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D-Index & Metrics

Social Sciences and Humanities

D-Index
65
Citations
97477
World Ranking
997
National Ranking
44

Jörg Henseler publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Jörg Henseler sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 302 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 215 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Jörg Henseler D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Jörg Henseler sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 261 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 65 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Overview

Jörg Henseler is affiliated with the University of Twente in the Netherlands and has made significant contributions primarily in the field of Business, Management, and Accounting. Their research covers several subfields including Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science, Management Science and Operations Research, and Information Systems and Management.

Henseler's work addresses multiple topics, with notable focus on Consumer Behavior in Brand Consumption and Identification, Customer Service Quality and Loyalty, Technology Adoption and User Behaviour, Digital Marketing and Social Media, Consumer Retail Behavior Studies, Service and Product Innovation, and Psychometric Methodologies and Testing.

Some of the recent papers authored or co-authored by Henseler include:

  • Using confirmatory composite analysis to assess emergent variables in business research (2020), Journal of Business Research
  • HTMT2-an improved criterion for assessing discriminant validity in structural equation modeling (2021), Industrial Management & Data Systems
  • Assessing the overall fit of composite models estimated by partial least squares path modeling (2022), European Journal of Marketing
  • A clarification of confirmatory composite analysis (CCA) (2021), International Journal of Information Management
  • Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites (2020), Industrial Management & Data Systems

Frequent co-authors working with Henseler include Florian Schuberth, Susanne Hensel-Börner, Tamara Schamberger, Ellen Roemer, and Jan Philipp Graesch.

Their research has been published in several venues repeatedly, particularly in Frontiers in Psychology, Journal of Brand Management, Industrial Management & Data Systems, Journal of Business Research, and European Journal of Marketing.

In addition to journal articles, Henseler has contributed to book publications, including a title published by the Royal Netherlands Academy of Arts and Sciences called Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables (2020).

Best Publications

  • A new criterion for assessing discriminant validity in variance-based structural equation modeling

    Joerg Henseler;Christian M. Ringle;Marko Sarstedt;Marko Sarstedt

  • The use of partial least squares path modeling in international marketing

    Jörg Henseler;Christian M. Ringle;Rudolf R. Sinkovics

  • Using PLS path modeling in new technology research: updated guidelines

    Jörg Henseler;Geoffrey S. Hubona;Pauline Ash Ray

  • An empirical comparison of the efficacy of covariance-based and variance-based SEM

    Werner Reinartz;Werner Reinartz;Michael Haenlein;Jörg Henseler

  • Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)

    Joerg Henseler;Joerg Henseler;Theo K. Dijkstra;Marko Sarstedt;Marko Sarstedt;Christian M. Ringle;Christian M. Ringle

  • Consistent partial least squares path modeling

    Theo K. Dijkstra;Jörg Henseler

  • Testing measurement invariance of composites using partial least squares

    Jörg Henseler;Christian M. Ringle;Marko Sarstedt

  • Handbook of Partial Least Squares

    Vincenzo Esposito Vinzi;Wynne W Chin;Jörg Henseler;Huiwen Wang

  • Goodness-of-fit indices for partial least squares path modeling

    Jörg Henseler;Marko Sarstedt

  • How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research

    Jose Benitez;Jose Benitez;Jörg Henseler;Jörg Henseler;Ana Castillo;Florian Schuberth

  • Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results

    Marko Sarstedt;Jörg Henseler;Christian M. Ringle

  • A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling

    Jörg Henseler;Wynne W. Chin

  • Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures

    Jörg Henseler;Georg Fassott;Vincenzo Esposito Vinzi;Wynne W. Chin

  • Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures

    Jörg Henseler;Georg Fassott

  • Consistent and asymptotically normal PLS estimators for linear structural equations

    Theo K. Dijkstra;Jörg Henseler

  • Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling

    Jörg Henseler

  • On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)

    Marko Sarstedt;Christian M. Ringle;Jörg Henseler;Joseph F. Hair

  • Using Partial Least Squares Path Modeling in Advertising Research: Basic Concepts and Recent Issues

    Jörg Henseler;Christian M. Ringle;Marko Sarstedt

  • Creating customer loyalty through service customization

    Pedro S. Coelho;Jörg Henseler

  • On the convergence of the partial least squares path modeling algorithm

    Jörg Henseler

Frequent Co-Authors

Wynne W. Chin
Wynne W. Chin University of Houston
José L. Roldán
José L. Roldán University of Seville
Johannes G. Ramaekers
Johannes G. Ramaekers Maastricht University

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