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.
Progress in partial least squares structural equation modeling use in marketing research in the last decade
2022612 citationsMarko Sarstedt, Joseph F. Hair et al.Psychology and Marketingprofile →
Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT
2022246 citationsPratyush Nidhi Sharma, Benjamin D. Liengaard et al.European Journal of Marketingprofile →
Prediction: Coveted, Yet Forsaken? Introducing a Cross‐Validated Predictive Ability Test in Partial Least Squares Path Modeling
2020228 citationsBenjamin D. Liengaard, Pratyush Nidhi Sharma et al.Decision Sciencesprofile →
Going beyond the untold facts in PLS–SEM and moving forward
202455 citationsJoe F. Hair, Marko Sarstedt et al.European Journal of Marketingprofile →
Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling
202441 citationsMarko Sarstedt, Christian M. Ringle et al.Journal of Product Innovation Managementprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Benjamin D. Liengaard
Since
Specialization
Citations
This map shows the geographic impact of Benjamin D. Liengaard'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 Benjamin D. Liengaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin D. Liengaard more than expected).
Fields of papers citing papers by Benjamin D. Liengaard
This network shows the impact of papers produced by Benjamin D. Liengaard. 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 Benjamin D. Liengaard. The network helps show where Benjamin D. Liengaard may publish in the future.
Co-authorship network of co-authors of Benjamin D. Liengaard
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin D. Liengaard.
A scholar is included among the top collaborators of Benjamin D. Liengaard 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 Benjamin D. Liengaard. Benjamin D. Liengaard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
13 of 13 papers shown
1.
Sarstedt, Marko, Christian M. Ringle, Gyeongcheol Cho, et al.. (2024). Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling. Journal of Product Innovation Management. 41(6). 1100–1117.41 indexed citations breakdown →
Hair, Joe F., Marko Sarstedt, Christian M. Ringle, Pratyush Nidhi Sharma, & Benjamin D. Liengaard. (2024). Going beyond the untold facts in PLS–SEM and moving forward. European Journal of Marketing. 58(13). 81–106.55 indexed citations breakdown →
Sarstedt, Marko, et al.. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology and Marketing. 39(5). 1035–1064.612 indexed citations breakdown →
9.
Sharma, Pratyush Nidhi, Benjamin D. Liengaard, Joseph F. Hair, Marko Sarstedt, & Christian M. Ringle. (2022). Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT. European Journal of Marketing. 57(6). 1662–1677.246 indexed citations breakdown →
10.
Liengaard, Benjamin D., Pratyush Nidhi Sharma, G. Tomas M. Hult, et al.. (2021). Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling. SSRN Electronic Journal.9 indexed citations
11.
Liengaard, Benjamin D., Pratyush Nidhi Sharma, G. Tomas M. Hult, et al.. (2020). Prediction: Coveted, Yet Forsaken? Introducing a Cross‐Validated Predictive Ability Test in Partial Least Squares Path Modeling. Decision Sciences. 52(2). 362–392.228 indexed citations breakdown →
12.
Liengaard, Benjamin D.. (2020). Comparing Models and Measures using Partial Least Squares Path Modeling.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.