Theo K. Dijkstra

9.2k total citations · 3 hit papers
39 papers, 6.8k citations indexed

About

Theo K. Dijkstra is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Theo K. Dijkstra has authored 39 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 9 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in Theo K. Dijkstra's work include Advanced Statistical Methods and Models (8 papers), Multi-Criteria Decision Making (5 papers) and Statistical Methods and Inference (5 papers). Theo K. Dijkstra is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Multi-Criteria Decision Making (5 papers) and Statistical Methods and Inference (5 papers). Theo K. Dijkstra collaborates with scholars based in Netherlands, Germany and Portugal. Theo K. Dijkstra's co-authors include Jörg Henseler, Adamantios Diamantopoulos, Christian M. Ringle, Detmar W. Straub, Marko Sarstedt, Joseph F. Hair, David J. Ketchen, G. Tomas M. Hult, Roger J. Calantone and Florian Schuberth and has published in prestigious journals such as Econometrica, Technometrics and MIS Quarterly.

In The Last Decade

Theo K. Dijkstra

38 papers receiving 6.5k citations

Hit Papers

align trajectories

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 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.

Common Beliefs and Reality About PLS

2014 2.5k citations Jörg Henseler, Theo K. Dijkstra et al. Organizational Research Methods profile →
Consistent Partial Least Squares Path Modeling1

2015 1.9k citations Theo K. Dijkstra, Jörg Henseler profile →
Consistent and asymptotically normal PLS estimators for linear structural equations

2014 870 citations Theo K. Dijkstra, Jörg Henseler profile →

Peers

Theo K. Dijkstra

SPS

MARKE

OBHRM

SM

ISM

Geoffrey S. Hubona United States

Jan-Michael Becker Germany

Jeannette A. Mena United States

Michel Tenenhaus France

Christian Nitzl Germany

Soumya Ray Taiwan

Vincenzo Esposito Vinzi France

José L. Roldán Spain

Gabriel Cepeda‐Carrión Spain

George R. Franke United States

Geoffrey S. Hubona United States

Theo K. Dijkstra

2.4k ×1.3

SPS

1.7k ×1.0

MARKE

1.3k ×0.9

OBHRM

1.2k ×0.9

SM

2.2k ×1.6

ISM

Citations per year, relative to Theo K. Dijkstra Theo K. Dijkstra (= 1×) peers Geoffrey S. Hubona

Countries citing papers authored by Theo K. Dijkstra

Since Specialization

Citations

This map shows the geographic impact of Theo K. Dijkstra'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 Theo K. Dijkstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theo K. Dijkstra more than expected).

Fields of papers citing papers by Theo K. Dijkstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theo K. Dijkstra. 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 Theo K. Dijkstra. The network helps show where Theo K. Dijkstra may publish in the future.

Co-authorship network of co-authors of Theo K. Dijkstra

This figure shows the co-authorship network connecting the top 25 collaborators of Theo K. Dijkstra. A scholar is included among the top collaborators of Theo K. Dijkstra 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 Theo K. Dijkstra. Theo K. Dijkstra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Schuberth, Florian, et al.. (2019). Robust partial least squares path modeling. Behaviormetrika. 47(1). 307–334. 33 indexed citations

2.

Rademaker, Manuel E., Florian Schuberth, & Theo K. Dijkstra. (2019). Measurement error correlation within blocks of indicators in consistent partial least squares. Internet Research. 29(3). 448–463. 19 indexed citations

3.

Schuberth, Florian, Jörg Henseler, & Theo K. Dijkstra. (2018). Confirmatory Composite Analysis. Frontiers in Psychology. 9. 2541–2541. 138 indexed citations

4.

Schuberth, Florian, Jörg Henseler, & Theo K. Dijkstra. (2016). Partial least squares path modeling using ordinal categorical indicators. Quality & Quantity. 52(1). 9–35. 112 indexed citations

5.

Henseler, Jörg, Theo K. Dijkstra, Marko Sarstedt, et al.. (2014). Common Beliefs and Reality About PLS. Organizational Research Methods. 17(2). 182–209. 2504 indexed citations breakdown →

6.

Dijkstra, Theo K. & Karin Schermelleh-Engel. (2013). Consistent Partial Least Squares for Nonlinear Structural Equation Models. Psychometrika. 79(4). 585–604. 90 indexed citations

7.

Dijkstra, Theo K.. (2013). Ridge regression and its degrees of freedom. Quality & Quantity. 48(6). 3185–3193. 19 indexed citations

8.

Henseler, Jörg, Georg Fassott, Theo K. Dijkstra, & Bradley Wilson. (2011). Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling. European Journal of Information Systems. 21(1). 99–112. 85 indexed citations

9.

Dijkstra, Theo K. & Jörg Henseler. (2011). Linear indices in nonlinear structural equation models: best fitting proper indices and other composites. Quality & Quantity. 45(6). 1505–1518. 64 indexed citations

10.

Dijkstra, Theo K.. (2009). Child Well-Being in Rich Countries: UNICEF’s Ranking Revisited, and New Symmetric Aggregating Operators Exemplified. Child Indicators Research. 2(3). 303–317. 30 indexed citations

11.

Dijkstra, Theo K.. (2009). PLS '09: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PARTIAL LEAST SQUARES AND RELATED METHODS. 1 indexed citations

12.

Dijkstra, Theo K.. (2008). Handbook of partial least squares. Concepts, methods and applications in marketing and related fields. Springer US. 171 indexed citations

13.

Krijnen, Wim P., Theo K. Dijkstra, & Alwin Stegeman. (2008). On the Non-Existence of Optimal Solutions and the Occurrence of “Degeneracy” in the CANDECOMP/PARAFAC Model. Psychometrika. 73(3). 431–439. 71 indexed citations

14.

Dijkstra, Theo K. & Yong Yao. (2002). Moment generating function approach to pricing interest rate and foreign exchange rate claims. Insurance Mathematics and Economics. 31(2). 163–178. 10 indexed citations

15.

Dijkstra, Theo K.. (1995). Pyrrho's lemma, or have it your way. Metrika. 42(1). 119–125. 5 indexed citations

16.

Dijkstra, Theo K.. (1992). On statistical inference with parameter estimates on the boundary of the parameter space. British Journal of Mathematical and Statistical Psychology. 45(2). 289–309. 24 indexed citations

17.

Dijkstra, Theo K.. (1990). Some Properties of Estimated Scale Invariant Covariance Structures. Psychometrika. 55(2). 327–336. 5 indexed citations

18.

Dijkstra, Theo K., et al.. (1990). On the Nature and Number of the Constraints on the Reduced Form as Implied by the Structural Form. Econometrica. 58(2). 507–507. 2 indexed citations

19.

Dijkstra, Theo K.. (1988). On model uncertainty and its statistical implications : proceedings of a workshop held in Groningen, the Netherlands, September 25-26, 1986. Springer eBooks. 4 indexed citations

20.

Dijkstra, Theo K., et al.. (1985). Least-Squares Theory Based on General Distributional Assumptions with an Application to the Incomplete Observations Problem. Psychometrika. 50(1). 25–36. 24 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.

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