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.
Corporate Culture, Customer Orientation, and Innovativeness in Japanese Firms: A Quadrad Analysis
19932.9k citationsRohit Deshpandé, John U. Farley et al.Journal of Marketingprofile →
Corporate Culture, Customer Orientation, and Innovativeness in Japanese Firms: A Quadrad Analysis
19931.4k citationsRohit Deshpandé, John U. Farley et al.Journal of Marketingprofile →
Determinants of Financial Performance: A Meta-Analysis
1990861 citationsJohn U. Farley, Scott Hoenig et al.Management Scienceprofile →
Measuring Market Orientation: Generalization and Synthesis
1998563 citationsRohit Deshpandé, John U. Farleyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by John U. Farley
Since
Specialization
Citations
This map shows the geographic impact of John U. Farley'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 John U. Farley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John U. Farley more than expected).
This network shows the impact of papers produced by John U. Farley. 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 John U. Farley. The network helps show where John U. Farley may publish in the future.
Co-authorship network of co-authors of John U. Farley
This figure shows the co-authorship network connecting the top 25 collaborators of John U. Farley.
A scholar is included among the top collaborators of John U. Farley 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 John U. Farley. John U. Farley is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Armstrong, J. Scott & John U. Farley. (2011). A note on the use of Markov chains in forecasting store choice. Scholarly Commons (University of Pennsylvania).1 indexed citations
4.
Kopalle, Praveen K., Donald R. Lehmann, & John U. Farley. (2010). Consumer Expectations and Culture: The Effect of Belief in Karma in India. SSRN Electronic Journal.5 indexed citations
Deshpandé, Rohit & John U. Farley. (2004). Market Orientation, Innovativeness and Organizational Culture: Thai Firms Adapt to the Asian Economic Crisis.4 indexed citations
8.
Farley, John U., et al.. (2001). Tigers and dragons : profiling high performance Asian firms. Marketing Science Institute eBooks.7 indexed citations
9.
Pyke, David F., David J. Robb, & John U. Farley. (2000). Manufacturing and Supply Chain Management in China: A Survey of State-, Collective-, and Privately-Owned Enterprises. Digital USD (University of San Diego).2 indexed citations
10.
Farley, John U., et al.. (1997). Factors Affecting Organizational Performance: A Five-Country Comparison. Marketing Science Institute eBooks.52 indexed citations
11.
Deshpandé, Rohit & John U. Farley. (1996). Understanding market orientation : a prospectively designed meta-analysis of three market orientation scales : working paper. Marketing Science Institute eBooks.53 indexed citations
Farley, John U. & Donald R. Lehmann. (1977). An Overview of Empirical Applications of Buyer Behavior System Models. ACR North American Advances.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.