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.
Big data analytics and firm performance: Effects of dynamic capabilities
20161.4k citationsSamuel Fosso Wamba, Angappa Gunasekaran et al.Journal of Business Researchprofile →
How to improve firm performance using big data analytics capability and business strategy alignment?
2016932 citationsShahriar Akter, Samuel Fosso Wamba et al.International Journal of Production Economicsprofile →
Big data and predictive analytics for supply chain and organizational performance
2016792 citationsAngappa Gunasekaran, Θάνος Παπαδόπουλος et al.Journal of Business Researchprofile →
Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience
2019633 citationsRameshwar Dubey, Angappa Gunasekaran et al.International Journal of Production Researchprofile →
Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture
2019580 citationsRameshwar Dubey, Angappa Gunasekaran et al.British Journal of Managementprofile →
Can big data and predictive analytics improve social and environmental sustainability?
2017550 citationsRameshwar Dubey, Angappa Gunasekaran et al.profile →
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, Angappa Gunasekaran et al.International Journal of Production Economicsprofile →
The role of Big Data in explaining disaster resilience in supply chains for sustainability
2016485 citationsΘάνος Παπαδόπουλος, Angappa Gunasekaran et al.profile →
Sustainable supply chain management: framework and further research directions
2016438 citationsRameshwar Dubey, Angappa Gunasekaran et al.profile →
Supply chain agility, adaptability and alignment
2017364 citationsRameshwar Dubey, Nezih Altay et al.International Journal of Operations & Production Managementprofile →
Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: a dynamic capability view
Countries citing papers authored by Stephen J. Childe
Since
Specialization
Citations
This map shows the geographic impact of Stephen J. Childe'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 Stephen J. Childe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Childe more than expected).
Fields of papers citing papers by Stephen J. Childe
This network shows the impact of papers produced by Stephen J. Childe. 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 Stephen J. Childe. The network helps show where Stephen J. Childe may publish in the future.
Co-authorship network of co-authors of Stephen J. Childe
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Childe.
A scholar is included among the top collaborators of Stephen J. Childe 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 Stephen J. Childe. Stephen J. Childe 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.
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 →
2.
Dubey, Rameshwar, Angappa Gunasekaran, Stephen J. Childe, et al.. (2019). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research. 59(1). 110–128.633 indexed citations breakdown →
3.
Dubey, Rameshwar, Angappa Gunasekaran, Stephen J. Childe, Constantin Blome, & Θάνος Παπαδόπουλος. (2019). Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture. British Journal of Management. 30(2). 341–361.580 indexed citations breakdown →
4.
Dubey, Rameshwar, Angappa Gunasekaran, Stephen J. Childe, et al.. (2019). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics. 226. 107599–107599.518 indexed citations breakdown →
Dubey, Rameshwar, Angappa Gunasekaran, & Stephen J. Childe. (2018). Big data analytics capability in supply chain agility. Management Decision. 57(8). 2092–2112.324 indexed citations breakdown →
7.
Altay, Nezih, Angappa Gunasekaran, Rameshwar Dubey, & Stephen J. Childe. (2018). Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: a dynamic capability view. Production Planning & Control. 29(14). 1158–1174.324 indexed citations breakdown →
Wamba, Samuel Fosso, et al.. (2016). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research. 70. 356–365.1435 indexed citations breakdown →
15.
Mishra, Deepa, Angappa Gunasekaran, Θάνος Παπαδόπουλος, & Stephen J. Childe. (2016). Big Data and supply chain management: a review and bibliometric analysis. Annals of Operations Research. 270(1-2). 313–336.279 indexed citations breakdown →
Childe, Stephen J., et al.. (1993). The Application of Hierarchical Control Systems to Reduce Lead Times in One-of-a-Kind Production (OKP). 517–524.1 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.