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Frederi Viens 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 Frederi Viens 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+

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

Frederi Viens 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 Frederi Viens 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+

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

Overview

Frederi Viens is affiliated with Rice University in the United States, focusing primarily on research intersecting multiple disciplines including economics, finance, and nuclear physics. Their work explores stochastic processes and financial applications, nuclear reactor physics and engineering, and the modeling of probability and risk.

Their recent publications cover a range of topics within these fields. Notable papers include:

  • "Get on the BAND Wagon: a Bayesian framework for quantifying model uncertainties in nuclear dynamics" (2021), published in the Journal of Physics G Nuclear and Particle Physics
  • "Towards precise and accurate calculations of neutrinoless double-beta decay" (2022), also in the Journal of Physics G Nuclear and Particle Physics
  • "Bayes goes fast: Uncertainty quantification for a covariant energy density functional emulated by the reduced basis method" (2023), published in Frontiers in Physics
  • "Environmental and management drivers of soil health indicators on Michigan field crop farms" (2021), featured in Soil and Tillage Research
  • "Rotational complexity increases cropping system output under poorer growing conditions" (2024), published in One Earth

Their work often involves collaboration, with frequent co-authors including Sieglinde S. Snapp, Pablo Giuliani, Soukaina Douissi, J. Piekarewicz, and Jeffrey D. Michler. This indicates interdisciplinary connections spanning agriculture, physics, and finance-related research.

Frederi Viens has contributed to several publication venues, emphasizing both their core focus and interdisciplinary reach. Their frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Physics G Nuclear and Particle Physics
  • Stochastic Processes and their Applications
  • One Earth
  • Frontiers in Physics

Their primary field of study is Economics, Econometrics, and Finance, supported by significant contributions to related subfields such as Finance, Nuclear and High Energy Physics, Statistics and Probability, Economics and Econometrics, and Soil Science.

The main topics covered in their work elaborate on this interdisciplinary approach and include:

  • Stochastic processes and financial applications
  • Nuclear reactor physics and engineering
  • Nuclear physics research studies
  • Probability and Risk Models
  • Agricultural risk and resilience
  • Complex Systems and Time Series Analysis
  • Financial Risk and Volatility Modeling

Best Publications

  • Stochastic evolution equations with fractional Brownian motion

    S. Tindel;C.A. Tudor;F. Viens

  • Bayesian approach to model-based extrapolation of nuclear observables

    Léo Neufcourt;Yuchen Cao;Witold Nazarewicz;Frederi Viens

  • Robust optimal control for an insurer with reinsurance and investment under Heston’s stochastic volatility model

    Bo Yi;Bo Yi;Zhongfei Li;Frederi G. Viens;Yan Zeng

  • Statistical aspects of the fractional stochastic calculus

    Ciprian A. Tudor;Frederi G. Viens

  • Neutron Drip Line in the Ca Region from Bayesian Model Averaging.

    Léo Neufcourt;Yuchen Cao;Witold Nazarewicz;Erik Olsen

  • Density Formula and Concentration Inequalities with Malliavin Calculus

    Ivan Nourdin;Frederi G Viens

  • Estimation and pricing under long-memory stochastic volatility

    Alexandra Chronopoulou;Frederi G. Viens

  • Variations and estimators for self-similarity parameters via Malliavin calculus.

    Ciprian A. Tudor;Frederi G. Viens

  • Robust optimal strategies for an insurer with reinsurance and investment under benchmark and mean-variance criteria

    Bo Yi;Frederi Viens;Zhongfei Li;Yan Zeng

  • Stochastic volatility and option pricing with long-memory in discrete and continuous time

    Alexandra Chronopoulou;Frederi G. Viens

  • Stochastic volatility: Option pricing using a multinomial recombining tree

    Ionuţ Florescu;Frederi G. Viens

  • R&D Spending, Knowledge Capital, and Agricultural Productivity Growth: A Bayesian Approach

    Uris Lantz C. Baldos;Frederi G. Viens;Thomas W. Hertel;Keith O. Fuglie

  • Skorohod integration and stochastic calculus beyond the fractional Brownian scale

    Oana Mocioalca;Frederi Viens

  • Almost-sure exponential behavior of a stochastic anderson model with continuous space parameter

    René.A. Carmona;Frederi G. Viens

  • Optimal robust reinsurance-investment strategies for insurers with mean reversion and mispricing

    Ailing Gu;Frederi G. Viens;Haixiang Yao

  • Optimal rates for parameter estimation of stationary Gaussian processes

    Khalifa Es-Sebaiy;Frederi G. Viens

  • Parameter estimation for a partially observed Ornstein–Uhlenbeck process with long-memory noise

    Brahim El Onsy;Khalifa Es-Sebaiy;Frederi G. Viens

  • Ito Formula and Local Time for the Fractional Brownian Sheet

    Ciprian A. Tudor;Frederi G. Viens

  • On the linkages in U.S. public R&D spending, knowledge capital and agricultural productivity growth: A Bayesian approach

    Uris Lantz C. Baldos;Frederi G. Viens;Thomas Hertel;Keith Fuglie

  • Variations and Hurst index estimation for a Rosenblatt process using longer filters

    Alexandra Chronopoulou;Ciprian Tudor;Frederi Viens

Frequent Co-Authors

Francesco Russo
Francesco Russo École Nationale Supérieure de Techniques Avancées
Ivan Nourdin
Ivan Nourdin University of Luxembourg
Witold Nazarewicz
Witold Nazarewicz Michigan State University
Stefan M. Wild
Stefan M. Wild Lawrence Berkeley National Laboratory
Gerald Shively
Gerald Shively Purdue University West Lafayette
David Nualart
David Nualart University of Kansas
Thomas W. Hertel
Thomas W. Hertel Purdue University West Lafayette
Keith O. Fuglie
Keith O. Fuglie United States Department of Agriculture
H. Eugene Stanley
H. Eugene Stanley Boston University
Sieglinde S. Snapp
Sieglinde S. Snapp International Maize and Wheat Improvement Center

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