Lisa Feigenson

12.2k total citations · 6 hit papers
74 papers, 8.2k citations indexed

About

Lisa Feigenson is a scholar working on Developmental and Educational Psychology, Statistics and Probability and Education. According to data from OpenAlex, Lisa Feigenson has authored 74 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Developmental and Educational Psychology, 47 papers in Statistics and Probability and 35 papers in Education. Recurrent topics in Lisa Feigenson's work include Cognitive and developmental aspects of mathematical skills (47 papers), Child and Animal Learning Development (38 papers) and Mathematics Education and Teaching Techniques (33 papers). Lisa Feigenson is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (47 papers), Child and Animal Learning Development (38 papers) and Mathematics Education and Teaching Techniques (33 papers). Lisa Feigenson collaborates with scholars based in United States, Canada and France. Lisa Feigenson's co-authors include Justin Halberda, Elizabeth S. Spelke, Michèle M. M. Mazzocco, Stanislas Dehaene, Susan Carey, Melissa E. Libertus, Aimee E. Stahl, Michael A. Hauser, Darko Odic and Jennifer M. Zosh and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Lisa Feigenson

74 papers receiving 7.9k citations

Hit Papers

Core systems of number 2004 2026 2011 2018 2004 2008 2008 2011 2011 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lisa Feigenson United States 32 6.4k 4.6k 4.4k 2.1k 746 74 8.2k
Elizabeth M. Brannon United States 54 7.0k 1.1× 4.4k 0.9× 3.8k 0.9× 3.2k 1.6× 817 1.1× 138 8.9k
Justin Halberda United States 34 4.7k 0.7× 3.6k 0.8× 3.1k 0.7× 1.5k 0.7× 568 0.8× 101 6.1k
Brian Butterworth United Kingdom 52 5.6k 0.9× 3.3k 0.7× 5.0k 1.1× 4.3k 2.1× 1.7k 2.3× 128 9.5k
Bert Reynvoet Belgium 35 3.8k 0.6× 2.6k 0.6× 2.2k 0.5× 2.0k 0.9× 639 0.9× 125 4.9k
Michèle M. M. Mazzocco United States 44 4.1k 0.6× 3.3k 0.7× 2.9k 0.7× 1.9k 0.9× 688 0.9× 119 7.1k
Rochel Gelman United States 48 7.0k 1.1× 6.0k 1.3× 6.5k 1.5× 2.1k 1.0× 1.4k 1.9× 98 11.9k
Véronique Izard France 19 2.8k 0.4× 1.7k 0.4× 1.6k 0.4× 1.3k 0.6× 386 0.5× 43 3.7k
Jessica F. Cantlon United States 28 2.2k 0.3× 1.3k 0.3× 1.4k 0.3× 1.5k 0.7× 320 0.4× 67 3.3k
Robbie Case Canada 33 1.7k 0.3× 1.9k 0.4× 2.7k 0.6× 1.3k 0.6× 1.3k 1.7× 62 4.9k
John E. Opfer United States 23 1.8k 0.3× 1.6k 0.4× 1.4k 0.3× 412 0.2× 290 0.4× 59 2.8k

Countries citing papers authored by Lisa Feigenson

Since Specialization
Citations

This map shows the geographic impact of Lisa Feigenson'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 Lisa Feigenson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Feigenson more than expected).

Fields of papers citing papers by Lisa Feigenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Feigenson. 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 Lisa Feigenson. The network helps show where Lisa Feigenson may publish in the future.

Co-authorship network of co-authors of Lisa Feigenson

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Feigenson. A scholar is included among the top collaborators of Lisa Feigenson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa Feigenson. Lisa Feigenson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cao, Qiong & Lisa Feigenson. (2024). Children's representation of coincidence. Cognition. 250. 105854–105854. 1 indexed citations
2.
Feigenson, Lisa, et al.. (2022). “Yay! Yuck!” toddlers use others’ emotional responses to reason about hidden objects. Journal of Experimental Child Psychology. 221. 105464–105464. 2 indexed citations
3.
Zhang, Michelle, et al.. (2021). Online measures of looking and learning in infancy. Infancy. 27(1). 4–24. 24 indexed citations
4.
Libertus, Melissa E., Darko Odic, Lisa Feigenson, & Justin Halberda. (2020). Effects of Visual Training of Approximate Number Sense on Auditory Number Sense and School Math Ability. Frontiers in Psychology. 11. 2085–2085. 9 indexed citations
5.
Kanjlia, Shipra, Lisa Feigenson, & Marina Bedny. (2018). Numerical cognition is resilient to dramatic changes in early sensory experience. Cognition. 179. 111–120. 12 indexed citations
6.
Stahl, Aimee E. & Lisa Feigenson. (2017). Expectancy violations promote learning in young children. Cognition. 163. 1–14. 61 indexed citations
7.
Halberda, Justin, et al.. (2017). Approximate number sense correlates with math performance in gifted adolescents. Acta Psychologica. 176. 78–84. 31 indexed citations
8.
Libertus, Melissa E., Darko Odic, Lisa Feigenson, & Justin Halberda. (2016). The precision of mapping between number words and the approximate number system predicts children’s formal math abilities. Journal of Experimental Child Psychology. 150. 207–226. 50 indexed citations
9.
Stahl, Aimee E. & Lisa Feigenson. (2015). Observing the unexpected enhances infants’ learning and exploration. Science. 348(6230). 91–94. 314 indexed citations breakdown →
10.
Kibbe, Melissa M. & Lisa Feigenson. (2014). Developmental origins of recoding and decoding in memory. Cognitive Psychology. 75. 55–79. 19 indexed citations
11.
Feigenson, Lisa, Melissa E. Libertus, & Justin Halberda. (2013). Links Between the Intuitive Sense of Number and Formal Mathematics Ability. Child Development Perspectives. 7(2). 74–79. 167 indexed citations
12.
Kibbe, Melissa M. & Lisa Feigenson. (2013). Infants use statistical regularities to chunk items in visual working memory.. Journal of Vision. 13(9). 333–333. 2 indexed citations
13.
Libertus, Melissa E., Lisa Feigenson, & Justin Halberda. (2013). Is approximate number precision a stable predictor of math ability?. Learning and Individual Differences. 25. 126–133. 183 indexed citations
14.
Mazzocco, Michèle M. M., Lisa Feigenson, & Justin Halberda. (2011). Impaired acuity of the approximate number system underlies mathematical learning disability. Child Development. 27 indexed citations
15.
Zosh, Jennifer M., Justin Halberda, & Lisa Feigenson. (2011). Memory for multiple visual ensembles in infancy.. Journal of Experimental Psychology General. 140(2). 141–158. 33 indexed citations
16.
Feigenson, Lisa. (2011). Predicting sights from sounds: 6-month-olds’ intermodal numerical abilities. Journal of Experimental Child Psychology. 110(3). 347–361. 32 indexed citations
17.
Mazzocco, Michèle M. M., Lisa Feigenson, & Justin Halberda. (2011). Preschoolers' Precision of the Approximate Number System Predicts Later School Mathematics Performance. PLoS ONE. 6(9). e23749–e23749. 311 indexed citations
18.
Feigenson, Lisa, et al.. (2010). A One‐to‐One Bias and Fast Mapping Support Preschoolers’ Learning About Faces and Voices. Cognitive Science. 34(5). 719–751. 11 indexed citations
19.
Halberda, Justin, Michèle M. M. Mazzocco, & Lisa Feigenson. (2008). Individual differences in non-verbal number acuity correlate with maths achievement. Nature. 455(7213). 665–668. 1048 indexed citations breakdown →
20.
Feigenson, Lisa. (2007). The equality of quantity. Trends in Cognitive Sciences. 11(5). 185–187. 95 indexed citations

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.

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