Alex Shaw

3.2k total citations
63 papers, 2.0k citations indexed

About

Alex Shaw is a scholar working on Cognitive Neuroscience, Sociology and Political Science and Developmental and Educational Psychology. According to data from OpenAlex, Alex Shaw has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 28 papers in Sociology and Political Science and 26 papers in Developmental and Educational Psychology. Recurrent topics in Alex Shaw's work include Psychology of Moral and Emotional Judgment (28 papers), Child and Animal Learning Development (23 papers) and Experimental Behavioral Economics Studies (19 papers). Alex Shaw is often cited by papers focused on Psychology of Moral and Emotional Judgment (28 papers), Child and Animal Learning Development (23 papers) and Experimental Behavioral Economics Studies (19 papers). Alex Shaw collaborates with scholars based in United States, Israel and United Kingdom. Alex Shaw's co-authors include Kristina R. Olson, Zoe Liberman, Shoham Choshen‐Hillel, Ike Silver, Eugene M. Caruso, Laurie R. Santos, Kristin L. Leimgruber, Peter DeScioli, Vivian Li and Michael I. Norton and has published in prestigious journals such as Journal of Personality and Social Psychology, PLoS ONE and Child Development.

In The Last Decade

Alex Shaw

60 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Shaw United States 27 998 784 695 692 457 63 2.0k
Ori Friedman Canada 27 536 0.5× 1.1k 1.4× 733 1.1× 1.2k 1.8× 135 0.3× 124 2.4k
Nicolas Baumard France 25 1.2k 1.2× 617 0.8× 646 0.9× 279 0.4× 407 0.9× 78 1.9k
Jesse M. Bering United States 26 1.2k 1.2× 686 0.9× 1.1k 1.6× 526 0.8× 173 0.4× 65 2.4k
Marco F. H. Schmidt Germany 18 775 0.8× 717 0.9× 856 1.2× 1.1k 1.7× 175 0.4× 32 1.9k
Yarrow Dunham United States 31 2.1k 2.1× 875 1.1× 1.5k 2.1× 901 1.3× 249 0.5× 117 3.2k
Marjorie Rhodes United States 31 1.6k 1.6× 716 0.9× 1.3k 1.9× 1.5k 2.2× 159 0.3× 90 3.1k
Aiyana K. Willard United Kingdom 20 1.4k 1.4× 489 0.6× 924 1.3× 164 0.2× 166 0.4× 43 2.2k
Kristin Shutts United States 25 1.2k 1.2× 484 0.6× 913 1.3× 933 1.3× 102 0.2× 54 2.5k
Joyce F. Benenson Canada 25 943 0.9× 297 0.4× 1.2k 1.7× 490 0.7× 359 0.8× 73 2.5k
Andrew Scott Baron Canada 25 1.7k 1.7× 578 0.7× 1.1k 1.7× 671 1.0× 141 0.3× 51 2.6k

Countries citing papers authored by Alex Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Alex Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Shaw. A scholar is included among the top collaborators of Alex Shaw 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 Alex Shaw. Alex Shaw 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.
Zhao, Xin, et al.. (2025). When should the majority rule?: Children's developing intuitions about majority rules voting. Cognition. 260. 106128–106128. 1 indexed citations
2.
3.
Shaw, Alex, et al.. (2024). The Ontogeny of Attitudes Toward Migrants. Developmental Science. 28(2). e13599–e13599. 2 indexed citations
4.
Shaw, Alex, et al.. (2024). The nonmeek inherit the earth: Children generalize dominance, but not submissiveness.. Developmental Psychology. 60(7). 1187–1202. 2 indexed citations
5.
Ayalon, Oshrat, et al.. (2023). When it is ok to give the Robot Less: Children’s Fairness Intuitions Towards Robots. International Journal of Social Robotics. 15(9-10). 1581–1601. 3 indexed citations
6.
Hurst, Michelle, Alex Shaw, Nadia Chernyak, & Susan C. Levine. (2020). Giving a larger amount or a larger proportion: Stimulus format impacts children’s social evaluations.. Developmental Psychology. 56(12). 2212–2222. 8 indexed citations
7.
Shaw, Alex, et al.. (2020). The effect of hunger on children’s sharing behavior and fairness preferences. Journal of Experimental Child Psychology. 192. 104786–104786. 16 indexed citations
8.
Kardas, Michael, Alex Shaw, & Eugene M. Caruso. (2018). How to give away your cake and eat it too: Relinquishing control prompts reciprocal generosity.. Journal of Personality and Social Psychology. 115(6). 1054–1074. 12 indexed citations
9.
Choshen‐Hillel, Shoham, Alex Shaw, & Eugene M. Caruso. (2018). Disadvantaged But Not Dissatisfied: How Agency Ameliorates Negative Reactions to Unequal Pay. Academy of Management Proceedings. 2018(1). 10893–10893. 1 indexed citations
10.
Shaw, Alex, et al.. (2018). Crime but not punishment? Children are more lenient toward rule-breaking when the “spirit of the law” is unbroken. Journal of Experimental Child Psychology. 178. 266–282. 18 indexed citations
11.
Kleiman‐Weiner, Max, Alex Shaw, & Josh Tenenbaum. (2017). Constructing Social Preferences From Anticipated Judgments: When Impartial Inequity is Fair and Why?. Cognitive Science. 10 indexed citations
12.
Shaw, Alex & Shoham Choshen‐Hillel. (2017). It’s not fair: Folk intuitions about disadvantageous and advantageous inequity aversion. Judgment and Decision Making. 12(3). 208–223. 6 indexed citations
13.
Shaw, Alex & Shoham Choshen‐Hillel. (2017). It’s not fair: Folk intuitions about disadvantageous and advantageous inequity aversion. Judgment and Decision Making. 12(3). 208–223. 11 indexed citations
14.
Yang, Fan, et al.. (2014). No one likes a copycat: A cross-cultural investigation of children’s response to plagiarism. Journal of Experimental Child Psychology. 121. 111–119. 29 indexed citations
15.
Shaw, Alex & Kristina R. Olson. (2013). All inequality is not equal: children correct inequalities using resource value. Frontiers in Psychology. 4. 393–393. 38 indexed citations
16.
Li, Vivian, Alex Shaw, & Kristina R. Olson. (2013). Ideas versus labor: What do children value in artistic creation?. Cognition. 127(1). 38–45. 34 indexed citations
17.
Shaw, Alex & Kristina R. Olson. (2013). Fairness as partiality aversion: The development of procedural justice. Journal of Experimental Child Psychology. 119. 40–53. 80 indexed citations
18.
Shaw, Alex, Vivian Li, & Kristina R. Olson. (2012). Children Apply Principles of Physical Ownership to Ideas. Cognitive Science. 36(8). 1383–1403. 63 indexed citations
19.
Leimgruber, Kristin L., Alex Shaw, Laurie R. Santos, & Kristina R. Olson. (2012). Young Children Are More Generous When Others Are Aware of Their Actions. PLoS ONE. 7(10). e48292–e48292. 174 indexed citations
20.
Olson, Kristina R. & Alex Shaw. (2010). ‘No fair, copycat!’: what children’s response to plagiarism tells us about their understanding of ideas. Developmental Science. 14(2). 431–439. 62 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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