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.
Understanding influencer marketing: The role of congruence between influencers, products and consumers
2021334 citationsDaniel Belanche, Luis V. Casaló et al.Journal of Business Researchprofile →
Influencer marketing on TikTok: The effectiveness of humor and followers’ hedonic experience
2022183 citationsSergio Barta, Daniel Belanche et al.Journal of Retailing and Consumer Servicesprofile →
Building influencers' credibility on Instagram: Effects on followers’ attitudes and behavioral responses toward the influencer
2021154 citationsDaniel Belanche, Luis V. Casaló et al.Journal of Retailing and Consumer Servicesprofile →
Attitudes toward service robots: analyses of explicit and implicit attitudes based on anthropomorphism and construal level theory
2021144 citationsDaniel Belanche, Marta Flavián et al.International Journal of Contemporary Hospitality Managementprofile →
Human versus virtual influences, a comparative study
202475 citationsDaniel Belanche, Luis V. Casaló et al.Journal of Business Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Marta Flavián'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 Marta Flavián with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Flavián more than expected).
This network shows the impact of papers produced by Marta Flavián. 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 Marta Flavián. The network helps show where Marta Flavián may publish in the future.
Co-authorship network of co-authors of Marta Flavián
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Flavián.
A scholar is included among the top collaborators of Marta Flavián 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 Marta Flavián. Marta Flavián is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
11 of 11 papers shown
1.
Belanche, Daniel, Luis V. Casaló, & Marta Flavián. (2024). Human versus virtual influences, a comparative study. Journal of Business Research. 173. 114493–114493.75 indexed citations breakdown →
Barta, Sergio, et al.. (2022). Influencer marketing on TikTok: The effectiveness of humor and followers’ hedonic experience. Journal of Retailing and Consumer Services. 70. 103149–103149.183 indexed citations breakdown →
5.
Belanche, Daniel, Luis V. Casaló, Marta Flavián, & Sergio Ibáñez‐Sánchez. (2021). Building influencers' credibility on Instagram: Effects on followers’ attitudes and behavioral responses toward the influencer. Journal of Retailing and Consumer Services. 61. 102585–102585.154 indexed citations breakdown →
Belanche, Daniel, et al.. (2021). Attitudes toward service robots: analyses of explicit and implicit attitudes based on anthropomorphism and construal level theory. International Journal of Contemporary Hospitality Management. 35(8). 2816–2837.144 indexed citations breakdown →
8.
Belanche, Daniel, Luis V. Casaló, Marta Flavián, & Sergio Ibáñez‐Sánchez. (2021). Understanding influencer marketing: The role of congruence between influencers, products and consumers. Journal of Business Research. 132. 186–195.334 indexed citations breakdown →
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.