World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
64
Citations
33627
World Ranking
403
National Ranking
27

Kanti V. Mardia 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 Kanti V. Mardia 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: 301 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Kanti V. Mardia 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 Kanti V. Mardia 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: 64 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)
  • 1977 - Fellow of the American Statistical Association (ASA)

Overview

Kanti V. Mardia is affiliated with the University of Leeds in the United Kingdom. Their research spans several areas within biochemistry, genetics, and molecular biology, with significant contributions also in artificial intelligence, geometry and topology, environmental engineering, and computer vision and pattern recognition.

Their recent publication record includes works across various reputable journals and preprint repositories. Notable recent papers include:

  • Principal component analysis and clustering on manifolds, 2021, Journal of Multivariate Analysis
  • Comments on: Recent advances in directional statistics, 2021, Test
  • Fisher's pioneering work on discriminant analysis and its impact on Artificial Intelligence, 2024, Journal of Multivariate Analysis

Some papers where they are not the sole author but involved in related research topics include:

  • Bridging geometric morphometrics to medical anatomy: An example from an experimental study of the human smile, 2024, bioRxiv (Cold Spring Harbor Laboratory)
  • Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-2, 2023, Journal of the Royal Statistical Society Series C (Applied Statistics)

Mardia has frequently co-authored research with Benjamin Eltzner, Stephan Huckemann, John T. Kent, Henrik Wiechers, and Stuart Barber, reflecting collaborations mainly in statistical and applied mathematical fields.

Their work has appeared predominantly in venues such as:

  • arXiv (Cornell University)
  • Journal of Multivariate Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of the Royal Statistical Society Series C (Applied Statistics)
  • Sankhya A

Mardia has also contributed to scholarly book publications, with titles such as Spatial Analysis published by Wiley in 2022.

Research topics frequently covered in their work include:

  • Morphological variations and asymmetry
  • Bayesian Methods and Mixture Models
  • RNA and protein synthesis mechanisms
  • RNA Research and Splicing
  • Soil Geostatistics and Mapping
  • RNA modifications and cancer
  • Stochastic processes and statistical mechanics

Throughout their career, Mardia has been recognized with distinctions including the Samuel S. Wilks Memorial Award from the American Statistical Association in 2013 and was elected a Fellow of the American Statistical Association in 1977.

Best Publications

  • Measures of multivariate skewness and kurtosis with applications

    K. V. Mardia

  • Statistical Shape Analysis: With Applications in R

    Ian L. Dryden;Kantilal V. Mardia

  • Statistics of Directional Data.

    D. V. Gokhale;K. V. Mardia

  • Statistics of Directional Data

    K. V. Mardia

  • Maximum likelihood estimation of models for residual covariance in spatial regression

    K. V. Mardia;R. J. Marshall

  • Families of Bivariate Distributions

    K. V. Mardia

  • Matching of palmprints

    Nicolae Duta;Anil K. Jain;Kanti V. Mardia

  • Statistical assessment of bilateral symmetry of shapes

    Kanti V. Mardia;Fred L. Bookstein;Ian J. Moreton

  • A review of image-warping methods

    C. A. Glasbey;K. V. Mardia

  • 9 Tests of unvariate and multivariate normality

    K.V. Mardia

  • Multi-dimensional multivariate Gaussian Markov random fields with application to image processing

    K. V. Mardia

  • The effect of nonnormality on some multivariate tests and robustness to nonnormality in the linear model

    K. V. Mardia

  • A spatial thresholding method for image segmentation

    K.V. Mardia;T.J. Hainsworth

  • The Kriged Kalman filter

    Kanti V. Mardia;Colin Goodall;Edwin J. Redfern;Francisco J. Alonso

  • The von Mises–Fisher Matrix Distribution in Orientation Statistics

    C. G. Khatri;K. V. Mardia

  • Multivariate Pareto Distributions

    K. V. Mardia

  • A general correlation coefficient for directional data and related regression problems

    P. E. Jupp;K. V. Mardia

  • Protein bioinformatics and mixtures of bivariate von Mises distributions for angular data.

    Kanti V. Mardia;Charles C. Taylor;Ganesh K. Subramaniam

  • A Unified View of the Theory of Directional Statistics, 1975-1988

    P. E. Jupp;K. V. Mardia

  • A generative, probabilistic model of local protein structure.

    Wouter Boomsma;Kanti V. Mardia;Charles C. Taylor;Jesper Ferkinghoff-Borg

  • Families of Bivariate Distributions.

    J. K. Ord;K. V. Mardia

Frequent Co-Authors

John T. Kent
John T. Kent University of Leeds
Michael Sørensen
Michael Sørensen University of Copenhagen
Madan L. Puri
Madan L. Puri Indiana University
Chris Chatfield
Chris Chatfield University of Bath
Jan Beirlant
Jan Beirlant KU Leuven
Anthony C. Davison
Anthony C. Davison École Polytechnique Fédérale de Lausanne
Johan Segers
Johan Segers Université Catholique de Louvain
Anthony C. Atkinson
Anthony C. Atkinson London School of Economics and Political Science
Walter R. Gilks
Walter R. Gilks University of Leeds
David J. Hand
David J. Hand Imperial College London

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