World's Best Scientists 2026 revealed!

Frederi Viens publications per year

The chart shows the history of publications by Frederi Viens between 1976 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Frederi Viens published across 50 years, from 1976 to 2025, averaging 3.6 papers a year. Output peaked at 14 publications in 2019. 8 of the 178 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1976 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2019. 1976: 2 publications 1977: 7 publications 1978: 4 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 1 publication 1997: 0 publications 1998: 1 publication 1999: 2 publications 2000: 1 publication 2001: 0 publications 2002: 4 publications 2003: 3 publications 2004: 3 publications 2005: 4 publications 2006: 8 publications 2007: 7 publications 2008: 11 publications 2009: 10 publications 2010: 4 publications 2011: 7 publications 2012: 6 publications 2013: 6 publications 2014: 6 publications 2015: 13 publications 2016: 10 publications 2017: 5 publications 2018: 3 publications 2019: 14 publications 2020: 8 publications 2021: 8 publications 2022: 7 publications 2023: 5 publications 2024: 7 publications 2025: 1 publication
1976 2025

178 publications in total across all disciplines

View publications per year as a table
Frederi Viens: publications per year, 1976 to 2025
Year Publications
1976 2
1977 7
1978 4
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 1
1997 0
1998 1
1999 2
2000 1
2001 0
2002 4
2003 3
2004 3
2005 4
2006 8
2007 7
2008 11
2009 10
2010 4
2011 7
2012 6
2013 6
2014 6
2015 13
2016 10
2017 5
2018 3
2019 14
2020 8
2021 8
2022 7
2023 5
2024 7
2025 1
Total 178
Download as CSV

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.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. 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 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

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

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

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.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. 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.

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
Download as CSV

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can expand career opportunities significantly. For instance, professionals interested in leadership roles may consider enrolling in a one year mba program, which offers a fast-tracked approach to acquiring business management skills without interrupting their career progress.

One notable advantage in the realm of online education is the flexibility offered by programs that accept transfer credits. This makes it easier for students to leverage previous coursework when pursuing an online mba program, reducing completion time and tuition costs.

Additionally, many Mathematics graduates gravitate towards data-driven fields. The rising demand for analytics expertise makes data analytics a popular path, with some of the best masters in data analytics programs offering specialized training that complements strong mathematical foundations.

For those new to graduate business education, identifying the easiest mba to get into can be a strategic starting point. These programs typically have more flexible admission requirements, making them accessible options for students balancing work and studies.

Best Scientists Citing Frederi Viens

Trending Scientists

Recently Published Articles