World's Best Scientists 2026 revealed!
Award Badge
Mathematics
Russia
2026

D-Index & Metrics

Mathematics

D-Index
88
Citations
21599
World Ranking
90
National Ranking
1

T. E. Simos 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 T. E. Simos 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: 602 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

T. E. Simos 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 T. E. Simos 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: 88 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Mathematics in Russia Leader Award
  • 2003 - Member of the European Academy of Sciences
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

T. E. Simos is affiliated with the Ulyanovsk State Technical University in the Russian Federation. Their research focuses extensively on numerical methods, particularly in the field of computational mathematics and engineering.

The scientist's principal areas of study include:

  • Engineering
  • Mathematics
  • Computer Science

Within these broad fields, key subfields addressed by T. E. Simos are:

  • Numerical Analysis
  • Computational Mechanics
  • Computational Theory and Mathematics
  • Automotive Engineering
  • Modeling and Simulation

The research topics they have extensively explored encompass:

  • Numerical methods for differential equations
  • Advanced Numerical Methods in Computational Mathematics
  • Matrix Theory and Algorithms
  • Differential Equations and Numerical Methods
  • Fractional Differential Equations Solutions
  • Brake Systems and Friction Analysis
  • Aerodynamics and Fluid Dynamics Research

T. E. Simos has contributed to various scientific journals, with frequent publications appearing in:

  • Journal of Computational and Applied Mathematics
  • AIP conference proceedings
  • Neural Computing and Applications
  • World of transport and technological machines

Their recent papers include:

  • "On high order Runge-Kutta-Nyström pairs," 2021, Journal of Computational and Applied Mathematics
  • "A neural network training algorithm for singular perturbation boundary value problems," 2021, Neural Computing and Applications
  • "Efficiently inaccurate approximation of hyperbolic tangent used as transfer function in artificial neural networks," 2021, Neural Computing and Applications
  • "Runge-Kutta-Nyström methods of eighth order for addressing Linear Inhomogeneous problems," 2022, Journal of Computational and Applied Mathematics
  • "Symmetric seven-stages multistep perfect in phase embedded pairs (S7S2mSEMB)," 2020, AIP conference proceedings

Frequent co-authors collaborating with T. E. Simos include:

  • Ch. Tsitouras
  • Vladislav N. Kovalnogov
  • Ruslan V. Fedorov
  • M.T. Karpukhina
  • Maria I. Kornilova

In recognition of their professional contributions, T. E. Simos is a member of the European Academy of Sciences since 2003 and is also a member of the European Academy of Sciences and Arts.

Best Publications

  • A finite-difference method for the numerical solution of the Schro¨dinger equation

    T. E. Simos;P. S. Williams

  • An exponentially-fitted Runge-Kutta method for the numerical integration of initial-value problems with periodic or oscillating solutions

    T.E. Simos

  • A four-step phase-fitted method for the numerical integration of second order initial-value problems

    A. D. Raptis;T. E. Simos

  • An optimized Runge-Kutta method for the solution of orbital problems

    Z. A. Anastassi;T. E. Simos

  • A generator of hybrid symmetric four-step methods for the numerical solution of the Schrödinger equation

    A. Konguetsof;T. E. Simos

  • On finite difference methods for the solution of the Schrödinger equation

    Tom E. Simos;Paul Stefan Williams

  • Runge-Kutta methods with minimal dispersion and dissipation for problems arising from computational acoustics

    Kostas Tselios;T. E. Simos

  • Newton--Cotes formulae for long-time integration

    Z. Kalogiratou;T. E. Simos

  • New modified Runge-Kutta-Nyström methods for the numerical integration of the Schrödinger equation

    Z. Kalogiratou;Th. Monovasilis;T. E. Simos

  • High order closed Newton–Cotes trigonometrically-fitted formulae for the numerical solution of the Schrödinger equation

    T.E. Simos

  • An Optimized Symmetric 8-Step Semi-Embedded Predictor-Corrector Method for IVPs with Oscillating Solutions

    G. A. Panopoulos;T. E. Simos

  • A parametric symmetric linear four-step method for the efficient integration of the Schrödinger equation and related oscillatory problems

    Z. A. Anastassi;T. E. Simos

  • A fourth algebraic order trigonometrically fitted predictor-corrector scheme for IVPs with oscillating solutions

    G. Psihoyios;T. E. Simos

  • An optimized two-step hybrid block method for solving general second order initial-value problems

    Higinio Ramos;Z. Kalogiratou;Th. Monovasilis;T. E. Simos

  • Trigonometrically fitted predictor: corrector methods for IVPs with oscillating solutions

    G. Psihoyios;T. E. Simos

  • Closed Newton–Cotes trigonometrically-fitted formulae of high order for long-time integration of orbital problems

    T.E. Simos

  • Multiderivative methods of eighth algebraic order with minimal phase-lag for the numerical solution of the radial Schrödinger equation

    D. P. Sakas;T. E. Simos

  • New Stable Closed Newton-Cotes Trigonometrically Fitted Formulae for Long-Time Integration

    T. E. Simos

  • Construction of an optimized explicit Runge-Kutta-Nyström method for the numerical solution of oscillatory initial value problems

    A. A. Kosti;Z. A. Anastassi;T. E. Simos

  • Optimization as a function of the phase-lag order of nonlinear explicit two-step P-stable method for linear periodic IVPs

    S. Stavroyiannis;T. E. Simos

Frequent Co-Authors

Ch. Tsitouras
Ch. Tsitouras National and Kapodistrian University of Athens
Jesús Vigo-Aguiar
Jesús Vigo-Aguiar University of Salamanca
Higinio Ramos
Higinio Ramos University of Salamanca

External Links

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

Studying Mathematics in the USA opens diverse career pathways, many of which can be enhanced by pursuing related online degrees. For instance, professionals aiming to strengthen their business acumen alongside mathematical skills may consider an online MBA transfer credits program. These flexible options allow students to build on previous coursework, accelerating their journey toward an MBA.

For those interested in the growing field of big data, a master in data analytics offers a natural extension of a mathematics background. This advanced degree equips students with the tools to analyze complex datasets, driving decision-making in industries from finance to healthcare.

It’s worth noting that options such as the easiest MBA programs to get into can provide a more accessible entry point for those balancing work and studies. Coupled with the appeal of flexibility, some also explore the easiest online MBA degree options, which combine affordability with convenience.

Overall, integrating mathematical expertise with business and data analytics degrees enhances career flexibility and opens doors to leadership roles in numerous sectors.

Best Scientists Citing T. E. Simos

Trending Scientists

Recently Published Articles