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Francis Tuerlinckx

Francis Tuerlinckx

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Social Sciences and Humanities
Belgium
2026

D-Index & Metrics

Social Sciences and Humanities

D-Index
63
Citations
26565
World Ranking
1144
National Ranking
10

Francis Tuerlinckx 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 Francis Tuerlinckx 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: 301 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: 201 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Francis Tuerlinckx 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 Francis Tuerlinckx 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: 260 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: 63 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Social Sciences and Humanities in Belgium Leader Award
  • 2025 - Research.com Social Sciences and Humanities in Belgium Leader Award

Overview

Francis Tuerlinckx is affiliated with KU Leuven in Belgium and has made contributions primarily within the field of psychology, with a significant focus on experimental and cognitive psychology. Their work also extends into cognitive neuroscience, applied psychology, artificial intelligence, and statistical methodologies related to probability and uncertainty.

The scientist's research topics span several domains, including mental health research, sensory analysis and statistical methods, behavioral health and interventions, functional brain connectivity, stress responses, and meta-analysis and systematic reviews. Digital mental health interventions are also a notable area within their body of work.

Frequent publication venues for this researcher include:

  • Behavior Research Methods
  • Psychological Methods
  • Psychological Assessment
  • Royal Society Open Science
  • Emotion

They have collaborated regularly with a group of coauthors, among whom Wolf Vanpaemel has the highest count of collaborations, followed by Tim Loossens, Niels Vanhasbroeck, Eva Ceulemans, and Stijn Verdonck.

Examples of their recent papers are:

  • "Comparing dream to reality: an assessment of adherence of the first generation of preregistered studies" (2021), published in Royal Society Open Science
  • "m-Path: an easy-to-use and highly tailorable platform for ecological momentary assessment and intervention in behavioral research and clinical practice" (2023), published in Frontiers in Digital Health
  • "Assessing the reliability of single-item momentary affective measurements in experience sampling." (2022), published in Psychological Assessment
  • "The reproducibility of statistical results in psychological research: An investigation using unpublished raw data." (2020), published in Psychological Methods
  • "On the relationship between valence and arousal in samples across the globe." (2022), published in Emotion

Their work emphasizes methodological rigor and the evaluation of psychological phenomena through various empirical and analytical techniques. Several papers focus on experience sampling methods, preregistration adherence in studies, and the reliability and reproducibility of psychological research findings.

Their scientific output shows a blend of foundational psychological research and the integration of digital tools and statistical approaches to advance the assessment and understanding of behavior and mental health.

Best Publications

  • Estimating the reproducibility of psychological science

    Alexander A. Aarts;Joanna E. Anderson;Christopher J. Anderson;Peter R. Attridge;Peter R. Attridge

  • Increasing Transparency Through a Multiverse Analysis

    Sara Steegen;Francis Tuerlinckx;Andrew Gelman;Wolf Vanpaemel

  • Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability

    Roger Ratcliff;Francis Tuerlinckx

  • Critical slowing down as early warning for the onset and termination of depression.

    Ingrid A. van de Leemput;Marieke Wichers;Angélique O. J. Cramer;Denny Borsboom

  • What are 'good' depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis

    Eiko I. Fried;Sacha Epskamp;Randolph M. Nesse;Francis Tuerlinckx

  • A network approach to psychopathology: New insights into clinical longitudinal data

    Laura F. Bringmann;Nathalie Vissers;Marieke Wichers;Nicole Geschwind

  • Feelings change: accounting for individual differences in the temporal dynamics of affect.

    Peter Kuppens;Zita Oravecz;Francis Tuerlinckx

  • The relation between valence and arousal in subjective experience.

    Peter Kuppens;Francis Tuerlinckx;James A. Russell;Lisa Feldman Barrett

  • Complex affect dynamics add limited information to the prediction of psychological well-being

    Egon Dejonckheere;Merijn Mestdagh;Marlies Houben;Isa Rutten

  • Revealing the dynamic network structure of the Beck Depression Inventory-II

    Laura Bringmann;Lotte H Lemmens;Marcus Huibers;Denny Borsboom

  • Hierarchical diffusion models for two-choice response times.

    Joachim Vandekerckhove;Francis Tuerlinckx;Michael D. Lee

  • The estimation of item response models with the lmer function from the lme4 package in R

    Paul De Boeck;Marjan Bakker;Robert Zwitser;Michel Nivard

  • From loss to loneliness: The relationship between bereavement and depressive symptoms.

    Eiko I. Fried;Claudi Bockting;Retha Arjadi;Denny Borsboom

  • A general framework and an R package for the detection of dichotomous differential item functioning.

    David Magis;Sébastien Béland;Francis Tuerlinckx;Paul De Boeck

  • A nonlinear mixed model framework for item response theory.

    Frank Rijmen;Francis Tuerlinckx;Paul De Boeck;Peter Kuppens

  • Measuring Depression Over Time ... or not? Lack of Unidimensionality and Longitudinal Measurement Invariance in Four Common Rating Scales of Depression

    Eiko I. Fried;Claudia D. van Borkulo;Sacha Epskamp;Robert A. Schoevers

  • Emotion-Network Density in Major Depressive Disorder

    Madeline Lee Pe;Katharina Kircanski;Renee J. Thompson;Laura F. Bringmann

  • Predicting the Duration of Emotional Experience: Two Experience Sampling Studies

    Philippe Verduyn;Ellen Delvaux;Hermina Van Coillie;Francis Tuerlinckx

  • Fitting the Ratcliff diffusion model to experimental data.

    Joachim Vandekerckhove;Francis Tuerlinckx

  • Diffusion model analysis with MATLAB: a DMAT primer.

    Joachim Vandekerckhove;Francis Tuerlinckx

Frequent Co-Authors

Peter Kuppens
Peter Kuppens KU Leuven
Paul De Boeck
Paul De Boeck The Ohio State University
Eva Ceulemans
Eva Ceulemans KU Leuven
Denny Borsboom
Denny Borsboom University of Amsterdam
Philippe Verduyn
Philippe Verduyn Maastricht University
Nicholas B. Allen
Nicholas B. Allen University of Oregon
Lisa Sheeber
Lisa Sheeber Oregon Research Institute
Laura F. Bringmann
Laura F. Bringmann University of Groningen
Eric-Jan Wagenmakers
Eric-Jan Wagenmakers University of Amsterdam
Eiko I. Fried
Eiko I. Fried Leiden University

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