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.
Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior
2021171 citationsJure Erjavec, Anton ManfredaJournal of Retailing and Consumer Servicesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Anton Manfreda
Since
Specialization
Citations
This map shows the geographic impact of Anton Manfreda'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 Anton Manfreda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Manfreda more than expected).
This network shows the impact of papers produced by Anton Manfreda. 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 Anton Manfreda. The network helps show where Anton Manfreda may publish in the future.
Co-authorship network of co-authors of Anton Manfreda
This figure shows the co-authorship network connecting the top 25 collaborators of Anton Manfreda.
A scholar is included among the top collaborators of Anton Manfreda 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 Anton Manfreda. Anton Manfreda is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Erjavec, Jure & Anton Manfreda. (2021). Online shopping adoption during COVID-19 and social isolation: Extending the UTAUT model with herd behavior. Journal of Retailing and Consumer Services. 65. 102867–102867.171 indexed citations breakdown →
5.
Manfreda, Anton, et al.. (2020). TECHNOLOGICAL ENTHUSIASM AS A DISTINCTIVE ELEMENT FOR ADOPTING SEMI AND FULLY AUTONOMOUS VEHICLES. Journal of the Association for Information Systems.1 indexed citations
Manfreda, Anton. (2018). NEW BUSINESS MODELS – FROM BUSINESS PROCESS REDESIGN TO THE DIGITAL TRANSFORMATION. University of Zagreb University Computing Centre (SRCE). 1(1). 69–79.
Erjavec, Jure, Aleš Groznik, Miro Gradišar, et al.. (2015). Analiza stanja poslovne informatike v slovenskih podjetjih in javnih organizacijah. Repository of the University of Ljubljana (University of Ljubljana).1 indexed citations
13.
Groznik, Aleš & Anton Manfreda. (2015). E-INVOICING AND E-GOVERNMENT – IMPACT ON BUSINESS PROCESSES. University of Zagreb University Computing Centre (SRCE). 2(1). 204–217.2 indexed citations
Manfreda, Anton & Mojca Indihar Štemberger. (2013). The impact of top management support on the perceived IS value – should we focus on the partnership?. 23.1 indexed citations
18.
Štemberger, Mojca Indihar, Anton Manfreda, & Andrej Kovačić. (2011). Achieving Mop Management Support with Business Knowledge and Role of IT/IS Personnel. SSRN Electronic Journal.2 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.