Tamar Kushnir

5.4k total citations · 1 hit paper
99 papers, 3.4k citations indexed

About

Tamar Kushnir is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Tamar Kushnir has authored 99 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Developmental and Educational Psychology, 34 papers in Cognitive Neuroscience and 30 papers in Social Psychology. Recurrent topics in Tamar Kushnir's work include Child and Animal Learning Development (60 papers), Cultural Differences and Values (17 papers) and Psychology of Moral and Emotional Judgment (16 papers). Tamar Kushnir is often cited by papers focused on Child and Animal Learning Development (60 papers), Cultural Differences and Values (17 papers) and Psychology of Moral and Emotional Judgment (16 papers). Tamar Kushnir collaborates with scholars based in United States, Israel and United Kingdom. Tamar Kushnir's co-authors include Alison Gopnik, David M. Sobel, Laura Schulz, David Danks, Fei Xu, Clark Glymour, Henry M. Wellman, Nadia Chernyak, Y Itzchak and Rafael Malach and has published in prestigious journals such as Neuron, PLoS ONE and NeuroImage.

In The Last Decade

Tamar Kushnir

93 papers receiving 3.2k citations

Hit Papers

A Theory of Causal Learning in Children: Causal Maps and ... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamar Kushnir United States 27 1.8k 1.0k 725 442 407 99 3.4k
Tania Lombrozo United States 31 1.4k 0.8× 966 0.9× 635 0.9× 929 2.1× 549 1.3× 141 3.7k
Evan Heit United States 27 1.0k 0.6× 1.0k 1.0× 461 0.6× 642 1.5× 155 0.4× 71 2.3k
James A. Hampton United Kingdom 31 1.2k 0.7× 747 0.7× 488 0.7× 717 1.6× 83 0.2× 117 3.6k
Patricia W. Cheng United States 23 2.1k 1.2× 1.0k 1.0× 530 0.7× 1.7k 3.8× 214 0.5× 54 3.9k
George A. Miller United States 20 692 0.4× 1.2k 1.1× 710 1.0× 406 0.9× 252 0.6× 60 4.4k
Mike Oaksford United Kingdom 40 1.5k 0.8× 1.4k 1.3× 375 0.5× 2.5k 5.7× 138 0.3× 118 5.6k
Keith A. Hutchison United States 29 1.6k 0.9× 2.8k 2.7× 644 0.9× 650 1.5× 86 0.2× 96 5.2k
Stephen P. Stich United States 27 777 0.4× 1.5k 1.5× 788 1.1× 435 1.0× 112 0.3× 66 4.2k
Douglas K. Detterman United States 31 1.3k 0.7× 773 0.7× 650 0.9× 348 0.8× 808 2.0× 101 4.2k
Stephen Laurence United Kingdom 19 503 0.3× 524 0.5× 504 0.7× 231 0.5× 105 0.3× 44 2.0k

Countries citing papers authored by Tamar Kushnir

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Kushnir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Kushnir

This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Kushnir. A scholar is included among the top collaborators of Tamar Kushnir 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 Tamar Kushnir. Tamar Kushnir 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.
Flanagan, Teresa, et al.. (2025). But Why?: Children’s belief in the necessity of explanations. Journal of Experimental Child Psychology. 260. 106317–106317. 1 indexed citations
2.
Flanagan, Teresa, N. Georgiou, Brian Scassellati, & Tamar Kushnir. (2024). School-age children are more skeptical of inaccurate robots than adults. Cognition. 249. 105814–105814. 2 indexed citations
3.
Xu, Fei, et al.. (2024). Children's cost-benefit analysis about agents who act for the greater good. Cognition. 256. 106051–106051.
4.
Kushnir, Tamar, et al.. (2023). Children are eager to take credit for prosocial acts, and cost affects this tendency. Journal of Experimental Child Psychology. 237. 105764–105764. 3 indexed citations
5.
Nichols, Shaun S., et al.. (2021). Is children's norm learning rational? A meta-analysis. eScholarship (California Digital Library). 43(43). 1 indexed citations
6.
Liu, Judy, et al.. (2021). The Community-Engaged Lab: A Case-Study Introduction for Developmental Science. Frontiers in Psychology. 12. 715914–715914. 2 indexed citations
7.
Kushnir, Tamar, et al.. (2017). Young children consider individual authority and collective agreement when deciding who can change rules. Journal of Experimental Child Psychology. 165. 101–116. 15 indexed citations
8.
Kushnir, Tamar & Susan A. Gelman. (2016). Translating testimonial claims into evidence for category-based induction.. Cognitive Science. 1 indexed citations
9.
Wente, Adrienne, et al.. (2016). The Relationship Between Inhibitory Control and Free Will Beliefs in 4-to 6-Year-Old-Children.. Cognitive Science. 3 indexed citations
10.
Yu, Yue & Tamar Kushnir. (2015). Understanding young children's imitative behavior from an individual differences perspective.. Cognitive Science. 2 indexed citations
11.
Yu, Yue & Tamar Kushnir. (2015). When what’s inside counts: Sequence of demonstrated actions affects preschooler’s categorization by nonobvious properties.. Developmental Psychology. 52(3). 400–410. 7 indexed citations
12.
Lucas, Christopher G., Thomas L. Griffiths, Fei Xu, et al.. (2014). The Child as Econometrician: A Rational Model of Preference Understanding in Children. PLoS ONE. 9(3). e92160–e92160. 64 indexed citations
13.
Kushnir, Tamar, et al.. (2013). Inferring One’s Own Prosociality Through Choice: Giving Preschoolers Costly Prosocial Choices Increases Subsequent Sharing Behavior. Cognitive Science. 35(35). 1 indexed citations
14.
Sobel, David M. & Tamar Kushnir. (2013). Knowledge matters: How children evaluate the reliability of testimony as a process of rational inference.. Psychological Review. 120(4). 779–797. 152 indexed citations
15.
Kushnir, Tamar. (2012). Developing a Concept of Choice. Advances in child development and behavior. 43. 193–218. 11 indexed citations
16.
Yu, Yue & Tamar Kushnir. (2011). It’s all about the game: Infants’ action strategies during imitation are influenced by their prior expectations. Cognitive Science. 33(33). 6 indexed citations
17.
Chernyak, Nadia, et al.. (2011). A Comparison of Nepalese and American Children’s Concepts of Free Will. Cognitive Science. 33(33). 1 indexed citations
18.
Chernyak, Nadia, Tamar Kushnir, & Henry M. Wellman. (2009). Preschoolers' Understanding of Freedom of Choice. eScholarship (California Digital Library). 31(31). 10 indexed citations
19.
Kushnir, Tamar, Alison Gopnik, Laura Schulz, & David Danks. (2003). Inferring Hidden Causes. eScholarship (California Digital Library). 25(25). 25 indexed citations
20.
Kushnir, Tamar, et al.. (1987). The protective effect of enriched branched chain amino acid formulation in the ischemic heart: A phosphorous-31 nuclear magnetic resonance study. Journal of Molecular and Cellular Cardiology. 19(10). 991–998. 17 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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