World's Best Scientists 2026 revealed!

Erhan Bayraktar 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 Erhan Bayraktar 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.

Erhan Bayraktar 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 Erhan Bayraktar 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

Erhan Bayraktar is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the fields of Economics, Econometrics and Finance, and Mathematics, with a particular focus on subfields such as Finance, Economics and Econometrics, Management Science and Operations Research, Mathematical Physics, and Applied Mathematics.

The main topics covered by Bayraktar's work include stochastic processes and financial applications, economic theories and models, stochastic processes and statistical mechanics, risk and portfolio optimization, Markov chains and Monte Carlo methods, complex systems and time series analysis, and financial risk and volatility modeling.

Bayraktar has published extensively in a range of academic venues. Frequent publication outlets include arXiv (Cornell University), SSRN Electronic Journal, SIAM Journal on Financial Mathematics, Mathematical Finance, and Applied Mathematics & Optimization.

Collaborative work is a significant aspect of Bayraktar's research, with frequent coauthors including Xin Zhang, Ibrahim Ekren, Ali̇ Devran Kara, Asaf Cohen, and Ruoyu Wu.

Recent publications by Bayraktar highlight contributions to the study of mean field games and time-inconsistent stopping problems, with selected papers including:

  • "Finite state mean field games with Wright-Fisher common noise," 2021, Padua Research Archive (University of Padua)
  • "Equilibrium concepts for time-inconsistent stopping problems in continuous time," 2020, Mathematical Finance
  • "On non-uniqueness in mean field games," 2020, Proceedings of the American Mathematical Society
  • "Graphon mean field systems," 2023, The Annals of Applied Probability
  • "Finite State Mean Field Games with Wright-Fisher Common Noise as Limits of N-Player Weighted Games," 2022, Mathematics of Operations Research

Best Publications

  • Liquidation in Limit Order Books with Controlled Intensity

    Erhan Bayraktar;Michael Ludkovski

  • Estimating the Fractal Dimension of the S&P 500 Index using Wavelet Analysis

    Erhan Bayraktar;H. Vincent Poor;Ronnie Sircar

  • ON OPTIMAL DIVIDENDS IN THE DUAL MODEL

    Erhan Bayraktar;Andreas E. Kyprianou;Kazutoshi Yamazaki

  • Optimal reinsurance and investment with unobservable claim size and intensity

    Zhibin Liang;Erhan Bayraktar

  • Optimizing venture capital investments in a jump diffusion model

    Erhan Bayraktar;Masahiko Egami

  • Minimizing the probability of lifetime ruin under borrowing constraints

    Erhan Bayraktar;Virginia R. Young

  • PRICING ASIAN OPTIONS FOR JUMP DIFFUSION

    Erhan Bayraktar;Hao Xing

  • Optimal stopping for non-linear expectations—Part I

    Erhan Bayraktar;Song Yao

  • A Limit Theorem for Financial Markets with Inert Investors

    Erhan Bayraktar;Ulrich Horst;Ronnie Sircar

  • Stochastic Perron's method and verification without smoothness using viscosity comparison: The linear case

    Erhan Bayraktar;Mihai Sîrbu

  • Optimal Stopping for Dynamic Convex Risk Measures

    Erhan Bayraktar;Ioannis Karatzas;Song Yao

  • Optimal dividends in the dual model under transaction costs

    Erhan Bayraktar;Andreas E. Kyprianou;Kazutoshi Yamazaki

  • OPTIMAL TRADE EXECUTION IN ILLIQUID MARKETS

    Erhan Bayraktar;Michael Ludkovski

  • Adaptive Poisson disorder problem

    Erhan Bayraktar;Savas Dayanik;Ioannis Karatzas

  • Stochastic Perron's Method for Hamilton--Jacobi--Bellman Equations

    Erhan Bayraktar;Mihai Sîrbu

  • On the Multidimensional Controller-and-Stopper Games

    Erhan Bayraktar;Yu Jui Huang

  • On the One-Dimensional Optimal Switching Problem

    Erhan Bayraktar;Masahiko Egami

  • The standard Poisson disorder problem revisited

    Erhan Bayraktar;Savas Dayanik;Ioannis Karatzas

  • Stochastic Perron’s method and verification without smoothness using viscosity comparison: Obstacle problems and Dynkin games

    Erhan Bayraktar;Mihai Sîrbu

  • Valuation of Mortality Risk via the Instantaneous Sharpe Ratio: Applications to Life Annuities

    Erhan Bayraktar;Moshe A. Milevsky;S. D. Promislow;V.R. Young

Frequent Co-Authors

Virginia R. Young
Virginia R. Young University of Michigan–Ann Arbor
Ronnie Sircar
Ronnie Sircar Princeton University
H. Vincent Poor
H. Vincent Poor Princeton University
Andreas E. Kyprianou
Andreas E. Kyprianou University of Warwick
Ioannis Karatzas
Ioannis Karatzas Columbia University
Jie Yang
Jie Yang RMIT University
Lifeng Lai
Lifeng Lai University of California, Davis
Moshe A. Milevsky
Moshe A. Milevsky York University

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 those studying Mathematics in the USA, exploring related online degrees can open diverse career opportunities. Many students consider advanced business education alongside their math background, often looking into 12 month MBA programs to quickly gain managerial skills without a lengthy time commitment. These accelerated programs appeal to learners eager to combine quantitative expertise with business strategy.

Transfer credits often play a crucial role for students seeking flexibility in their education. Prospective MBA candidates with prior coursework can benefit from programs that accommodate previous learning, making degrees more accessible. Understanding options like online MBA transfer credits helps students avoid redundant courses and reduce costs.

Additionally, the rise of data-driven industries has increased the demand for specialized degrees such as a masters data analytics. This path complements mathematical skills with practical tools for interpreting large datasets, appealing to those interested in careers in technology, finance, or research.

For learners focusing on accessibility and convenience, identifying the easiest MBA to get into can be a strategic step. While “easy” is subjective, these programs typically have less stringent admission criteria, making them a practical choice for busy professionals or career changers.

Best Scientists Citing Erhan Bayraktar

Trending Scientists