M. Rostami

455 citations
16 papers · 373 · h-index 8

Impact in

Papers in

M. Rostami

15 papers receiving 351 citations

Peers

M. Rostami
Comparison fields: 5 of 54
  • Modeling and Simulation 266
  • Numerical Analysis 140
  • Applied Mathematics 125
  • Finance 117
  • Statistics, Probability and Uncertainty 62
Replace M. Khodabin with:
M. Khodabin Iran
L. Villafuerte Spain
Wilfried Grecksch Germany
Mirko D’Ovidio Italy
Peter Becker–Kern Germany
Antonio Mura Italy
Raphael Kruse Germany
Wanrong Cao China
Huaizhong Zhao United Kingdom
M. Rostami relative to M. Khodabin Iran M. Khodabin's profile →
Citations per field
00.5×1.5×
M. Khodabin · 1×
Citations per year

Countries citing papers authored by M. Rostami

Since Specialization
Citations

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

Fields of papers citing papers by M. Rostami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside M. Rostami, 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. Rostami Line = papers co-authored together M. Rostami links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201193
2 201161
3 201159
4 201150
5 201246
6 201416
7 201515
8 20157
9 20116
10 20204
11 20184
12 20174
13
Expansion method for linear Fredholm integral equations of second kind by Chebyshev, Legendre and Shannon wavelats and the comparison of their numerical results.
20083
14 20163
15 20122
16
A modification of Chebyshev-Halley method free from second derivatives for nonlinear equations
20140

About M. Rostami

M. Rostami is a scholar working on Applied Mathematics, Modeling and Simulation, Numerical Analysis, Finance and Computational Mechanics, having authored 16 papers that have together received 373 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (6 papers), Stochastic processes and financial applications (3 papers), Differential Equations and Numerical Methods (3 papers), Nonlinear Differential Equations Analysis (3 papers), Differential Equations and Boundary Problems (3 papers), Numerical methods in engineering (2 papers), Iterative Methods for Nonlinear Equations (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Modeling and Simulation (266 citations), Numerical Analysis (140 citations), Applied Mathematics (125 citations), Finance (117 citations) and Statistics, Probability and Uncertainty (62 citations). M. Rostami has collaborated with scholars based in Iran and Austria. Frequent co-authors include M. Khodabin, K. Maleknejad, Mostafa Nouri-Baygi, E. Hashemizadeh and Mohsen Adib‐Hajbaghery. Their work appears in journals such as Mathematical and Computer Modelling, Computers & Mathematics with Applications, Advances in Difference Equations, Kybernetika and Applied Mathematical Modelling.

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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