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 Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications
20121.7k citationsJoseph F. Hair, Marko Sarstedt et al.Long Range Planningprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Torsten M. Pieper
Since
Specialization
Citations
This map shows the geographic impact of Torsten M. Pieper'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 Torsten M. Pieper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten M. Pieper more than expected).
Fields of papers citing papers by Torsten M. Pieper
This network shows the impact of papers produced by Torsten M. Pieper. 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 Torsten M. Pieper. The network helps show where Torsten M. Pieper may publish in the future.
Co-authorship network of co-authors of Torsten M. Pieper
This figure shows the co-authorship network connecting the top 25 collaborators of Torsten M. Pieper.
A scholar is included among the top collaborators of Torsten M. Pieper 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 Torsten M. Pieper. Torsten M. Pieper is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hair, Joseph F., Marko Sarstedt, Torsten M. Pieper, & Christian M. Ringle. (2012). The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications. SSRN Electronic Journal.1 indexed citations
15.
Hair, Joseph F., Marko Sarstedt, Torsten M. Pieper, & Christian M. Ringle. (2012). Applications of Partial Least Squares Path Modeling in Management Journals: A Review of Past Practices and Recommendations for Future Applications. SSRN Electronic Journal.28 indexed citations
Hair, Joseph F., Marko Sarstedt, Torsten M. Pieper, & Christian M. Ringle. (2012). The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications. Long Range Planning. 45(5-6). 320–340.1685 indexed citations breakdown →
18.
Astrachan, Joseph H. & Torsten M. Pieper. (2010). Editors’ note. Journal of Family Business Strategy. 1(2). 65–66.1 indexed citations
19.
Sciascia, Salvatore, Pietro Mazzola, Joseph H. Astrachan, & Torsten M. Pieper. (2009). FAMILY OWNERSHIP AND INVOLVEMENT: EXPLORING NONLINEAR EFFECTS ON INTERNATIONALIZATION (SUMMARY). Frontiers of entrepreneurship research. 29(14). 7.1 indexed citations
20.
Pieper, Torsten M.. (2007). Mechanisms to assure long-term family business survival : a study of the dynamics of cohesion in multigenerational family business families. Peter Lang eBooks.50 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.