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.
Blockchain adoption in food supply chains: a review and implementation framework
2021173 citationsAbhijeet Ghadge, Michael Bourlakis et al.Production Planning & Controlprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Michael Bourlakis
Since
Specialization
Citations
This map shows the geographic impact of Michael Bourlakis'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 Michael Bourlakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bourlakis more than expected).
Fields of papers citing papers by Michael Bourlakis
This network shows the impact of papers produced by Michael Bourlakis. 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 Michael Bourlakis. The network helps show where Michael Bourlakis may publish in the future.
Co-authorship network of co-authors of Michael Bourlakis
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bourlakis.
A scholar is included among the top collaborators of Michael Bourlakis 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 Michael Bourlakis. Michael Bourlakis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ghadge, Abhijeet, et al.. (2021). Blockchain adoption in food supply chains: a review and implementation framework. Production Planning & Control. 34(6). 506–523.173 indexed citations breakdown →
9.
Mohri, Seyed Sina, Nasrin Asgari, Reza Zanjirani Farahani, Michael Bourlakis, & Benjamin Laker. (2020). Fairness in hazmat routing-scheduling: A bi-objective Stackelberg game. Transportation Research Part E Logistics and Transportation Review. 140. 102006–102006.20 indexed citations
Ghadge, Abhijeet, et al.. (2017). Implementing Environmental Practices within the Greek Dairy Supply Chain: Drivers and Barriers for SMEs. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).7 indexed citations
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
14.
Manika, Danae, Savvas Papagiannidis, & Michael Bourlakis. (2013). The effects of a CEO's YouTube apology for service failure on customer's behavioural intentions..1 indexed citations
15.
Spence, Laura J. & Michael Bourlakis. (2009). The Evolution from Corporate Social Responsibility to Supply Chain Responsibility: The Case of Waitrose. SSRN Electronic Journal.1 indexed citations
16.
Papagiannidis, Savvas, et al.. (2008). Internet-induced marketing techniques: Critical factors of viral marketing. SHILAP Revista de lepidopterología.7 indexed citations
Mamalis, Spyridon, Mitchell Ness, & Michael Bourlakis. (2005). Tangible and intangible store image attributes in consumer decision making: The case of fast food restaurants. Kent Academic Repository (University of Kent).7 indexed citations
Bourlakis, Michael. (2001). Future issues in supply chain management. Kent Academic Repository (University of Kent).3 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.