Fatemeh Shakeri

2.4k citations
42 papers · 2.1k indexed · h-index 22
Topics
Fractional Differential Equations Solutions (16 papers)Differential Equations and Numerical Methods (12 papers)Iterative Methods for Nonlinear Equations (9 papers)
Partner nations
IranRussiaItaly

In The Last Decade

Fatemeh Shakeri

41 papers receiving 2.0k citations

Peers

Fatemeh Shakeri
Comparison fields: 5 of 104
  • Modeling and Simulation 1.6k
  • Numerical Analysis 1.3k
  • Statistical and Nonlinear Physics 659
  • Mechanics of Materials 418
  • Applied Mathematics 242
Replace Jun‐Sheng Duan with:
Jun‐Sheng Duan China
A. Golbabai Iran
Turgut Öziş Türkiye
Jalil Rashidinia Iran
Mehdi Tatari Iran
Mohsen Zayernouri United States
Sirajul Haq Pakistan
Manoj Kumar India
Jafar Biazar Iran
Akbar Mohebbi Iran
Fatemeh Shakeri relative to Jun‐Sheng Duan China Jun‐Sheng Duan's profile →
Citations per field
00.5×1.6×
Jun‐Sheng Duan · 1×
Citations per year

Countries citing papers authored by Fatemeh Shakeri

Since Specialization
Citations

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

Fields of papers citing papers by Fatemeh Shakeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatemeh Shakeri

This figure shows the co-authorship network connecting the top 25 collaborators of Fatemeh Shakeri. A scholar is included among the top collaborators of Fatemeh Shakeri 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 Fatemeh Shakeri. Fatemeh Shakeri 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
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 2
6 8
7 6
8 1
9 8
10 4
11 37
12 36
13 65
14 75
15 105
16 62
17 52
18 88
19 85
20 205

About Fatemeh Shakeri

Fatemeh Shakeri is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Mathematics, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (16 papers), Differential Equations and Numerical Methods (12 papers) and Iterative Methods for Nonlinear Equations (9 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Numerical Analysis (1.3k citations) and Statistical and Nonlinear Physics (659 citations). Fatemeh Shakeri has collaborated with scholars based in Iran, Russia and Italy. Frequent co-authors include Mehdi Dehghan, Shahryar Shakeri, D.D. Ganji, Maziyar Jalaal, Samira Ghafoori, Mohammadreza Azimi, Antonio Dario Troise, Alberto Fiore, Sina Haghanifar and Payam Khazaeli. Their work appears in journals such as Journal of Food Science, Computers & Mathematics with Applications and Nonlinear Dynamics.

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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