World's Best Scientists 2026 revealed!
Tihomir Asparouhov

Tihomir Asparouhov

D-Index & Metrics

Mathematics

D-Index
39
Citations
31630
World Ranking
2110
National Ranking
143

Tihomir Asparouhov publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Tihomir Asparouhov sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 52 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Tihomir Asparouhov D-index placement in Mathematics in 2026

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

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Tihomir Asparouhov is affiliated with Mplus in the United Kingdom. Their research primarily focuses on advancing psychometric methodologies, statistical methods, and Bayesian inference, with applications spanning mental health research topics and behavioral health interventions.

Their recent publications include studies published in prominent journals:

  • Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives, 2022, Social Science Research
  • Advances in Bayesian Model Fit Evaluation for Structural Equation Models, 2020, Structural Equation Modeling A Multidisciplinary Journal
  • Bayesian estimation of single and multilevel models with latent variable interactions, 2020, Structural Equation Modeling A Multidisciplinary Journal
  • Latent transition analysis with random intercepts (RI-LTA), 2020, Psychological Methods
  • Residual Structural Equation Models, 2022, Structural Equation Modeling A Multidisciplinary Journal

They have collaborated frequently with several researchers, notably:

  • Bengt Muthén
  • Heinz Leitgöb
  • Daniel Seddig
  • Dorothée Behr

Tihomir Asparouhov's publications appear predominantly in the following venues:

  • Structural Equation Modeling A Multidisciplinary Journal
  • Psychological Methods
  • Social Science Research
  • Psych
  • The SAGE Encyclopedia of Research Design

Their research spans multiple subfields, including:

  • Statistics and Probability
  • Management Science and Operations Research
  • Experimental and Cognitive Psychology
  • Transportation
  • Applied Psychology

Key topics covered in their work include:

  • Psychometric Methodologies and Testing
  • Statistical Methods and Bayesian Inference
  • Mental Health Research Topics
  • Statistical Methods and Inference
  • Behavioral Health and Interventions
  • Social and Intergroup Psychology
  • Multi-Criteria Decision Making

Best Publications

  • Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study

    Karen L. Nylund;Tihomir Asparouhov;Bengt O. Muthén

  • Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus

    Tihomir Asparouhov;Bengt Muthén

  • Exploratory Structural Equation Modeling.

    Tihomir Asparouhov;Bengt Muthen

  • Bayesian structural equation modeling: A more flexible representation of substantive theory.

    Bengt Muthén;Tihomir Asparouhov

  • Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching

    Herbert Warren Marsh;Bengt Muthen;Tihomir Asparouhov;Oliver Ludtke

  • A new look at the big five factor structure through exploratory structural equation modeling.

    Herbert W. Marsh;Oliver Lüdtke;Bengt Muthén;Tihomir Asparouhov

  • The Multilevel Latent Covariate Model: A New, More Reliable Approach to Group-Level Effects in Contextual Studies.

    Oliver Ludtke;Herbert Warren Marsh;Alexander Robitzsch;Ulrich Trautwein

  • Dynamic structural equation models

    Tihomir Asparouhov;Ellen L. Hamaker;Bengt Muthén

  • Multiple-Group Factor Analysis Alignment

    Tihomir Asparouhov;Bengt Muthén

  • Sampling Weights in Latent Variable Modeling

    Tihomir Asparouhov

  • Doubly-Latent Models of School Contextual Effects: Integrating Multilevel and Structural Equation Approaches to Control Measurement and Sampling Error.

    Herbert Warren Marsh;Oliver Ludtke;Alexander Robitzsch;Ulrich Trautwein

  • At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study.

    Ellen L. Hamaker;Tihomir Asparouhov;Annette Brose;Florian Schmiedek

  • Bayesian Structural Equation Modeling With Cross-Loadings and Residual Covariances Comments on Stromeyer et al.

    Tihomir Asparouhov;Bengt Muthén;Alexandre J. S. Morin

  • General Multi-Level Modeling with Sampling Weights

    Tihomir Asparouhov

  • Causal Effects in Mediation Modeling: An Introduction With Applications to Latent Variables

    Bengt Muthén;Tihomir Asparouhov

  • What to do when scalar invariance fails: The extended alignment method for multi-group factor analysis comparison of latent means across many groups.

    Herbert W. Marsh;Jiesi Guo;Philip D. Parker;Benjamin Nagengast

  • IRT studies of many groups: the alignment method.

    Bengt Muthén;Tihomir Asparouhov

  • Latent Variable Centering of Predictors and Mediators in Multilevel and Time-Series Models

    Tihomir Asparouhov;Bengt Muthén

  • Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial.

    Bengt Muthén;Tihomir Asparouhov;Aimee M. Hunter;Andrew F. Leuchter

  • Beyond multilevel regression modeling: Multilevel analysis in a general latent variable framework.

    Bengt Muthén;Tihomir Asparouhov

  • Item response mixture modeling: application to tobacco dependence criteria.

    Bengt Muthen;Tihomir Asparouhov

Frequent Co-Authors

Herbert W. Marsh
Herbert W. Marsh Australian Catholic University
Ulrich Trautwein
Ulrich Trautwein University of Tübingen
Oliver Lüdtke
Oliver Lüdtke Leibniz Institute for Science and Mathematics Education
Ellen L. Hamaker
Ellen L. Hamaker Utrecht University
Alexandre J. S. Morin
Alexandre J. S. Morin Concordia University
Benjamin Nagengast
Benjamin Nagengast University of Tübingen
Booil Jo
Booil Jo Stanford University
Nicholas S. Ialongo
Nicholas S. Ialongo Johns Hopkins University
Philip D. Parker
Philip D. Parker Australian Catholic University
Dorret I. Boomsma
Dorret I. Boomsma Vrije Universiteit Amsterdam

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