R.M. Ganji

910 total citations
22 papers, 784 citations indexed

About

R.M. Ganji is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, R.M. Ganji has authored 22 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Modeling and Simulation, 18 papers in Numerical Analysis and 10 papers in Applied Mathematics. Recurrent topics in R.M. Ganji's work include Fractional Differential Equations Solutions (21 papers), Iterative Methods for Nonlinear Equations (10 papers) and Nonlinear Differential Equations Analysis (9 papers). R.M. Ganji is often cited by papers focused on Fractional Differential Equations Solutions (21 papers), Iterative Methods for Nonlinear Equations (10 papers) and Nonlinear Differential Equations Analysis (9 papers). R.M. Ganji collaborates with scholars based in Iran, South Africa and Taiwan. R.M. Ganji's co-authors include Hossein Jafari, Dumitru Bǎleanu, Nguyen Huy Tuan, Somayeh Nemati, Ardeshir Karami Mohammadi, Nguyễn Anh Tuấn, Yu-Pei Lv, Seithuti P. Moshokoa, K. Sayevand and Haleh Tajadodi and has published in prestigious journals such as Chaos Solitons & Fractals, Journal of Computational and Applied Mathematics and Alexandria Engineering Journal.

In The Last Decade

R.M. Ganji

22 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.M. Ganji Iran 15 703 450 252 176 80 22 784
Hammad Khalil Pakistan 15 616 0.9× 356 0.8× 319 1.3× 168 1.0× 51 0.6× 35 754
Adel A. El‐Sayed Egypt 14 507 0.7× 324 0.7× 195 0.8× 174 1.0× 88 1.1× 22 674
Bohdan Datsko Ukraine 15 639 0.9× 273 0.6× 274 1.1× 146 0.8× 94 1.2× 35 781
Mohammad Javidi Iran 14 501 0.7× 352 0.8× 205 0.8× 105 0.6× 43 0.5× 48 606
Haleh Tajadodi Iran 15 631 0.9× 360 0.8× 210 0.8× 301 1.7× 61 0.8× 37 718
V. F. Morales‐Delgado Mexico 15 774 1.1× 314 0.7× 242 1.0× 253 1.4× 184 2.3× 22 898
Mohammad Ali Fariborzi Araghi Iran 15 491 0.7× 280 0.6× 207 0.8× 92 0.5× 76 0.9× 81 706
Sushila Rathore India 9 505 0.7× 276 0.6× 150 0.6× 199 1.1× 39 0.5× 19 568
Yu. Luchko Germany 6 508 0.7× 271 0.6× 133 0.5× 101 0.6× 97 1.2× 8 602
M.A. Taneco-Hernández Mexico 15 542 0.8× 210 0.5× 159 0.6× 181 1.0× 143 1.8× 29 638

Countries citing papers authored by R.M. Ganji

Since Specialization
Citations

This map shows the geographic impact of R.M. Ganji'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 R.M. Ganji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.M. Ganji more than expected).

Fields of papers citing papers by R.M. Ganji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M. Ganji. 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 R.M. Ganji. The network helps show where R.M. Ganji may publish in the future.

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

This figure shows the co-authorship network connecting the top 25 collaborators of R.M. Ganji. A scholar is included among the top collaborators of R.M. Ganji 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 R.M. Ganji. R.M. Ganji 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.
Sayevand, K., et al.. (2024). A reliable numerical algorithm mixed with hypergeometric function for analyzing fractional variational problems. Numerical Algorithms. 98(4). 2081–2112. 11 indexed citations
2.
Jafari, Hossein, et al.. (2024). A mixed-method to numerical simulation of variable order stochastic advection diffusion equations. Alexandria Engineering Journal. 89. 60–70. 6 indexed citations
3.
Jafari, Hossein, et al.. (2023). APPLICATION OF HOSOYA POLYNOMIAL TO SOLVE A CLASS OF TIME-FRACTIONAL DIFFUSION EQUATIONS. Fractals. 31(4). 20 indexed citations
4.
Zhou, Ping, et al.. (2023). Numerical study for a class of time fractional diffusion equations using operational matrices based on Hosoya polynomial. Electronic Research Archive. 31(8). 4530–4548. 4 indexed citations
5.
Jafari, Hossein, et al.. (2023). A numerical study of the Van der Pol model derived by the Caputo–Fabrizio operator. AIP Advances. 13(8). 5 indexed citations
6.
Jafari, Hossein, Somayeh Nemati, & R.M. Ganji. (2021). Operational matrices based on the shifted fifth-kind Chebyshev polynomials for solving nonlinear variable order integro-differential equations. Advances in Difference Equations. 2021(1). 435–435. 10 indexed citations
7.
Jafari, Hossein, et al.. (2021). A numerical solution of variable order diffusion and wave equations. International journal of nonlinear analysis and applications. 12(1). 27–36. 6 indexed citations
8.
Ganji, R.M., et al.. (2021). A mathematical model and numerical solution for brain tumor derived using fractional operator. Results in Physics. 28. 104671–104671. 59 indexed citations
9.
Ganji, R.M., et al.. (2021). Numerical solutions of time-fractional Klein-Gordon equations by clique polynomials. Alexandria Engineering Journal. 60(5). 4563–4571. 68 indexed citations
10.
Jafari, Hossein, et al.. (2021). A numerical study of fractional order population dynamics model. Results in Physics. 27. 104456–104456. 63 indexed citations
11.
Ganji, R.M., et al.. (2021). NUMERICAL SOLUTION OF DISTRIBUTED ORDER INTEGRO-DIFFERENTIAL EQUATIONS. Fractals. 30(5). 21 indexed citations
12.
Jafari, Hossein, R.M. Ganji, K. Sayevand, & Dumitru Bǎleanu. (2021). A numerical approach for solving fractional optimal control problems with mittag-leffler kernel. Journal of Vibration and Control. 28(19-20). 2596–2606. 49 indexed citations
13.
Tuan, Nguyen Huy, R.M. Ganji, & Hossein Jafari. (2020). A numerical study of fractional rheological models and fractional Newell-Whitehead-Segel equation with non-local and non-singular kernel. Chinese Journal of Physics. 68. 308–320. 82 indexed citations
14.
Ganji, R.M., Hossein Jafari, & Somayeh Nemati. (2020). A new approach for solving integro-differential equations of variable order. Journal of Computational and Applied Mathematics. 379. 112946–112946. 54 indexed citations
15.
Jafari, Hossein, Nguyễn Anh Tuấn, & R.M. Ganji. (2020). A new numerical scheme for solving pantograph type nonlinear fractional integro-differential equations. Journal of King Saud University - Science. 33(1). 101185–101185. 47 indexed citations
16.
Tuan, Nguyen Huy, Somayeh Nemati, R.M. Ganji, & Hossein Jafari. (2020). Numerical solution of multi-variable order fractional integro-differential equations using the Bernstein polynomials. Engineering With Computers. 38(S1). 139–147. 26 indexed citations
17.
18.
Ganji, R.M. & Hossein Jafari. (2019). A Numerical Approach for Multi-variable Orders Differential Equations Using Jacobi Polynomials. International Journal of Applied and Computational Mathematics. 5(2). 31 indexed citations
19.
Ganji, R.M., Hossein Jafari, & Dumitru Bǎleanu. (2019). A new approach for solving multi variable orders differential equations with Mittag–Leffler kernel. Chaos Solitons & Fractals. 130. 109405–109405. 133 indexed citations
20.
Jafari, Hossein, Haleh Tajadodi, & R.M. Ganji. (2019). A numerical approach for solving variable order differential equations based on Bernstein polynomials. Computational and Mathematical Methods. 1(5). 29 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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