatial-numeric associations aid memory for single numbers. Frontiers in Psychology, 10, 146.
Kim, D., & Opfer, J. E. (2018). Dynamics and development in number-to-space mapping. Cognitive Psychology, 107, 44-66.
Gross, S. I., Gross, C. A., Kim, D., Lukowski, S. L., Thompson, L. A., & Petrill, S. A. (2018). A Comparison of Methods for Assessing Performance on the Number Line Estimation Task. Journal of Numerical Cognition, 4(3), 554-571.
Opfer, J. E., Kim, D., & Qin, J. (2018). How does the ”learning gap” open? A cognitive theory of nation effects on early mathematics proficiency. In Berch, D. B., Geary, D. C., & Koepke, K. M. (Eds.), Mathematical Cognition and Learning Book Series (Vol. 4). Academic Press.
Qin, J., Kim, D., & Opfer, J. E. (2017). Varieties of numerical estimation: A unified framework. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 2943-2948). Austin, TX: Cognitive Science Society.
Kim, D., & Opfer, J. E. (2017). A unified framework for bounded and unbounded numerical estimation. Developmental Psychology, 53(6), 1088.
Kim, D., & Opfer, J. E. (2016). A unified framework for bounded and unbounded numerical estimation. In Papafragou, A., Grodner, D., Mirman, D., Trueswell, J.C. (Eds.). Proceedings of the 38th Annual Meeting of the Cognitive Science Society (pp. 752-757). Austin, TX: Cognitive Science Society.
Opfer, J. E., Thompson, C. A., & Kim, D. (2016). Free versus anchored numerical estimation: A unified approach. Cognition, 149, 11-17.
Kim, D., & Opfer, J. E. (2015). Development of numerosity estimation: A linear to logarithmic shift? In Noelle, D. C., Dale, R., Warlaumont, A. S., Yoshimi, J., Matlock, T., Jennings, C. D., & Maglio, P. P. (Eds.). Proceedings of the 37th Annual Meeting of the Cognitive Science Society (pp. 1087-1092). Austin, TX: Cognitive Science Society.
Kim, D., & Opfer, J. E. (in preparation). Numerical and non-numerical estimation.
Kim, D., & Opfer, J. E. (in preparation). Visuospatial factors in numerosity comparison.
Opfer, J. E., Lozanski, G., Gurcan, M., & Kim, D. (in preparation). Numerosity estimation in adults with and without pathology expertise.