Learning Linear Spatial-Numeric Associations Improves Memory for Numbers. - Clarissa A. Thompson; John Opfer (CogSci, 2011)

Linear Numerical Magnitude Representations Aid Memory for Single Numbers. - Christopher Young; Francesca Marciani; John Opfer (CogSci, 2011)

Cooperation Decreases with Development of Number Sense. - Ellen Furlong; John Opfer (CogSci, 2013)

Effects of numeric magnitude on the cortical valuation network. - Frank Kanayet; John Opfer; William Cunningham (CogSci, 2013)

Mathematical Proficiency: Number Acuity vs. Numeracy. - Dan Kim; John Opfer (CogSci, 2014)

Numerical Estimation Under Supervision. - John Opfer; Clarissa A. Thompson (CogSci, 2014)

Development of Numerosity Estimation: A Linear to Logarithmic Shift? - Dan Kim; John Opfer (CogSci, 2015)

A Unified Framework for Bounded and Unbounded Numerical Estimation. - Dan Kim; John Opfer (CogSci, 2016)

Numerical and Non-numerical Magnitude Estimation. - Dan Kim; John Opfer (CogSci, 2017)

Varieties of Numerical Estimation: A Unified Framework. - Jike Qin; Dan Kim; John Opfer (CogSci, 2017)

Cognitive Processes in Numerosity Comparison: Theory and Data. - Dan Kim; John Opfer (CogSci, 2018)

Taking Whorf to School: Does Language Reform Improve Student Learning? - John Opfer; Dan Kim; Pooja Sidney; Charlies J. Fitzsimmons; Clarissa A. Thompson (CogSci, 2018)

Rote versus Rule: Revisiting the Role of Language in Mathematical Thinking. - Jike Qin; John Opfer (CogSci, 2018)

Source Retrieval Cues Facilitate Transfer in Fraction Learning. - Shuyuan Yu; John Opfer (CogSci, 2018)

Active Learning for a Number-Line Task with Two Design Variables. - Sang Ho Lee; Dan Kim; John Opfer; Mark A. Pitt; Jay I. Myung (CogSci, 2019)

Dynamics vs. Development in Numerosity Estimation: A Computational Model Accurately Predicts a Developmental Reversal. - Dan Kim; John Opfer (CogSci, 2020)

Machine Learning Optimizes Assessment: New Insights for the Development of Numerosity Estimation. - Sang Ho Lee; Dan Kim; John Opfer; Mark A. Pitt; Jay I. Myung (CogSci, 2020)

From Integers to Fractions: Developing a Coherent Understanding of Proportional Magnitude. - Shuyuan Yu; Dan Kim; Marta K. Mielicki; Charlies J. Fitzsimmons; Clarissa A. Thompson; John Opfer (CogSci, 2020)

Toward a Comprehensive Developmental Theory for Symbolic Magnitude Understanding. - Hyekyung Park; John Opfer (CogSci, 2021)

Cognitive Supports for Objective Numeracy. - Shuyuan Yu; John Opfer (CogSci, 2021)

Dynamics Versus Development in Numerosity Estimation: A Computational Model Accurately Predicts a Developmental Reversal. - Dan Kim; John Opfer (Cogn. Sci., 2021)

Conceptual Prerequisites for Proportional Analogy. - Shuyuan Yu; Ho-Chieh Lin; John Opfer (CogSci, 2022)

Children Are Not Just Noisy Adults: Disentangling Noise and Bias in Numerical Estimation. - Hyekyung Park; John Opfer (CogSci, 2023)