World's Best Scientists 2026 revealed!
Nakahiro Yoshida

Nakahiro Yoshida

Nakahiro Yoshida 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 Nakahiro Yoshida 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.

Nakahiro Yoshida 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 Nakahiro Yoshida 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

Nakahiro Yoshida is affiliated with the University of Tokyo in Japan. Their research primarily focuses on the fields of economics, econometrics, and finance, with a significant emphasis on mathematics. The major subfields of their work include finance, statistics and probability, mathematical physics, computational theory and mathematics, and modeling and simulation.

The main topics covered in Yoshida's research revolve around stochastic processes and financial applications, financial risk and volatility modeling, statistical methods and inference, stochastic processes and statistical mechanics, mathematical biology related to tumor growth, advanced mathematical modeling in engineering, and statistical methods including Bayesian inference.

Yoshida has published extensively in several academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Annals of the Institute of Statistical Mathematics
  • Stochastic Processes and their Applications
  • Statistical Inference for Stochastic Processes
  • Japanese Journal of Statistics and Data Science

Some of their recent papers are:

  • Adaptive estimation for degenerate diffusion processes, 2021, Electronic Journal of Statistics
  • Penalized least squares approximation methods and their applications to stochastic processes, 2020, Japanese Journal of Statistics and Data Science
  • Global jump filters and quasi-likelihood analysis for volatility, 2021, Annals of the Institute of Statistical Mathematics
  • Asymptotic expansion of the quadratic variation of a mixed fractional Brownian motion, 2020, Statistical Inference for Stochastic Processes
  • Adaptive and non-adaptive estimation for degenerate diffusion processes, 2020, arXiv (Cornell University)

Frequent co-authors with whom Yoshida has collaborated include Arnaud Gloter, Hayate Yamagishi, J. Yoshida, Ciprian A. Tudor, and Yuliya Mishura. These collaborations reflect interdisciplinary connections within statistical and mathematical fields.

Best Publications

  • On covariance estimation of non-synchronously observed diffusion processes

    Takaki Hayashi;Nakahiro Yoshida

  • Estimation for diffusion processes from discrete observation

    Nakahiro Yoshida

  • Asymptotic expansions of maximum likelihood estimators for small diffusions via the theory of Malliavin-Watanabe

    Nakahiro Yoshida

  • Estimation of Parameters for Diffusion Processes with Jumps from Discrete Observations

    Yasutaka Shimizu;Nakahiro Yoshida

  • ASYMPTOTIC EXPANSION FOR STATISTICS RELATED TO SMALL DIFFUSIONS

    Nakahiro Yoshida

  • Polynomial type large deviation inequalities and quasi-likelihood analysis for stochastic differential equations

    Nakahiro Yoshida

  • Adaptive estimation of an ergodic diffusion process based on sampled data

    Masayuki Uchida;Nakahiro Yoshida

  • Asymptotic normality of a covariance estimator for nonsynchronously observed diffusion processes

    Takaki Hayashi;Nakahiro Yoshida

  • The YUIMA project: A computational framework for simulation and inference of stochastic differential equations

    Alexandre Brouste;Masaaki Fukasawa;Hideitsu Hino;Stefano M. Iacus

  • An Asymptotic Expansion Scheme for Optimal Investment Problems

    Akihiko Takahashi;Nakahiro Yoshida

  • Quasi-likelihood analysis for the stochastic differential equation with jumps

    T. Ogihara;N. Yoshida

  • Malliavin calculus and asymptotic expansion for martingales

    Nakahiro Yoshida

  • Nonsynchronous covariation process and limit theorems

    Takaki Hayashi;Nakahiro Yoshida

  • Irregular sampling and central limit theorems for power variations: The continuous case

    Takaki Hayashi;Jean Jacod;Nakahiro Yoshida

  • Malliavin calculus, geometric mixing, and expansion of diffusion functionals

    Shigeo Kusuoka;Nakahiro Yoshida

  • Estimation of the lead-lag parameter from non-synchronous data

    M. Hoffmann;M. Rosenbaum;N. Yoshida

  • Information Criteria in Model Selection for Mixing Processes

    Masayuki Uchida;Nakahiro Yoshida

  • Information criteria for small diffusions via the theory of Malliavin-Watanabe

    Masayuki Uchida;Nakahiro Yoshida

  • Asymptotic Expansion for Small Diffusions Applied to Option Pricing

    Masayuki Uchida;Nakahiro Yoshida

  • On covariance estimation of non-synchronously observed diffusion

    Takaki Hayashi;Nakahiro Yoshida

Frequent Co-Authors

Mark Podolskij
Mark Podolskij University of Luxembourg
Jean Jacod
Jean Jacod Sorbonne University
David Nualart
David Nualart University of Kansas

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 complementary online degrees can open diverse career opportunities. Many graduates consider advancing their education with specialized programs that balance affordability and duration.

For those interested in leadership roles, online dba programs offer a doctoral-level business education with flexible schedules. These programs are often designed for working professionals aiming to enhance their strategic decision-making skills.

If finance intrigues you, earning a cheap online masters in finance can provide advanced expertise in financial analysis and management without burdening your budget. It’s a smart choice for mathematically oriented students targeting high-growth sectors.

Alternatively, those seeking a comprehensive business education in less time might explore the shortest online mba options. These accelerated programs help launch careers in management and entrepreneurship quickly while maintaining quality instruction.

Marketing is another promising field, where a ms in digital marketing degree cost tuition fees study reveals affordable programs offering strong salary potential. This blend of analytical and creative skills suits mathematically minded students well.

Best Scientists Citing Nakahiro Yoshida

Trending Scientists

Recently Published Articles