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.
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents
2020233 citationsSara Moussawi, Marios Koufaris et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Raquel Benbunan‐Fich
Since
Specialization
Citations
This map shows the geographic impact of Raquel Benbunan‐Fich'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 Raquel Benbunan‐Fich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel Benbunan‐Fich more than expected).
Fields of papers citing papers by Raquel Benbunan‐Fich
This network shows the impact of papers produced by Raquel Benbunan‐Fich. 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 Raquel Benbunan‐Fich. The network helps show where Raquel Benbunan‐Fich may publish in the future.
Co-authorship network of co-authors of Raquel Benbunan‐Fich
This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Benbunan‐Fich.
A scholar is included among the top collaborators of Raquel Benbunan‐Fich 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 Raquel Benbunan‐Fich. Raquel Benbunan‐Fich is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Benbunan‐Fich, Raquel, et al.. (2020). Impact of Information Presentation Format on User Decision-making: A Format-stage Fit Perspective.. Journal of the Association for Information Systems.1 indexed citations
4.
Benbunan‐Fich, Raquel. (2020). User Satisfaction with Wearables. AIS Transactions on Human-Computer Interaction. 1–27.10 indexed citations
5.
Benbunan‐Fich, Raquel & Arturo Rodríguez Castellanos. (2018). Digitization of Land Records: From Paper to Blockchain.. Journal of the Association for Information Systems.17 indexed citations
6.
Benbunan‐Fich, Raquel. (2017). Usability of Wearables without Affordances. Journal of the Association for Information Systems.5 indexed citations
7.
Mamonov, Stanislav & Raquel Benbunan‐Fich. (2016). PREDICTING MORTGAGE DEFAULT: LESSONS FROM DATA MINING FANNIE MAE MORTGAGE PORTFOLIO. 187–194.
Benbunan‐Fich, Raquel. (2012). Developing a Theory of Multitasking Behavior. International Conference on Information Systems.1 indexed citations
11.
Benbunan‐Fich, Raquel. (2012). Measurement of Multitasking with Focus Shift Analysis. International Conference on Information Systems.2 indexed citations
12.
Benbunan‐Fich, Raquel. (2011). An Entropy Index for Multitasking Behavior. Journal of the Association for Information Systems.3 indexed citations
Mavlanova, Tamilla & Raquel Benbunan‐Fich. (2009). The Effect of Product Presentation and Website Trust Features on the Perception of Counterfeit Deception. Journal of the Association for Information Systems. 698.
Mavlanova, Tamilla, Raquel Benbunan‐Fich, & Nanda Kumar. (2008). Deception Tactics and Counterfeit Deception in Online Environments. Journal of the Association for Information Systems. 105.4 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.