World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
39
Citations
20275
World Ranking
8357
National Ranking
374

Computer Science

D-Index
33
Citations
15262
World Ranking
12345
National Ranking
236

Lourens J. Waldorp publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Lourens J. Waldorp sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 118 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Lourens J. Waldorp D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Lourens J. Waldorp sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 39 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

Lourens J. Waldorp is affiliated with the University of Amsterdam in the Netherlands. Their research primarily focuses on psychology, with a significant number of publications in experimental and cognitive psychology.

Their work spans several subfields, including:

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Statistical and Nonlinear Physics
  • Molecular Biology
  • Clinical Psychology

The main topics covered in their research include:

  • Mental Health Research Topics
  • Functional Brain Connectivity Studies
  • Complex Network Analysis Techniques
  • Complex Systems and Time Series Analysis
  • Time Series Analysis and Forecasting
  • Opinion Dynamics and Social Influence
  • Bioinformatics and Genomic Networks

Lourens J. Waldorp has contributed to several recent publications. Notable papers include:

  • "Comparing network structures on three aspects: A permutation test." (2022) published in Psychological Methods
  • "Network analysis of multivariate data in psychological science" (2021) published in Nature Reviews Methods Primers
  • "<b>mgm</b>: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data" (2020) published in Journal of Statistical Software
  • "Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction" (2021) published in Perspectives on Psychological Science
  • "Modeling psychopathology: From data models to formal theories." (2021) published in Psychological Methods

Their frequent co-authors include:

  • Denny Borsboom
  • Jonas M B Haslbeck
  • Han L. J. van der Maas
  • Maarten Marsman
  • Mandani Ntekouli

Lourens J. Waldorp publishes regularly in several academic venues. The most frequent publication outlets are:

  • arXiv (Cornell University)
  • Multivariate Behavioral Research
  • Psychological Methods
  • Psychometrika
  • Nature Reviews Methods Primers

Best Publications

  • Qgraph: Network visualizations of relationships in psychometric data

    Sacha Epskamp;Angélique O.J. Cramer;Lourens J. Waldorp;Verena D. Schmittmann

  • Comorbidity: a network perspective.

    Angelique O. J. Cramer;Lourens J. Waldorp;Han L. J. van der Maas;Denny Borsboom

  • Comparing network structures on three aspects: A permutation test.

    Unknown

  • The Gaussian Graphical Model in Cross-Sectional and Time-Series Data.

    Sacha Epskamp;Lourens J. Waldorp;René Mõttus;Denny Borsboom

  • Network analysis of multivariate data in psychological science

    Denny Borsboom;Marie K. Deserno;Mijke Rhemtulla;Sacha Epskamp

  • State of the aRt personality research: A tutorial on network analysis of personality data in R

    Giulio Costantini;Sacha Epskamp;Denny Borsboom;Marco Perugini

  • Association of Symptom Network Structure With the Course of Depression

    Claudia van Borkulo;Claudia van Borkulo;Lynn Boschloo;Denny Borsboom;Brenda W. J. H. Penninx

  • Deconstructing the construct: A network perspective on psychological phenomena

    Verena D. Schmittmann;Angélique O.J. Cramer;Lourens J. Waldorp;Sacha Epskamp

  • A new method for constructing networks from binary data

    Claudia D van Borkulo;Denny Borsboom;Sacha Epskamp;Tessa F Blanken

  • The small world of psychopathology.

    Denny Borsboom;Angélique O. J. Cramer;Verena D. Schmittmann;Sacha Epskamp

  • mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data

    Jonas M. B. Haslbeck;Lourens J. Waldorp

  • Simpson's paradox in psychological science: a practical guide

    Rogier Kievit;Willem Eduard Frankenhuis;Lourens Waldorp;Denny Borsboom

  • Comparing network structures on three aspects: A permutation test

    Claudia Van Borkulo;Lynn Boschloo;Jolanda Kossakowski;Pia Tio

  • How well do network models predict observations? On the importance of predictability in network models.

    Jonas M. B. Haslbeck;Lourens J. Waldorp

  • Hidden multiplicity in exploratory multiway ANOVA: Prevalence and remedies.

    Angélique O. J. Cramer;Don van Ravenzwaaij;Dora Matzke;Helen Steingroever

  • Effective Connectivity Reveals Important Roles for Both the Hyperdirect (Fronto-Subthalamic) and the Indirect (Fronto-Striatal-Pallidal) Fronto-Basal Ganglia Pathways during Response Inhibition

    S. Jahfari;L. Waldorp;W.P.M. van den Wildenberg;H.S. Scholte

  • An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models.

    M. Marsman;D. Borsboom;J. Kruis;S. Epskamp

  • False alarm? A comprehensive reanalysis of "Evidence that psychopathology symptom networks have limited replicability" by Forbes, Wright, Markon, and Krueger (2017).

    Denny Borsboom;Eiko I. Fried;Sacha Epskamp;Lourens J. Waldorp

  • Network Psychometrics

    Sacha Epskamp;Gunter K. J. Maris;Lourens J. Waldorp;Denny Borsboom

  • Fast and accurate modelling of longitudinal and repeated measures neuroimaging data

    Bryan Guillaume;Xue Hua;Paul M. Thompson;Lourens J. Waldorp

  • A Tutorial on Estimating Time-Varying Vector Autoregressive Models.

    Jonas M B Haslbeck;Laura F Bringmann;Lourens J Waldorp

  • Brain responses strongly correlate with Weibull image statistics when processing natural images

    H.S. Scholte;S. Ghebreab;L. Waldorp;Arnold Smeulders

  • Modeling Psychopathology: From Data Models to Formal Theories

    Jonas M. B. Haslbeck;Oisín Ryan;Donald J. Robinaugh;Lourens J. Waldorp

  • Spatiotemporal EEG/MEG source analysis based on a parametric noise covariance model

    H.M. Huizenga;J.C. de Munck;L.J. Waldorp;R.P.P.P. Grasman

  • Latent Variable Models and Networks: Statistical Equivalence and Testability.

    Riet van Bork;Mijke Rhemtulla;Lourens J. Waldorp;Joost Kruis

  • Mind the Gap: A Psychometric Approach to the Reduction Problem

    Rogier A. Kievit;Jan-Willem Romeijn;Lourens J. Waldorp;Jelte M. Wicherts

  • Moderated Network Models.

    Jonas M B Haslbeck;Denny Borsboom;Lourens J Waldorp

  • Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder

    Robinaugh D;Haslbeck Jmb;Waldorp L;Kossakowski Jj

  • The Sensory Consequences of Speaking : Parametric Neural Cancellation during Speech in Auditory Cortex.

    Ingrid K. Christoffels;Vincent van de Ven;Lourens J. Waldorp;Elia Formisano

Frequent Co-Authors

Denny Borsboom
Denny Borsboom University of Amsterdam
Hilde M. Huizenga
Hilde M. Huizenga University of Amsterdam
Sacha Epskamp
Sacha Epskamp National University of Singapore
Angélique O. J. Cramer
Angélique O. J. Cramer University of Amsterdam
Rogier A. Kievit
Rogier A. Kievit Donders Institute
Peter C. M. Molenaar
Peter C. M. Molenaar Pennsylvania State University
Han L. J. van der Maas
Han L. J. van der Maas University of Amsterdam
H. Steven Scholte
H. Steven Scholte University of Amsterdam
Eiko I. Fried
Eiko I. Fried Leiden University

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