Benjamin D. Liengaard

15 total papers · 2.0k total citations
13 papers, 1.3k citations indexed

About

Benjamin D. Liengaard is a scholar working on Organizational Behavior and Human Resource Management, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Benjamin D. Liengaard has authored 13 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organizational Behavior and Human Resource Management, 3 papers in Management Science and Operations Research and 3 papers in Economics and Econometrics. Recurrent topics in Benjamin D. Liengaard's work include Customer Service Quality and Loyalty (5 papers), Market Dynamics and Volatility (2 papers) and Technology Adoption and User Behaviour (2 papers). Benjamin D. Liengaard is often cited by papers focused on Customer Service Quality and Loyalty (5 papers), Market Dynamics and Volatility (2 papers) and Technology Adoption and User Behaviour (2 papers). Benjamin D. Liengaard collaborates with scholars based in Denmark, Germany and United States. Benjamin D. Liengaard's co-authors include Christian M. Ringle, Marko Sarstedt, Joseph F. Hair, Pratyush Nidhi Sharma, Lăcrămioara Radomir, G. Tomas M. Hult, Morten Berg Jensen, Joe F. Hair, Adamantios Diamantopoulos and Gyeongcheol Cho and has published in prestigious journals such as Journal of Business Research, Journal of the Academy of Marketing Science and Journal of Product Innovation Management.

In The Last Decade

Benjamin D. Liengaard

13 papers receiving 1.2k citations

Hit Papers

Progress in partial least... 2020 2026 2022 2024 2022 2022 2020 2024 2024 100 200 300 400 500
What are hit papers?

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Progress in partial least squares structural equation modeling use in marketing research in the last decade
    2022 591 citations Marko Sarstedt, Joseph F. Hair et al. Psychology and Marketing profile →
  2. Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT
    2022 241 citations Pratyush Nidhi Sharma, Benjamin D. Liengaard et al. European Journal of Marketing profile →
  3. Prediction: Coveted, Yet Forsaken? Introducing a Cross‐Validated Predictive Ability Test in Partial Least Squares Path Modeling
    2020 222 citations Benjamin D. Liengaard, Pratyush Nidhi Sharma et al. Decision Sciences profile →
  4. Going beyond the untold facts in PLS–SEM and moving forward
    2024 49 citations Joe F. Hair, Marko Sarstedt et al. European Journal of Marketing profile →
  5. Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling
    2024 38 citations Marko Sarstedt, Christian M. Ringle et al. Journal of Product Innovation Management profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Benjamin D. Liengaard 392 379 280 259 244 13 1.3k
Suneel Babu Chatla 319 0.8× 315 0.8× 242 0.9× 216 0.8× 241 1.0× 10 1.1k
Donna Smith 417 1.1× 467 1.2× 273 1.0× 361 1.4× 463 1.9× 11 1.7k
Marcelo Luiz Dias da Silva Gabriel 369 0.9× 400 1.1× 345 1.2× 326 1.3× 241 1.0× 29 1.5k
Ken Kwong-Kay Wong 522 1.3× 497 1.3× 387 1.4× 335 1.3× 368 1.5× 9 1.8k
I‐Chieh Hsu 291 0.7× 216 0.6× 245 0.9× 518 2.0× 357 1.5× 20 1.3k
Irina V. Kozlenkova 550 1.4× 490 1.3× 204 0.7× 172 0.7× 242 1.0× 12 1.1k
Pratyush Nidhi Sharma 436 1.1× 505 1.3× 406 1.4× 333 1.3× 440 1.8× 28 1.8k
Zeeshan Ahmed Bhatti 429 1.1× 295 0.8× 284 1.0× 266 1.0× 350 1.4× 33 1.4k
Jie Mein Goh 379 1.0× 313 0.8× 185 0.7× 316 1.2× 231 0.9× 14 1.2k
Guru Prabhakar 489 1.2× 321 0.8× 224 0.8× 178 0.7× 255 1.0× 40 1.2k

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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