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Adelchi Azzalini

Adelchi Azzalini

D-Index & Metrics

Mathematics

D-Index
36
Citations
18755
World Ranking
2564
National Ranking
83

Adelchi Azzalini 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 Adelchi Azzalini 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: 109 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Adelchi Azzalini 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 Adelchi Azzalini 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: 36 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Adelchi Azzalini is affiliated with the University of Padua in Italy and has contributed extensively to the fields of Mathematics and Decision Sciences. Their research emphasizes Statistical Distribution Estimation and Applications, with additional work in Advanced Statistical Methods and Models, Probabilistic and Robust Engineering Design, Statistical Methods and Bayesian Inference, Bayesian Methods and Mixture Models, Financial Risk and Volatility Modeling, and Probability and Risk Models.

The scholar's work spans several subfields including Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Artificial Intelligence, and Orthopedics and Sports Medicine. These areas reflect a broad engagement with both theoretical and applied quantitative methods.

Frequent publication venues for their work include arXiv (Cornell University), where four papers have been published, followed by the Journal of Multivariate Analysis and Stat, each with two publications. Additional publication contributions appear in Statistical Papers and Symmetry.

Adelchi Azzalini has collaborated repeatedly with several researchers, notably Reinaldo B. Arellano-Valle, with whom they have co-authored seven papers. Other frequent co-authors include Marco Zanin, Jayamini Ranaweera, Joshua Darrall-Jones, and Gregory Roe, each having worked with Azzalini on two publications.

Recent papers authored or co-authored by Azzalini include the following:

  • "An overview on the progeny of the skew-normal family- A personal perspective" (2021), Journal of Multivariate Analysis
  • "Further Results on a Class of Distributions which Includes the Normal Ones - Looking Back" (2020), DOAJ (DOAJ: Directory of Open Access Journals)

Other relevant papers related to their field but authored primarily by other individuals include:

  • "A Selective Overview of Skew-Elliptical and Related Distributions and of Their Applications" (2020), Symmetry
  • "Designing a small-sided game to elicit attacking tactical behaviour in professional rugby union forwards" (2022), Journal of Sports Sciences
  • "On the non-identifiability of unified skew-normal distributions" (2023), Stat

The research focus on skew-normal and related distribution families is evident from the nature of their frequent publications and collaborations. These statistical approaches are leveraged in various contexts, including multivariate analysis and applications spanning decision sciences and engineering design.

Best Publications

  • A class of distributions which includes the normal ones

    Adelchi Azzalini

  • The multivariate skew-normal distribution

    A. Azzalini;A. Dalla Valle

  • Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution

    Adelchi Azzalini;Antonella Capitanio

  • Applied smoothing techniques for data analysis : the kernel approach with S-plus illustrations

    Adrian W. Bowman;Adelchi Azzalini

  • Statistical applications of the multivariate skew normal distribution

    Adelchi Azzalini;A. Capitanio

  • The Skew-normal Distribution and Related Multivariate Families.

    Adelchi Azzalini

  • Further results on a class of distributions which includes the normal ones

    Adelchi Azzalini

  • The Skew-Normal and Related Families

    Adelchi Azzalini;Antonella Capitanio

  • On the Unification of Families of Skew‐normal Distributions

    Reinaldo B. Arellano-Valle;Adelchi Azzalini

  • A note on the estimation of a distribution function and quantiles by a kernel method

    A. Azzalini

  • Statistical Inference Based on the likelihood

    Adelchi Azzalini

  • A look at some data on the old faithful geyser

    A. Azzalini;A.W. Bowman

  • Skewed multivariate models related to hidden truncation and/or selective reporting

    Barry C. Arnold;Robert J. Beaver;A. Azzalini;N. Balakrishnan

  • Robust Likelihood Methods Based on the Skew-t and Related Distributions

    Adelchi Azzalini;Marc G. Genton;Marc G. Genton

  • On the use of nonparametric regression for model checking

    A. Azzalini;A. W. Bowman;W. Härdle

  • On the Use of Nonparametric Regression for Checking Linear Relationships

    Adelchi Azzalini;Adrian Bowman

  • Clustering via nonparametric density estimation

    Adelchi Azzalini;Nicola Torelli

  • The centred parametrization for the multivariate skew-normal distribution

    Reinaldo B. Arellano-Valle;Adelchi Azzalini

  • Testing for a deficit in single-case studies: Effects of departures from normality

    John R. Crawford;Paul H. Garthwaite;Adelchi Azzalini;David C. Howell

  • Graphical models for skew-normal variates

    A. Capitanio;A. Azzalini;E. Stanghellini

  • Logistic regression for autocorrelated data with application to repeated measures

    A. Azzalini

Frequent Co-Authors

Marc G. Genton
Marc G. Genton King Abdullah University of Science and Technology
Paul D. McNicholas
Paul D. McNicholas McMaster University
Mahdi Salehi
Mahdi Salehi Ferdowsi University of Mashhad
John Robertson Crawford
John Robertson Crawford University of Aberdeen
Peter J. Diggle
Peter J. Diggle Lancaster University
Narayanaswamy Balakrishnan
Narayanaswamy Balakrishnan McMaster University
Dipak K. Dey
Dipak K. Dey University of Connecticut
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Keith R. Laws
Keith R. Laws University of Hertfordshire
David R. Cox
David R. Cox University of Oxford

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