World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
6695
World Ranking
1713
National Ranking
14

Khosrow Maleknejad 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 Khosrow Maleknejad 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: 215 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Khosrow Maleknejad 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 Khosrow Maleknejad 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: 43 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Khosrow Maleknejad is affiliated with the Iran University of Science and Technology in Iran and specializes in mathematics, particularly numerical analysis and related subfields. Their research contributions span several areas including numerical solutions for fractional differential equations, iterative methods for nonlinear equations, and mathematical modeling and simulation.

The main fields of study for Khosrow Maleknejad include:

  • Mathematics

Key subfields of study encompass:

  • Numerical Analysis
  • Modeling and Simulation
  • Applied Mathematics
  • Atomic and Molecular Physics, and Optics
  • Statistical and Nonlinear Physics

The prominent topics addressed in their work cover:

  • Fractional Differential Equations Solutions
  • Iterative Methods for Nonlinear Equations
  • Differential Equations and Numerical Methods
  • Mathematical functions and polynomials
  • Numerical methods for differential equations
  • Electromagnetic Scattering and Analysis
  • Nonlinear Differential Equations Analysis

Khosrow Maleknejad has published extensively, with selected recent papers including:

  • Numerical solutions of distributed order fractional differential equations in the time domain using the Müntz-Legendre wavelets approach, 2020, Numerical Methods for Partial Differential Equations
  • A new and efficient numerical method based on shifted fractional-order Jacobi operational matrices for solving some classes of two-dimensional nonlinear fractional integral equations, 2021, Numerical Methods for Partial Differential Equations
  • Comparison of Two Hybrid Functions for Numerical Solution of Nonlinear Mixed Partial Integro-Differential Equations, 2022, Iranian Journal of Science and Technology Transactions A Science
  • The Solution of the Nonlinear Mixed Partial Integro-differential Equation via Two-Dimensional Hybrid Functions, 2022, Mediterranean Journal of Mathematics
  • A novel operational vector for solving the general form of distributed order fractional differential equations in the time domain based on the second kind Chebyshev wavelets, 2021, Numerical Algorithms

Frequent co-authors in their collaborations include:

  • Jalil Rashidinia
  • Tahereh Eftekhari
  • Yaser Rostami
  • R. Ezzati
  • Hamed Shahi Kalalagh

Khosrow Maleknejad's work has been published repeatedly in several journals, with multiple contributions to:

  • International Journal of Computer Mathematics
  • Iranian Journal of Science and Technology Transactions A Science
  • Numerical Methods for Partial Differential Equations
  • Mediterranean Journal of Mathematics
  • Computational and Applied Mathematics

Best Publications

  • Taylor polynomial solution of high-order nonlinear Volterra-Fredholm integro-differential equations

    K. Maleknejad;Y. Mahmoudi

  • A new computational method for Volterra-Fredholm integral equations

    K. Maleknejad;M. Hadizadeh

  • Numerical solution of stochastic Volterra integral equations by a stochastic operational matrix based on block pulse functions

    Khosrow Maleknejad;Morteza Khodabin;M. Rostami

  • Solving linear integro-differential equations system by using rationalized Haar functions method

    K. Maleknejad;F. Mirzaee;S. Abbasbandy

  • NUMERICAL SOLUTION OF INTEGRAL EQUATIONS SYSTEM OF THE SECOND KIND BY BLOCK-PULSE FUNCTIONS

    Khosrow Maleknejad;M. Shahrezaee;H. Khatami

  • Numerical solution of linear Fredholm integral equation by using hybrid Taylor and Block-Pulse functions

    K. Maleknejad;Y. Mahmoudi

  • Triangular functions (TF) method for the solution of nonlinear Volterra–Fredholm integral equations

    K. Maleknejad;H. Almasieh;M. Roodaki

  • A new approach to the numerical solution of Volterra integral equations by using Bernstein’s approximation

    K. Maleknejad;E. Hashemizadeh;R. Ezzati

  • Using rationalized Haar wavelet for solving linear integral equations

    K. Maleknejad;F. Mirzaee

  • Computational method based on Bernstein operational matrices for nonlinear Volterra–Fredholm–Hammerstein integral equations

    K. Maleknejad;E. Hashemizadeh;B. Basirat

  • Numerical solution of Volterra integral equations of the second kind with convolution kernel by using Taylor-series expansion method

    K. Maleknejad;N. Aghazadeh

  • A numerical method for solving m-dimensional stochastic Itô-Volterra integral equations by stochastic operational matrix

    K. Maleknejad;M. Khodabin;M. Rostami

  • Numerical solution of nonlinear Volterra integral equations of the second kind by using Chebyshev polynomials

    Khosrow Maleknejad;Saeed Sohrabi;Yasser Rostami

  • A Bernstein operational matrix approach for solving a system of high order linear Volterra–Fredholm integro-differential equations

    Khosrow Maleknejad;Behrooz Basirat;Elham Hashemizadeh

  • Numerical computational solution of the Volterra integral equations system of the second kind by using an expansion method

    M. Rabbani;K. Maleknejad;N. Aghazadeh

  • Numerical solution of Fredholm integral equations of the first kind by using Legendre wavelets

    Khosrow Maleknejad;Saeed Sohrabi

  • Solving linear integro-differential equation system by Galerkin methods with hybrid functions

    K. Maleknejad;M.Tavassoli Kajani

  • Solving second kind integral equations by Galerkin methods with hybrid Legendre and Block-Pulse functions

    K. Maleknejad;M. Tavassoli Kajani

  • Numerical approach for solving stochastic Volterra-Fredholm integral equations by stochastic operational matrix

    M. Khodabin;K. Maleknejad;M. Rostami;M. Nouri

  • Hybrid Legendre polynomials and Block-Pulse functions approach for nonlinear Volterra-Fredholm integro-differential equations

    K. Maleknejad;B. Basirat;E. Hashemizadeh

  • Numerical solution of linear Fredholm and volterra integral equation of the second kind by using Legendre wavelets

    K. Maleknejad;M. Tavassoli Kajani;Y. Mahmoudi

Frequent Co-Authors

Farshid Mirzaee
Farshid Mirzaee Malayer University
Esmail Babolian
Esmail Babolian Kharazmi University
Saeid Abbasbandy
Saeid Abbasbandy Imam Khomeini International University
Stefan A. Sauter
Stefan A. Sauter University of Zurich

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