M.R. Eslahchi

1.1k total citations
67 papers, 871 citations indexed

About

M.R. Eslahchi is a scholar working on Numerical Analysis, Applied Mathematics and Modeling and Simulation. According to data from OpenAlex, M.R. Eslahchi has authored 67 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Numerical Analysis, 36 papers in Applied Mathematics and 28 papers in Modeling and Simulation. Recurrent topics in M.R. Eslahchi's work include Iterative Methods for Nonlinear Equations (29 papers), Mathematical functions and polynomials (27 papers) and Fractional Differential Equations Solutions (23 papers). M.R. Eslahchi is often cited by papers focused on Iterative Methods for Nonlinear Equations (29 papers), Mathematical functions and polynomials (27 papers) and Fractional Differential Equations Solutions (23 papers). M.R. Eslahchi collaborates with scholars based in Iran, Germany and Austria. M.R. Eslahchi's co-authors include Mehdi Dehghan, Maryam Parvizi, Mohammad Masjed‐Jamei, E. Babolian, Mansoor Rezghi, Amirreza Khodadadian, Rezvan Salehi, Masoud Tabari, Delfim F. M. Torres and Shiva Borzouei and has published in prestigious journals such as Journal of Computational Physics, Chaos Solitons & Fractals and Applied Mathematics and Computation.

In The Last Decade

M.R. Eslahchi

61 papers receiving 824 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.R. Eslahchi Iran 16 564 530 296 115 108 67 871
Boying Wu China 20 567 1.0× 559 1.1× 242 0.8× 202 1.8× 113 1.0× 65 1.0k
Pedro M. Lima Portugal 19 827 1.5× 840 1.6× 431 1.5× 155 1.3× 72 0.7× 86 1.2k
K. Sayevand Iran 19 642 1.1× 807 1.5× 223 0.8× 127 1.1× 45 0.4× 81 1.1k
Nasrin Samadyar Iran 29 662 1.2× 1.1k 2.1× 371 1.3× 215 1.9× 114 1.1× 41 1.4k
Fakhrodin Mohammadi Iran 18 651 1.2× 966 1.8× 258 0.9× 141 1.2× 85 0.8× 49 1.2k
Xian‐Ming Gu China 17 652 1.2× 607 1.1× 110 0.4× 150 1.3× 109 1.0× 81 1.0k
Hojatollah Adibi Iran 20 354 0.6× 493 0.9× 156 0.5× 430 3.7× 160 1.5× 66 1.0k
A‎. ‎K‎. Alomari Jordan 18 513 0.9× 870 1.6× 159 0.5× 54 0.5× 115 1.1× 87 1.1k
Hossein Aminikhah Iran 20 670 1.2× 1.0k 2.0× 199 0.7× 132 1.1× 73 0.7× 112 1.3k
Zeyad Al–Zhour Saudi Arabia 19 656 1.2× 1.1k 2.2× 416 1.4× 89 0.8× 39 0.4× 53 1.4k

Countries citing papers authored by M.R. Eslahchi

Since Specialization
Citations

This map shows the geographic impact of M.R. Eslahchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M.R. Eslahchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.R. Eslahchi more than expected).

Fields of papers citing papers by M.R. Eslahchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.R. Eslahchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M.R. Eslahchi. The network helps show where M.R. Eslahchi may publish in the future.

Co-authorship network of co-authors of M.R. Eslahchi

This figure shows the co-authorship network connecting the top 25 collaborators of M.R. Eslahchi. A scholar is included among the top collaborators of M.R. Eslahchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.R. Eslahchi. M.R. Eslahchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eslahchi, M.R., et al.. (2023). Numerical convergence and stability analysis for a nonlinear mathematical model of prostate cancer. Numerical Methods for Partial Differential Equations. 39(4). 3064–3088. 2 indexed citations
2.
Eslahchi, M.R., et al.. (2023). Some improved Dai–Yuan conjugate gradient methods for large-scale unconstrained optimization problems. Journal of Applied Mathematics and Computing. 69(6). 4213–4228.
3.
Eslahchi, M.R., et al.. (2022). A Five-Parameter Class of Derivative-Free Spectral Conjugate Gradient Methods for Systems of Large-Scale Nonlinear Monotone Equations. International Journal of Computational Methods. 19(9). 1 indexed citations
4.
Eslahchi, M.R., et al.. (2022). A new PDE learning model for image denoising. Neural Computing and Applications. 34(11). 8551–8574. 6 indexed citations
5.
Eslahchi, M.R., et al.. (2021). Image denoising by a novel variable‐order total fractional variation model. Mathematical Methods in the Applied Sciences. 44(8). 7250–7261. 13 indexed citations
6.
Parvizi, Maryam, Amirreza Khodadadian, & M.R. Eslahchi. (2021). A mixed finite element method for solving coupled wave equation of Kirchhoff type with nonlinear boundary damping and memory term. Mathematical Methods in the Applied Sciences. 44(17). 12500–12521. 5 indexed citations
7.
Eslahchi, M.R., et al.. (2020). Optimal control for a nonlinear stochastic parabolic model of population competition. Optimization. 70(11). 2357–2386. 1 indexed citations
8.
Parvizi, Maryam, Amirreza Khodadadian, & M.R. Eslahchi. (2020). Analysis of Ciarlet–Raviart mixed finite element methods for solving damped Boussinesq equation. Journal of Computational and Applied Mathematics. 379. 112818–112818. 22 indexed citations
9.
Eslahchi, M.R., et al.. (2020). Global convergence of a new sufficient descent spectral three-term conjugate gradient class for large-scale optimization. Optimization methods & software. 37(3). 830–843. 4 indexed citations
10.
Eslahchi, M.R., et al.. (2019). Extension of Tikhonov regularization method using linear fractional programming. Journal of Computational and Applied Mathematics. 371. 112677–112677. 9 indexed citations
11.
12.
Eslahchi, M.R., et al.. (2019). Two families of scaled three-term conjugate gradient methods with sufficient descent property for nonconvex optimization. Numerical Algorithms. 83(3). 901–933. 18 indexed citations
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15.
Parvizi, Maryam & M.R. Eslahchi. (2017). A numerical method based on extended Raviart–Thomas (ER‐T) mixed finite element method for solving damped Boussinesq equation. Mathematical Methods in the Applied Sciences. 40(16). 5906–5924. 4 indexed citations
16.
Dehghan, Mehdi, et al.. (2017). Generalized Bessel functions: Theory and their applications. Mathematical Methods in the Applied Sciences. 40(18). 6389–6410. 11 indexed citations
17.
Eslahchi, M.R., et al.. (2015). A modified spectral method for solving operator equations. Journal of Computational and Applied Mathematics. 292. 105–135. 3 indexed citations
18.
Dehghan, Mehdi, et al.. (2012). A technique for the numerical solution of initial-value problems based on a class of Birkhoff-type interpolation method. Journal of Computational and Applied Mathematics. 244. 125–139. 27 indexed citations
19.
Eslahchi, M.R., et al.. (2011). The general Jacobi matrix method for solving some nonlinear ordinary differential equations. Applied Mathematical Modelling. 36(8). 3387–3398. 34 indexed citations
20.
Eslahchi, M.R., et al.. (2011). The third and fourth kinds of Chebyshev polynomials and best uniform approximation. Mathematical and Computer Modelling. 55(5-6). 1746–1762. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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