2026 Henk A. L. Kiers: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	57	692	587	3	2	215	12781

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

692

587

215

12781

Research.com Recognitions

2026 - Research.com Mathematics in Netherlands Leader Award
2025 - Research.com Mathematics in Netherlands Leader Award
2023 - Research.com Mathematics in Netherlands Leader Award
2022 - Research.com Mathematics in Netherlands Leader Award

Overview

Henk A. L. Kiers is affiliated with the University of Groningen in the Netherlands. Their research spans multiple fields, primarily focusing on mathematics and computer science. Within these disciplines, Kiers has concentrated on areas such as statistics and probability, including the overlapping domain of statistics, probability, and uncertainty. Their work also extends into artificial intelligence, management science and operations research, as well as sociology and political science.

Their scholarly contributions address a variety of specialized topics. These include meta-analysis and systematic reviews, statistical methods in clinical trials, statistical methods and Bayesian inference, advanced statistical methods and models, scientometrics and bibliometrics research, behavioral health and interventions, and sensory analysis and statistical methods.

Kiers has been published frequently in several academic venues. Notable publication venues with multiple contributions include:

University of Groningen research database (University of Groningen / Centre for Information Technology)
Psychological Methods
Royal Society Open Science
Advances in Methods and Practices in Psychological Science
PLoS ONE

Their recent papers reflect engagement with reliability, Bayesian methods, preregistration in research, and applying appropriate statistical tools in psychology. Among the recent works are:

"A Comparison of Reliability Coefficients for Ordinal Rating Scales" (2021, Journal of Classification)
"A review of applications of the Bayes factor in psychological research." (2022, Psychological Methods)
"The effect of preregistration on trust in empirical research findings: results of a registered report" (2020, Royal Society Open Science)
"Diagnosing the Misuse of the Bayes Factor in Applied Research" (2024, Advances in Methods and Practices in Psychological Science)
"On the Potential Mismatch Between the Function of the Bayes Factor and Researchers' Expectations" (2022, Collabra Psychology)

Kiers frequently collaborates with other researchers. Their frequent coauthors include:

Don van Ravenzwaaij
Rink Hoekstra
Jorge N. Tendeiro
Jasmine Muradchanian
Tsz Keung Wong

Best Publications

A new efficient method for determining the number of components in PARAFAC models

Rasmus Bro;Henk A. L. Kiers

1478
Citations
Towards a standardized notation and terminology in multiway analysis

Henk A. L. Kiers

930
Citations
The Hull Method for Selecting the Number of Common Factors

Urbano Lorenzo-Seva;Marieke E. Timmerman;Henk A.L. Kiers

748
Citations
Five (or three) robust questionnaire scale factors of personality without culture

Marvin Zuckerman;D. Michael Kuhlman;Mary Thornquist;Henk Kiers

512
Citations
PARAFAC2 : PART I. A DIRECT FITTING ALGORITHM FOR THE PARAFAC2 MODEL

Henk A. L. Kiers;Jos M. F. ten Berge;Rasmus Bro

492
Citations
Cross-validation of component models: A critical look at current methods

R. Bro;K. Kjeldahl;A. K. Smilde;H. A. L. Kiers

398
Citations
PARAFAC2 - Part II. Modeling chromatographic data with retention time shifts

Rasmus Bro;Claus A. Andersson;Henk A. L. Kiers

384
Citations
Matrix correlations for high-dimensional data

A. K. Smilde;H. A. L. Kiers;S. Bijlsma;C. M. Rubingh

254
Citations
Weighted least squares fitting using ordinary least squares algorithms

Henk A.L. Kiers

247
Citations
Selecting among three-mode principal component models of different types and complexities: a numerical convex hull based method.

Eva. Ceulemans;Henk A. L. Kiers

240
Citations
Factorial k-means analysis for two-way data

Maurizio Vichi;Henk A. L. Kiers

233
Citations
Why Factor Analysis Often is the Incorrect Model for Analyzing Bipolar Concepts, and What Model to Use Instead

Wyijbrandt H. van Schuur;Henk A.L. Kiers

212
Citations
Three-mode principal components analysis: choosing the numbers of components and sensitivity to local optima.

Marieke E. Timmerman;Henk A. L. Kiers

211
Citations
A numerical approach to the approximate and the exact minimum rank of a covariance matrix

Jos M.F. ten Berge;Henk A.L. Kiers

201
Citations
Are assumptions of well-known statistical techniques checked, and why (not)?

Rink Hoekstra;Henk A.L. Kiers;Addie Johnson

192
Citations
Three-way component analysis: principles and illustrative application.

Henk A. L. Kiers;Iven Van Mechelen

190
Citations
Hierarchical relations among three-way methods

Henk A.L. Kiers

186
Citations
Principal covariates regression: Part I. Theory

Sijmen de Jong;Henk A.L. Kiers

169
Citations
The fuzzy approach to statistical analysis

Renato Coppi;Maria A. Gil;Henk A. L. Kiers

162
Citations
Simple structure in component analysis techniques for mixtures of qualitative and quantitative variables

Henk A. L. Kiers

160
Citations

Frequent Co-Authors

Jos M. F. ten Berge University of Groningen

Age K. Smilde University of Amsterdam

Yoshio Takane University of Victoria

Rasmus Bro University of Copenhagen

Lodewyk F. A. Wessels Antoni van Leeuwenhoek Hospital

Johan A. Westerhuis University of Amsterdam

Jan de Leeuw University of California, Los Angeles

Michael Siegrist ETH Zurich

Linda Steg University of Groningen

Roel Bosker University of Groningen

External Links

Personal website of Henk A. L. Kiers

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can open diverse career opportunities. Many graduates transition into business and finance roles where analytical skills are highly valued. For instance, pursuing an easy online mba program offers a flexible way to gain managerial expertise without disrupting a math-focused career path.

Those interested in advanced leadership roles may consider an cheapest aacsb online dba program. This degree emphasizes data-driven decision-making, complementing a strong mathematics background with strategic business insight.

Alternatively, students aiming for finance-centric roles can benefit from a cheapest masters in finance program. This pathway deepens quantitative analysis skills critical to financial modeling, risk assessment, and investment strategy.

For professionals eager to quickly enhance their credentials, accelerated mba programs online provide an efficient route to leadership roles, combining rigorous coursework with the convenience of remote study. These related degrees complement a Mathematics foundation and broaden career prospects significantly.