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.
Cloud computing adoption by SMEs in the north east of England
2013553 citationsSavvas Papagiannidis, Feng Li et al.profile →
A systematic review of the smart home literature: A user perspective
2018428 citationsDavit Marikyan, Savvas Papagiannidis et al.Technological Forecasting and Social Changeprofile →
Virtual Influencers in Consumer Behaviour: A Social Influence Theory Perspective
202425 citationsSimos Chari, Savvas Papagiannidis et al.British Journal of Managementprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Savvas Papagiannidis
Since
Specialization
Citations
This map shows the geographic impact of Savvas Papagiannidis'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 Savvas Papagiannidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Savvas Papagiannidis more than expected).
Fields of papers citing papers by Savvas Papagiannidis
This network shows the impact of papers produced by Savvas Papagiannidis. 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 Savvas Papagiannidis. The network helps show where Savvas Papagiannidis may publish in the future.
Co-authorship network of co-authors of Savvas Papagiannidis
This figure shows the co-authorship network connecting the top 25 collaborators of Savvas Papagiannidis.
A scholar is included among the top collaborators of Savvas Papagiannidis 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 Savvas Papagiannidis. Savvas Papagiannidis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Chari, Simos, et al.. (2024). Virtual Influencers in Consumer Behaviour: A Social Influence Theory Perspective. British Journal of Management. 36(1). 202–222.25 indexed citations breakdown →
Marikyan, Davit, Savvas Papagiannidis, Omer Rana, & Rajiv Ranjan. (2021). The role of privacy and security threats in the adoption of a blockchain. Journal of the Association for Information Systems.
Marikyan, Davit, Savvas Papagiannidis, & Eleftherios Alamanos. (2018). A systematic review of the smart home literature: A user perspective. Technological Forecasting and Social Change. 138. 139–154.428 indexed citations breakdown →
Dennis, Charles, Savvas Papagiannidis, Eleftherios Alamanos, & Michael Bourlakis. (2016). The role of brand attachment and its antecedents in brand equity in higher education.3 indexed citations
17.
Papagiannidis, Savvas. (2008). From 2D to 3D: Making the transition from web to metaverse retailing.4 indexed citations
18.
Papagiannidis, Savvas, et al.. (2008). Internet-induced marketing techniques: Critical factors of viral marketing. SHILAP Revista de lepidopterología.7 indexed citations
19.
Papagiannidis, Savvas, et al.. (2007). New Frontiers in e-Business and e-Government. International Journal of Business.1 indexed citations
20.
Barlow, Alexis, et al.. (2007). New frontiers in e-Business and e-Government: emerging opportunities and challenges. SHILAP Revista de lepidopterología. 2(1). 3–8.1 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.