| Free versus anchored numerical estimation: A unified approach JE Opfer, CA Thompson, D Kim Cognition 149, 11-17, 2016 | 72 | 2016 |
| A unified framework for bounded and unbounded numerical estimation. D Kim, JE Opfer Developmental Psychology 53 (6), 1088-1097, 2017 | 51 | 2017 |
| A unified framework for bounded and unbounded numerical estimation. D Kim, J Opfer Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 752-757, 2016 | 51 | 2016 |
| Dynamics and development in number-to-space mapping D Kim, JE Opfer Cognitive Psychology 107, 44-66, 2018 | 17 | 2018 |
| A Comparison of Methods for Assessing Performance on the Number Line Estimation Task SI Gross, CA Gross, D Kim, SL Lukowski, LA Thompson, SA Petrill Journal of Numerical Cognition 4 (3), 554-571, 2018 | 11 | 2018 |
| From integers to fractions: The role of analogy in developing a coherent understanding of proportional magnitude. S Yu, D Kim, CJ Fitzsimmons, MK Mielicki, CA Thompson, JE Opfer Developmental Psychology, 2022 | 10 | 2022 |
| From Integers to Fractions: Developing a Coherent Understanding of Proportional Magnitude. S Yu, D Kim, MK Mielicki, C Fitzsimmons, C Thompson, J Opfer CogSci, 2020 | 10 | 2020 |
| A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation SH Lee, D Kim, JE Opfer, MA Pitt, JI Myung Psychonomic Bulletin & Review 29 (3), 971-984, 2022 | 6 | 2022 |
| Compression is evident in children’s unbounded and bounded numerical estimation: Reply to Cohen and Ray (2020). D Kim, JE Opfer Developmental Psychology 56 (4), 853, 2020 | 6 | 2020 |
| Linear Spatial-Numeric Associations Aid Memory for Single Numbers J Opfer, D Kim, CJ Young, F Marciani Frontiers in psychology 10, 146, 2019 | 6 | 2019 |
| How Does the “Learning Gap” Open? A Cognitive Theory of Nation Effects on Mathematics Proficiency JE Opfer, D Kim, J Qin Language and Culture in Mathematical Cognition, 99-130, 2018 | 6 | 2018 |
| Varieties of Numerical Estimation: A Unified Framework. J Qin, D Kim, J Opfer Proceedings of the 39th Annual Meeting of the Cognitive Science Society …, 2017 | 6 | 2017 |
| Cognitive mediators of US—China differences in early symbolic arithmetic JE Opfer, D Kim, LK Fazio, X Zhou, RS Siegler PloS one 16 (8), e0255283, 2021 | 3 | 2021 |
| Development of Numerosity Estimation: A Linear to Logarithmic Shift? D Kim, J Opfer Proceedings of the 37th Annual Meeting of the Cognitive Science Society …, 2015 | 2 | 2015 |
| Machine Learning Optimizes Assessment: New Insights for the Development of Numerosity Estimation. SH Lee, D Kim, J Opfer, MA Pitt, JI Myung CogSci, 2020 | 1 | 2020 |
| Active Learning for a Number-Line Task with Two Design Variables. SH Lee, D Kim, J Opfer, MA Pitt, JI Myung CogSci, 638, 2019 | 1 | 2019 |
| Dynamics Versus Development in Numerosity Estimation: A Computational Model Accurately Predicts a Developmental Reversal D Kim, JE Opfer Cognitive Science 45 (10), e13049, 2021 | | 2021 |
| Dynamics vs. Development in Numerosity Estimation: A Computational Model Accurately Predicts a Developmental Reversal. D Kim, J Opfer CogSci, 2020 | | 2020 |
| Cognitive Processes in Numerosity Comparison: Theory and Data. D Kim, J Opfer CogSci, 2018 | | 2018 |
| Taking Whorf to School: Does Language Reform Improve Student Learning? J Opfer, D Kim, P Sidney, C Fitzsimmons, C Thompson CogSci, 2018 | | 2018 |
John OpferProfessor, Department of Psychology, The Ohio State UniversityVerified email at osu.edu
