World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
44
Citations
17142
World Ranking
1526
National Ranking
37

Eugene Seneta 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 Eugene Seneta 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: 296 publications — 85th percentile

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

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

Eugene Seneta 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 Eugene Seneta 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: 44 D-Index — 58th percentile

58% 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

  • 1985 - Fellow of the Australian Academy of Science

Overview

Eugene Seneta is affiliated with the University of Sydney in Australia, contributing primarily in the field of Mathematics. Their work spans several subfields including Statistics and Probability, Finance, Management Science and Operations Research, Global and Planetary Change, and Mathematical Physics.

Their research covers multiple topics such as Statistical Distribution Estimation and Applications, Financial Risk and Volatility Modeling, Probability and Risk Models, Hydrology and Drought Analysis, Statistical Methods and Inference, Statistical Methods in Clinical Trials, and Stochastic Processes and Financial Applications.

Seneta has authored a number of recent papers, highlighting contributions to statistical distribution theory and financial mathematics. These include:

  • "Tail asymptotics for the bivariate equi-skew generalized hyperbolic distribution and its Variance-Gamma special case" (2021) published in Statistics & Probability Letters
  • "Tail asymptotics for the bivariate skew normal in the general case" (2022) published on arXiv (Cornell University)
  • "On Familywise Error Rate Cutoffs under Pairwise Exchangeability" (2023) published in Methodology And Computing In Applied Probability
  • "The t-Distribution in Financial Mathematics and Multivariate Testing Contexts" (2025) published in Journal of risk and financial management
  • "Tail asymptotics for the bivariate equi-skew Variance-Gamma distribution" (2020) published on arXiv (Cornell University)

Seneta's publications appear frequently in venues such as Statistics & Probability Letters, arXiv (Cornell University), Methodology And Computing In Applied Probability, Journal of risk and financial management, and Electronic Imaging.

Throughout their career, Seneta has collaborated with several co-authors, notably Thomas Fung with six joint publications. Other frequent collaborators include Siavash Norouzi, James J. D. Luis, Ramyaa Ramyaa, and J. S. Young.

In recognition of their contributions, Seneta was awarded the title of Fellow of the Australian Academy of Science in 1985.

Best Publications

  • Non-negative Matrices and Markov Chains

    E. Seneta

  • The Variance Gamma (V.G.) Model for Share Market Returns

    Dilip B. Madan;Eugene Seneta

  • Regularly varying functions

    Eugene Seneta

  • On Quasi-Stationary distributions in absorbing discrete-time finite Markov chains

    J. N. Darroch;E. Seneta

  • On quasi-stationary distributions in absorbing continuous-time finite Markov chains

    J. N. Darroch;E. Seneta

  • Non-negative Matrices and Markov Chains (Springer Series in Statistics)

    E. Seneta

  • On quasi-stationary distributions in discrete-time Markov chains with a denumerable infinity of states

    E. Seneta;D. Vere-Jones

  • Regularly varying sequences

    J. Galambos;E. Seneta

  • A unified theory of regularly varying sequences

    Ranko Bojanic;Eugene Seneta;Eugene Seneta

  • Non-Negative Matrices: An Introduction to Theory and Applications

    E. Seneta

  • Functional equations and the Galton-Watson process

    E. Seneta

  • FITTING THE VARIANCE-GAMMA MODEL TO FINANCIAL DATA

    Eugene Seneta

  • Slowly varying functions and asymptotic relations

    R Bojanic;E Seneta

  • Discrete Markov chains

    Vsevolod Ivanovich Romanovskiĭ;E. Seneta

  • ESTIMATION THEORY FOR GROWTH AND IMMIGRATION RATES IN A MULTIPLICATIVE PROCESS

    C. C. Heyde;E. Seneta

  • Chebyshev Polynomial Approximations and Characteristic Function Estimation

    D. B. Madan;E. Seneta

  • A Refinement of Two Theorems in the Theory of Branching Processes

    C. R. Heathcote;E. Seneta;D. Vere-Jones

  • Perturbation of the stationary distribution measured by ergodicity coefficients

    E. Seneta

  • Statisticians of the Centuries

    Eugene Seneta

  • Markov and the birth of chain dependence theory

    E. Seneta

  • ON QUASI-STATIONARY DISTRIBUTIONS IN

    Absorbing Continuous-Time Finite;J. N. Darroch;E. Seneta

Frequent Co-Authors

C. C. Heyde
C. C. Heyde Australian National University
Dilip B. Madan
Dilip B. Madan University of Maryland, College Park
Gene H. Golub
Gene H. Golub Stanford University
Simon Tavaré
Simon Tavaré Columbia University
Francesco Pepe
Francesco Pepe University of Geneva
Didier Queloz
Didier Queloz University of Cambridge
Damien Ségransan
Damien Ségransan University of Geneva
Isabelle Baraffe
Isabelle Baraffe École Normale Supérieure de Lyon
David K. Sing
David K. Sing Johns Hopkins University

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