World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
3440
World Ranking
3373
National Ranking
79

Domingo Morales 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 Domingo Morales 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: 199 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Domingo Morales 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 Domingo Morales 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: 31 D-Index — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Overview

Domingo Morales is affiliated with Miguel Hernandez University in Spain, with a research profile spanning multiple intersecting fields and topics. Their work primarily covers aspects of Economics, Econometrics and Finance, Mathematics, and Decision Sciences, supported by frequent contributions to related subfields including Economics and Econometrics, Statistics and Probability, and Management Science and Operations Research.

Their recent publication record includes work in diverse venues such as Statistical Methods & Applications, Journal of Environmental Management, Research in Autism Spectrum Disorders, Archives of Internal Medicine Research, and more. Notable papers include:

  • "Small area estimation under a measurement error bivariate Fay-Herriot model" (2020, Statistical Methods & Applications)
  • "Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain" (2022, Journal of Environmental Management)
  • "Small area estimation under a temporal bivariate area-level linear mixed model with independent time effects" (2020, Statistical Methods & Applications)
  • "Interplay of circadian clock and melatonin pathway gene variants in adults with autism, intellectual disability and sleep problems" (2020, Research in Autism Spectrum Disorders)
  • "Global Pain State Questionnaire: Reliability, Validity, and Gender Gap" (2021, Archives of Internal Medicine Research)

The scientist collaborates frequently with several researchers, including Agustín Pérez, María Dolores Esteban, Tomáš Hobza, Ana M. Peiró, and Javier Muriel. These collaborations have resulted in multiple joint publications.

Among their publication venues, Statistical Methods & Applications is the most frequent, with several contributions. Other common venues include Test, Journal of Survey Statistics and Methodology, SSRN Electronic Journal, and arXiv (Cornell University).

In addition to journal articles, Domingo Morales has contributed to academic literature through books published by Springer Nature and Springer International Publishing. Titles include "A Course on Small Area Estimation and Mixed Models" (2021) and "Trends in Mathematical, Information and Data Sciences" (2022).

Their research topics are diverse, reflecting a broad interest in both theory and application. These include:

  • Spatial and Panel Data Analysis
  • Demographic modeling and climate adaptation
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Inference
  • Agricultural Economics and Policy
  • Pain Management and Opioid Use
  • Opioid Use Disorder Treatment

Best Publications

  • A summary on entropy statistics

    María Dolores Esteban;Domingo Morales

  • Bootstrap mean squared error of a small-area EBLUP

    W. González-Manteiga;M. J. Lombardía;I. Molina;D. Morales

  • On the applications of divergence type measures in testing statistical hypotheses

    M. Salicrú;D. Morales;M. L. Menéndez;L. Pardo

  • Small area estimation with spatio-temporal Fay-Herriot models

    Yolanda Marhuenda;Isabel Molina;Domingo Morales

  • Asymptotic divergence of estimates of discrete distributions

    D. Morales;L. Pardo;I. Vajda

  • Estimation of the mean squared error of predictors of small area linear parameters under a logistic mixed model

    W. González-Manteiga;M. J. Lombardía;I. Molina;D. Morales

  • Analytic and bootstrap approximations of prediction errors under a multivariate Fay-Herriot model

    W. González-Manteiga;M. J. Lombardía;I. Molina;D. Morales

  • Multivariate Fay-Herriot models for small area estimation

    Roberto Benavent;Domingo Morales

  • Asymptotic distribution of (h, φ)-entropies

    M. Salicru;M.L. Menendez;D. Morales;L. Pardo

  • Small area estimation of poverty proportions under area-level time models

    M. D. Esteban;D. Morales;A. Pérez;L. Santamaría

  • Some New Statistics for Testing Hypotheses in Parametric Models

    D. Morales;L. Pardo;I. Vajda

  • MONTE CARLO COMPARISON OF FOUR NORMALITY TESTS USING DIFFERENT ENTROPY ESTIMATES

    M. D. Esteban;M. E. Castellanos;D. Morales;I. Vajda

  • Multinomial-based small area estimation of labour force indicators*:

    Esther López-Vizcaíno;María José Lombardía;Domingo Morales

  • Small area estimation of labour force indicators under a multinomial model with correlated time and area effects

    Esther López-Vizcaíno;María José Lombardía;Domingo Morales

  • Uncertainty of discrete stochastic systems: general theory and statistical inference

    D. Morales;L. Pardo;I. Vajda

  • Prediction of forest fires occurrences with area-level Poisson mixed models.

    Miguel Boubeta;María José Lombardía;Manuel Francisco Marey-Pérez;Domingo Morales

  • Empirical best prediction under area-level Poisson mixed models

    Miguel Boubeta;María José Lombardía;Domingo Morales

  • Empirical Best Prediction Under Unit-Level Logit Mixed Models

    Tomáš Hobza;Domingo Morales

  • A Course on Small Area Estimation and Mixed Models: Methods, Theory and Applications in R

    Domingo Morales;María Dolores Esteban;Agustín Pérez;Tomáš Hobza

  • Poverty mapping in small areas under a twofold nested error regression model

    Yolanda Marhuenda;Isabel Molina;Domingo Morales;J. N. K. Rao

  • Small area estimation of poverty indicators under partitioned area-level time models

    Domingo Morales;Maria Chiara Pagliarella;Renato Salvatore

Frequent Co-Authors

Wenceslao González-Manteiga
Wenceslao González-Manteiga University of Santiago de Compostela
Amanda L. Richdale
Amanda L. Richdale La Trobe University
J. N. K. Rao
J. N. K. Rao Carleton University

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