Noah Castelo

2.1k total citations · 3 hit papers
24 papers, 1.3k citations indexed

About

Noah Castelo is a scholar working on Sociology and Political Science, Cognitive Neuroscience and Safety Research. According to data from OpenAlex, Noah Castelo has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 8 papers in Cognitive Neuroscience and 7 papers in Safety Research. Recurrent topics in Noah Castelo's work include Ethics and Social Impacts of AI (6 papers), Psychology of Moral and Emotional Judgment (5 papers) and Privacy, Security, and Data Protection (4 papers). Noah Castelo is often cited by papers focused on Ethics and Social Impacts of AI (6 papers), Psychology of Moral and Emotional Judgment (5 papers) and Privacy, Security, and Data Protection (4 papers). Noah Castelo collaborates with scholars based in Canada, United States and Netherlands. Noah Castelo's co-authors include Donald R. Lehmann, Maarten W. Bos, Miklós Sárváry, Peter B. Reiner, Gidon Felsen, Christian Hildebrand, Alexander P. Henkel, Johannes Boegershausen, Bernd H. Schmitt and Miranda Goode and has published in prestigious journals such as PLoS ONE, American Psychologist and Journal of Marketing Research.

In The Last Decade

Noah Castelo

24 papers receiving 1.2k citations

Hit Papers

Task-Dependent Algorithm Aversion 2019 2026 2021 2023 2019 2023 2024 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
Noah Castelo Canada 13 500 415 395 268 259 24 1.3k
Jennifer M. Logg United States 9 324 0.6× 334 0.8× 467 1.2× 200 0.7× 194 0.7× 17 1.2k
Nils Köbis Germany 15 109 0.2× 454 1.1× 353 0.9× 266 1.0× 130 0.5× 39 892
Michael Yeomans United States 11 233 0.5× 270 0.7× 157 0.4× 85 0.3× 155 0.6× 26 845
Nicola J. Bown United Kingdom 11 111 0.2× 517 1.2× 103 0.3× 177 0.7× 341 1.3× 15 1.1k
William M. Goldstein United States 14 196 0.4× 204 0.5× 174 0.4× 161 0.6× 133 0.5× 19 1.2k
Marilyn Giroux New Zealand 13 342 0.7× 512 1.2× 82 0.2× 79 0.3× 168 0.6× 23 1.0k
Ilan Fischer Israel 11 95 0.2× 286 0.7× 232 0.6× 129 0.5× 143 0.6× 27 1.1k
Pok Man Tang United States 16 361 0.7× 349 0.8× 149 0.4× 137 0.5× 372 1.4× 25 1.5k
Lyle Brenner United States 14 66 0.1× 286 0.7× 135 0.3× 121 0.5× 101 0.4× 30 1.1k
Jane Beattie United Kingdom 12 80 0.2× 329 0.8× 169 0.4× 160 0.6× 165 0.6× 17 1.7k

Countries citing papers authored by Noah Castelo

Since Specialization
Citations

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

Fields of papers citing papers by Noah Castelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Castelo

This figure shows the co-authorship network connecting the top 25 collaborators of Noah Castelo. A scholar is included among the top collaborators of Noah Castelo 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 Noah Castelo. Noah Castelo 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.
Castelo, Noah, Kostadin Kushlev, Adrian F. Ward, Michael Esterman, & Peter B. Reiner. (2025). Blocking mobile internet on smartphones improves sustained attention, mental health, and subjective well-being. PNAS Nexus. 4(2). pgaf017–pgaf017. 2 indexed citations
2.
Valenzuela, Ana, Stefano Puntoni, Donna L. Hoffman, et al.. (2024). How Artificial Intelligence Constrains the Human Experience. Journal of the Association for Consumer Research. 9(3). 241–256. 26 indexed citations
3.
Castelo, Noah, Zsolt Katona, Peiyao Li, & Miklós Sárváry. (2024). How AI Outperforms Humans at Creative Idea Generation. SSRN Electronic Journal. 3 indexed citations
4.
Castelo, Noah. (2023). Perceived corruption reduces algorithm aversion. Journal of Consumer Psychology. 34(2). 326–333. 20 indexed citations
5.
Castelo, Noah, Johannes Boegershausen, Christian Hildebrand, & Alexander P. Henkel. (2023). Understanding and Improving Consumer Reactions to Service Bots. Journal of Consumer Research. 50(4). 848–863. 93 indexed citations breakdown →
6.
Li, Peiyao, Noah Castelo, Zsolt Katona, & Miklós Sárváry. (2022). Language Models for Automated Market Research: A New Way to Generate Perceptual Maps. SSRN Electronic Journal. 5 indexed citations
7.
Castelo, Noah & Miklós Sárváry. (2022). Cross-Cultural Differences in Comfort with Humanlike Robots. International Journal of Social Robotics. 14(8). 1865–1873. 20 indexed citations
8.
Castelo, Noah & Adrian F. Ward. (2021). Conservatism predicts aversion to consequential Artificial Intelligence. PLoS ONE. 16(12). e0261467–e0261467. 29 indexed citations
9.
Jackson, Joshua Conrad, Noah Castelo, & Kurt Gray. (2020). Could a rising robot workforce make humans less prejudiced?. American Psychologist. 75(7). 969–982. 38 indexed citations
10.
Castelo, Noah, Maarten W. Bos, & Donald R. Lehmann. (2019). Let the Machine Decide: When Consumers Trust or Distrust Algorithms. 11(2). 24–29. 16 indexed citations
11.
Castelo, Noah, Bernd H. Schmitt, & Miklós Sárváry. (2019). Robot Or Human? How Bodies and Minds Shape Consumer Reactions to Human-Like Robots. ACR North American Advances. 2 indexed citations
12.
Castelo, Noah. (2019). Be Careful What You Wish For: Unintended Consequences of Increasing Reliance on Technology. RePEc: Research Papers in Economics. 4(1). 31–42. 4 indexed citations
13.
Castelo, Noah. (2019). Blurring the Line Between Human and Machine: Marketing Artificial Intelligence. Columbia Academic Commons (Columbia University). 17 indexed citations
14.
Castelo, Noah, Maarten W. Bos, & Donald R. Lehmann. (2019). Task-Dependent Algorithm Aversion. Journal of Marketing Research. 56(5). 809–825. 725 indexed citations breakdown →
15.
Castelo, Noah, Maarten W. Bos, & Donald R. Lehmann. (2018). Consumers’ Trust in Algorithms. ACR North American Advances. 1 indexed citations
16.
Castelo, Noah, Bernd H. Schmitt, & Miklós Sárváry. (2018). Human Or Robot? the Uncanny Valley in Consumer Robots. ACR North American Advances. 2 indexed citations
17.
Castelo, Noah & Adrian Ward. (2016). Political Affiliation Moderates Attitudes Towards Artificial Intelligence. ACR North American Advances. 5 indexed citations
18.
Castelo, Noah, et al.. (2016). Cyborg Consumers: When Human Enhancement Technologies Are Dehumanizing. ACR North American Advances. 1 indexed citations
19.
Castelo, Noah, et al.. (2015). Moving citizens online: Using salience & message framing to motivate behavior change. Behavioral Science & Policy. 1(2). 57–68. 11 indexed citations
20.
Felsen, Gidon, Noah Castelo, & Peter B. Reiner. (2013). Decisional enhancement and autonomy: public attitudes towards overt and covert nudges. Judgment and Decision Making. 8(3). 202–213. 112 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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