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 project benefits of Building Information Modelling (BIM)
2013884 citationsDavid Bryde et al.International Journal of Project Managementprofile →
Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations
2019518 citationsRameshwar Dubey, Stephen J. Childe et al.International Journal of Production Economicsprofile →
Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting
2020466 citationsRameshwar Dubey, Angappa Gunasekaran et al.International Journal of Production Researchprofile →
Effect of eco-innovation on green supply chain management, circular economy capability, and performance of small and medium enterprises
Dynamic digital capabilities and supply chain resilience: The role of government effectiveness
2023215 citationsRameshwar Dubey, David Bryde et al.International Journal of Production Economicsprofile →
Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view
2022186 citationsRameshwar Dubey, David Bryde et al.International Journal of Production Economicsprofile →
Facilitating artificial intelligence powered supply chain analytics through alliance management during the pandemic crises in the B2B context
2021168 citationsRameshwar Dubey, David Bryde et al.profile →
Alliances and digital transformation are crucial for benefiting from dynamic supply chain capabilities during times of crisis: A multi-method study
202458 citationsRameshwar Dubey, David Bryde et al.International Journal of Production Economicsprofile →
Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective
202444 citationsManisha Tiwari, David Bryde et al.Transportation Research Part E Logistics and Transportation Reviewprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of David Bryde'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 David Bryde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bryde more than expected).
This network shows the impact of papers produced by David Bryde. 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 David Bryde. The network helps show where David Bryde may publish in the future.
Co-authorship network of co-authors of David Bryde
This figure shows the co-authorship network connecting the top 25 collaborators of David Bryde.
A scholar is included among the top collaborators of David Bryde 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 David Bryde. David Bryde is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tiwari, Manisha, et al.. (2024). Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective. Transportation Research Part E Logistics and Transportation Review. 188. 103613–103613.44 indexed citations breakdown →
3.
Dubey, Rameshwar, David Bryde, Constantin Blome, et al.. (2024). Alliances and digital transformation are crucial for benefiting from dynamic supply chain capabilities during times of crisis: A multi-method study. International Journal of Production Economics. 269. 109166–109166.58 indexed citations breakdown →
Dubey, Rameshwar, David Bryde, Yogesh K. Dwivedi, et al.. (2023). Dynamic digital capabilities and supply chain resilience: The role of government effectiveness. International Journal of Production Economics. 258. 108790–108790.215 indexed citations breakdown →
8.
Dubey, Rameshwar, David Bryde, Yogesh K. Dwivedi, Gary Graham, & Cyril Foropon. (2022). Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view. International Journal of Production Economics. 250. 108618–108618.186 indexed citations breakdown →
Dubey, Rameshwar, Angappa Gunasekaran, David Bryde, Yogesh K. Dwivedi, & Θάνος Παπαδόπουλος. (2020). Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting. International Journal of Production Research. 58(11). 3381–3398.466 indexed citations breakdown →
Tabassi, Amin Akhavan, Ain Nadzimah Abdullah, & David Bryde. (2018). Conflict management style, team coordination and team performance within multi-cultural temporary project organizations: Evidence from the Malaysian construction industry. Liverpool John Moores University.1 indexed citations
Bryde, David, et al.. (2013). Combining Lean Construction with Maturity Models. SSRN Electronic Journal.3 indexed citations
20.
Bryde, David, et al.. (2012). Developing a “True North” Best Practice Lean Company with Navigational Compass.11 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.