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.
The role played by perceived usability, satisfaction and consumer trust on website loyalty
20051.3k citationsCarlos Flavián, Miguel Guinalíu et al.profile →
Consumer trust, perceived security and privacy policy
2006551 citationsCarlos Flavián, Miguel GuinalíuIndustrial Management & Data Systemsprofile →
Perceived e‐service quality (PeSQ)
2007545 citationsCarlos Flavián, Miguel Guinalíu et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Miguel Guinalíu
Since
Specialization
Citations
This map shows the geographic impact of Miguel Guinalíu'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 Miguel Guinalíu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Guinalíu more than expected).
This network shows the impact of papers produced by Miguel Guinalíu. 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 Miguel Guinalíu. The network helps show where Miguel Guinalíu may publish in the future.
Co-authorship network of co-authors of Miguel Guinalíu
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Guinalíu.
A scholar is included among the top collaborators of Miguel Guinalíu 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 Miguel Guinalíu. Miguel Guinalíu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Igúzquiza, Vidal Díaz de Rada, Luis V. Casaló, & Miguel Guinalíu. (2016). The use of online social networks as a promotional tool for self-administered internet surveys. 25(2). 189–203.4 indexed citations
Casaló, Luis V., Carlos Flavián, & Miguel Guinalíu. (2011). THE GENERATION OF TRUST IN THE ONLINE SERVICES AND PRODUCT DISTRIBUTION: THE CASE OF SPANISH ELECTRONIC COMMERCE. Journal of electronic commerce research. 12(3). 199.45 indexed citations
7.
Casaló, Luis V., Carlos Flavián, & Miguel Guinalíu. (2011). Observación y participación activa en comunidades virtuales comerciales: el caso del sector turismo. 15(2). 113–134.12 indexed citations
Flavián, Carlos & Miguel Guinalíu. (2007). Un análisis de la influencia de la confianza y del riesgo percibido sobre la lealtad a un sitio web. El caso de la distribución de servicio gratuitos. Revista Europea de Dirección y Economía de la Empresa. 16(1). 159–178.13 indexed citations
Flavián, Carlos & Miguel Guinalíu. (2006). La confianza y el compromiso enlas relaciones a través de Internet.Ds pilares básicos del marketingestratégico en la red. Cuadernos de Economía y Dirección de la Empresa. 133–160.10 indexed citations
Flavián, Carlos & Miguel Guinalíu. (2005). La comunidad virtual en la nueva Gestión Empresarial. 39.2 indexed citations
20.
Flavián, Carlos, Eduardo Torres, & Miguel Guinalíu. (2004). Corporate image measurement. International Journal of Bank Marketing. 22(5). 366–384.98 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.