M. Matinfar

692 citations
73 papers · 538 · h-index 14

Impact in

Papers in

    • Fractional Differential Equations Solutions 42
    • Iterative Methods for Nonlinear Equations 25
    • Differential Equations and Numerical Methods 15
    • Numerical methods for differential equations 11

M. Matinfar

63 papers receiving 504 citations

Peers

M. Matinfar
Comparison fields: 5 of 65
  • Modeling and Simulation 254
  • Numerical Analysis 129
  • Statistical and Nonlinear Physics 259
  • Statistics and Probability 56
  • Applied Mathematics 62
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Citations per field
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Citations per year

Countries citing papers authored by M. Matinfar

Since Specialization
Citations

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

Fields of papers citing papers by M. Matinfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M. Matinfar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Matinfar Line = papers co-authored together M. Matinfar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 202039
3 200538
4 201526
5 202124
6 200818
7 201517
8 200417
9 202417
10 201316
11 202015
12
SOLVING FUZZY LINEAR SYSTEM OF EQUATIONS BY USING HOUSEHOLDER DECOMPOSITION METHOD
200814
13 201113
14 201313
15 201413
16 200612
17
Application of Homotopy analysis method to fourth-order parabolic partial differential equations
20109
18 20139
19 20089
20 20189

About M. Matinfar

M. Matinfar is a scholar working on Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics, Mechanics of Materials and Applied Mathematics, having authored 73 papers that have together received 538 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (42 papers), Iterative Methods for Nonlinear Equations (25 papers), Nonlinear Waves and Solitons (19 papers), Differential Equations and Numerical Methods (15 papers), Numerical methods for differential equations (11 papers), Nonlinear Photonic Systems (10 papers), Numerical methods in engineering (10 papers) and Fuzzy Systems and Optimization (7 papers). The work is most often cited by research in Modeling and Simulation (254 citations), Numerical Analysis (129 citations), Statistical and Nonlinear Physics (259 citations), Statistics and Probability (56 citations) and Applied Mathematics (62 citations). M. Matinfar has collaborated with scholars based in Iran, Canada and Taiwan. Frequent co-authors include K. Hosseini, Mohammad Mirzazadeh, Mostafa Eslami, Keyvan Hashtrudi-Zaad, M. Ghanbari, Hamid Abrishami Moghaddam, Hadi Rezazadeh, Mohammad Karim Sohrabi, S. H. Nasseri and J. F. Gómez‐Aguilar. Their work appears in journals such as Optical and Quantum Electronics, International Journal of Nonlinear Sciences and Numerical Simulation, Alexandria Engineering Journal, Journal of Intelligent & Fuzzy Systems and International Journal of Numerical Methods for Heat & Fluid Flow.

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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