Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Task-Dependent Algorithm Aversion
2019725 citationsNoah Castelo, Maarten W. Bos et al.Journal of Marketing Researchprofile →
Understanding and Improving Consumer Reactions to Service Bots
202393 citationsNoah Castelo, Johannes Boegershausen et al.Journal of Consumer Researchprofile →
Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis
202455 citationsNoah Castelo, Zsolt Katona et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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.
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 →
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
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
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.