World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
30
Citations
3829
World Ranking
3521
National Ranking
226

Ben Hambly 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 Ben Hambly 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: 99 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Ben Hambly 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 Ben Hambly 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: 30 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Ben Hambly is affiliated with the University of Oxford in the United Kingdom. Their academic work primarily spans the fields of Economics, Econometrics and Finance, as well as Mathematics.

Their research covers a range of subfields, including:

  • Finance
  • Statistical and Nonlinear Physics
  • Computational Theory and Mathematics
  • Management Science and Operations Research
  • Economics and Econometrics

Main topics of their research activity include:

  • Stochastic processes and financial applications
  • Advanced Thermodynamics and Statistical Mechanics
  • Advanced Mathematical Modeling in Engineering
  • Mathematical Biology Tumor Growth
  • Advanced Bandit Algorithms Research
  • Complex Systems and Time Series Analysis
  • Adaptive Dynamic Programming Control

Ben Hambly has published extensively, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Stochastic Processes and their Applications
  • Mathematical Finance
  • SIAM Journal on Control and Optimization

Selected recent papers from Ben Hambly include:

  • Recent advances in reinforcement learning in finance, 2023, Mathematical Finance
  • Recent Advances in Reinforcement Learning in Finance, 2021, SSRN Electronic Journal
  • Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon, 2021, SIAM Journal on Control and Optimization
  • Limit Order Books, Diffusion Approximations and Reflected SPDEs: From Microscopic to Macroscopic Models, 2020, Applied Mathematical Finance
  • Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon, 2020, arXiv (Cornell University)

Frequent collaborators in research include:

  • Renyuan Xu
  • Huining Yang
  • Philipp Jettkant
  • Andreas Søjmark
  • Julian Meier

Best Publications

  • Fractals, random shapes, and point fields

    Ben Hambly

  • Uniqueness for the signature of a path of bounded variation and the reduced path group

    Ben M. Hambly;Terry J. Lyons

  • MONTE CARLO METHODS FOR THE VALUATION OF MULTIPLE‐EXERCISE OPTIONS

    Nicolai Meinshausen;B.M. Hambly

  • Modelling spikes and pricing swing options in electricity markets

    Ben Hambly;Sam Howison;Tino Kluge

  • Transition density estimates for Brownian motion on affine nested fractals

    Pat J. Fitzsimmons;Ben M. Hambly;Takashi Kumagai

  • Transition Density Estimates for Diffusion Processes on Post Critically Finite Self-Similar Fractals

    B. M. Hambly;T. Kumagai

  • Invariance principle for the random conductance model

    S. Andres;M. T. Barlow;J.-D. Deuschel;B. M. Hambly

  • Brownian motion on a homogeneous random fractal

    B. M. Hambly

  • Brownian motion on a random recursive Sierpinski gasket

    B. M. Hambly

  • Parabolic Harnack Inequality and Local Limit Theorem for Percolation Clusters

    Ben M Hambly;Martin T Barlow

  • Stochastic Evolution Equations in Portfolio Credit Modelling

    N. Bush;B. M. Hambly;H. Haworth;L. Jin

  • Random fractal strings: Their zeta functions, complex dimensions and spectral asymptotics

    Ben M. Hambly;Michel L. Lapidus

  • Heat kernel estimates for symmetric random walks on a class of fractal graphs and stability under rough isometries

    B. M. Hambly;T. Kumagai

  • FINITELY RAMIFIED GRAPH-DIRECTED FRACTALS, SPECTRAL ASYMPTOTICS AND THE MULTIDIMENSIONAL RENEWAL THEOREM

    B. M. Hambly;S. O. G. Nyberg

  • Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon

    Ben Hambly;Renyuan Xu;Huining Yang

  • Recent Advances in Reinforcement Learning in Finance

    Ben M. Hambly;Renyuan Xu;Huining Yang

  • A dual approach to multiple exercise option problems under constraints

    Nikolay Aleksandrov;Ben Hambly

  • Stochastic area for Brownian motion on the Sierpinski gasket

    B. M. Hambly;T. J. Lyons

  • Diffusion on the Scaling Limit of the Critical Percolation Cluster in the Diamond Hierarchical Lattice

    B. M. Hambly;T. Kumagai

  • Self‐Similar Energies on Post‐Critically Finite Self‐Similar Fractals

    Ben M. Hambly;V. Metz;Alexander Teplyaev

  • Extending the Wong-Zakai theorem to reversible Markov processes

    Richard F. Bass;Ben Hambly;Terry J. Lyons

  • Parabolic Harnack Inequality and Local Limit Theorem for Percolation Clusters

    Martin Barlow;Ben Hambly

Frequent Co-Authors

Takashi Kumagai
Takashi Kumagai Waseda University
Terry Lyons
Terry Lyons University of Oxford
Neil O'Connell
Neil O'Connell University College Dublin
Martin T. Barlow
Martin T. Barlow University of British Columbia
Mark S.P. Sansom
Mark S.P. Sansom University of Oxford
Jacob Piehler
Jacob Piehler Osnabrück University
Colin Kleanthous
Colin Kleanthous University of Oxford
Andreas E. Kyprianou
Andreas E. Kyprianou University of Warwick
Michel L. Lapidus
Michel L. Lapidus University of California, Riverside

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