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.
Supply networks and complex adaptive systems: control versus emergence
20011.1k citationsThomas Y. Choi, Kevin Dooley et al.Journal of Operations Managementprofile →
Structural investigation of supply networks: A social network analysis approach
2010553 citationsYusoon Kim, Thomas Y. Choi et al.Journal of Operations Managementprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Kevin Dooley'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 Kevin Dooley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Dooley more than expected).
This network shows the impact of papers produced by Kevin Dooley. 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 Kevin Dooley. The network helps show where Kevin Dooley may publish in the future.
Co-authorship network of co-authors of Kevin Dooley
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Dooley.
A scholar is included among the top collaborators of Kevin Dooley 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 Kevin Dooley. Kevin Dooley is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Johnson, Jonathan L., et al.. (2018). Cross-Sector Relations in Global Supply Chains: A Social Capital Perspective. SSRN Electronic Journal.4 indexed citations
Dooley, Kevin & Brenda J. Zimmerman. (2013). Merger as marriage: Communication issues in postmerger integration: From health care management review (2003). 215–227.1 indexed citations
8.
Kim, Yusoon, Thomas Y. Choi, Tingting Yan, & Kevin Dooley. (2010). Structural investigation of supply networks: A social network analysis approach. Journal of Operations Management. 29(3). 194–211.553 indexed citations breakdown →
Guastello, Stephen J., William Sulis, T. A. Minelli, et al.. (2008). Chaos and Complexity in Psychology. Cambridge University Press eBooks.151 indexed citations
Choi, Thomas Y., Kevin Dooley, & Manus Rungtusanatham. (2001). Supply networks and complex adaptive systems: control versus emergence. Journal of Operations Management. 19(3). 351–366.1082 indexed citations breakdown →
Rothenberger, Marcus A., Uday Kulkarni, & Kevin Dooley. (1998). Critical success factors for software projects. International Conference on Information Systems. 331–335.4 indexed citations
Guastello, Stephen J., Kevin Dooley, & Jeffrey A. Goldstein. (1995). Chaos, organizational theory, and organizational development..12 indexed citations
18.
Dooley, Kevin, et al.. (1991). Dynamic rules for due-date assignment. International Journal of Production Research. 29(7). 1361–1377.103 indexed citations
19.
Guo, Yuan & Kevin Dooley. (1990). Application of neural networks to a diagnostic problem in quality control. 111–122.5 indexed citations
20.
Dooley, Kevin, Shiv G. Kapoor, Mohamed I. Dessouky, & Richard E. DeVor. (1986). INTEGRATED QUALITY SYSTEMS APPROACH TO QUALITY AND PRODUCTIVITY IMPROVEMENT IN CONTINUOUS MANUFACTURING PROCESSES..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.