World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
12109
World Ranking
1987
National Ranking
18

Raul Tempone 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 Raul Tempone 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: 266 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Raul Tempone 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 Raul Tempone 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: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Raul Tempone is affiliated with the King Abdullah University of Science and Technology in Saudi Arabia. Their research spans a range of topics primarily in statistics, probability, uncertainty quantification, and applications in engineering and finance.

The scientist's recent publication record includes works addressing advanced computational methods and stochastic modeling. Notable papers include:

  • Nesterov-aided stochastic gradient methods using Laplace approximation for Bayesian design optimization (2020, Repository@Nottingham, University of Nottingham)
  • Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks (2020, arXiv, Cornell University)
  • Multilevel Ensemble Kalman Filtering based on a sample average of independent EnKF estimators (2021, King Abdullah University of Science and Technology Repository)
  • Efficient importance sampling for large sums of independent and identically distributed random variables (2021, King Abdullah University of Science and Technology Repository)
  • Principal component density estimation for scenario generation using normalizing flows (2022, Data-Centric Engineering)

Their frequent co-authors include:

  • Nadhir Ben Rached
  • Luis Espath
  • Chiheb Ben Hammouda
  • Abdul-Lateef Haji-Ali
  • Alexander Litvinenko

Raul Tempone often publishes in venues that focus on computational statistics, uncertainty quantification, and applied mathematics. Regular publication venues include:

  • arXiv (Cornell University)
  • Statistics and Computing
  • Computer Methods in Applied Mechanics and Engineering
  • King Abdullah University of Science and Technology Repository
  • SIAM/ASA Journal on Uncertainty Quantification

Their research fields of focus encompass:

  • Statistics, Probability and Uncertainty
  • Artificial Intelligence
  • Statistics and Probability
  • Finance
  • Electrical and Electronic Engineering

The main research topics they cover include:

  • Probabilistic and Robust Engineering Design
  • Stochastic processes and financial applications
  • Mathematical Approximation and Integration
  • Probability and Risk Models
  • Statistical Methods and Inference
  • Advanced Multi-Objective Optimization Algorithms
  • Target Tracking and Data Fusion in Sensor Networks

Best Publications

  • A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

    Ivo Babus caron;ka;Fabio Nobile;Rau´l Tempone

  • A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

    Ivo Babuška;Fabio Nobile;Raúl Tempone

  • A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

    F. Nobile;R. Tempone;C. G. Webster

  • GALERKIN FINITE ELEMENT APPROXIMATIONS OF STOCHASTIC ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS

    Ivo Babuska;Raúl Tempone;Georgios E. Zouraris

  • An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

    F. Nobile;R. Tempone;C. G. Webster

  • Solving elliptic boundary value problems with uncertain coefficients by the finite element method: the stochastic formulation

    Ivo Babuška;Raúl Tempone;Georgios E. Zouraris

  • Stochastic Spectral Galerkin and Collocation Methods for PDEs with Random Coefficients: A Numerical Comparison

    Joakim Bäck;Fabio Nobile;Lorenzo Tamellini;Raul Tempone

  • Multi-index Monte Carlo: when sparsity meets sampling

    Abdul-Lateef Haji-Ali;Fabio Nobile;Raúl Tempone

  • ON THE OPTIMAL POLYNOMIAL APPROXIMATION OF STOCHASTIC PDES BY GALERKIN AND COLLOCATION METHODS

    Joakim Beck;Raul Tempone;Fabio Nobile;Fabio Nobile;Lorenzo Tamellini

  • Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations

    Quan Long;Quan Long;Marco Scavino;Marco Scavino;Raúl Tempone;Suojin Wang

  • A continuation multilevel Monte Carlo algorithm

    Nathan Collier;Abdul-Lateef Haji-Ali;Fabio Nobile;Erik von Schwerin

  • Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

    Abdellah Chkifa;Albert Cohen;Giovanni Migliorati;Fabio Nobile

  • Analysis and implementation issues for the numerical approximation of parabolic equations with random coefficients

    Fabio Nobile;Raul Tempone;Raul Tempone

  • Multilevel sequential Monte-Carlo samplers

    Alexandros Beskos;Ajay Jasra;Kody Law;Raul Tempone

  • Theory and methodology for estimation and control of errors due to modeling, approximation, and uncertainty

    J T Oden;Ivo M Babuska;Fabio Nobile;Yusheng Feng

  • Multilevel ensemble Kalman filtering

    Håkon Hoel;Håkon Hoel;Kody J. H. Law;Raul Tempone

  • Analysis of Discrete $$L^2$$L2 Projection on Polynomial Spaces with Random Evaluations

    G. Migliorati;F. Nobile;E. Schwerin;R. Tempone

  • Approximation of Quantities of Interest in Stochastic PDEs by the Random Discrete $L^2$ Projection on Polynomial Spaces

    Giovanni Migliorati;Fabio Nobile;E. Von Schwerin;R. Tempone

  • Adaptive Weak Approximation of Stochastic Differential Equations

    Anders Szepessy;Raúl Tempone;Georgios E. Zouraris

  • A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria

    I. Babuska;F. Nobile;Raul Tempone

  • SOLVING STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS BASED ON THE EXPERIMENTAL DATA

    Ivo Babuška;Kang-Man Liu;Raúl Tempone

Frequent Co-Authors

Fabio Nobile
Fabio Nobile École Polytechnique Fédérale de Lausanne
Mohamed-Slim Alouini
Mohamed-Slim Alouini King Abdullah University of Science and Technology
Abla Kammoun
Abla Kammoun King Abdullah University of Science and Technology
Ivo Babuška
Ivo Babuška The University of Texas at Austin
Hamidou Tembine
Hamidou Tembine King Abdullah University of Science and Technology
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
Omar M. Knio
Omar M. Knio King Abdullah University of Science and Technology
Hakan Bagci
Hakan Bagci King Abdullah University of Science and Technology
Rajandrea Sethi
Rajandrea Sethi Polytechnic University of Turin
Daniele Marchisio
Daniele Marchisio Polytechnic University of Turin

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