Sadia Arshad

1.3k citations
51 papers · 1.0k indexed · h-index 18
Topics
Fractional Differential Equations Solutions (28 papers)Nonlinear Differential Equations Analysis (14 papers)Differential Equations and Numerical Methods (12 papers)
Partner nations
PakistanChinaRomania

In The Last Decade

Sadia Arshad

44 papers receiving 968 citations

Peers

Sadia Arshad
Comparison fields: 5 of 108
  • Modeling and Simulation 777
  • Applied Mathematics 441
  • Statistics and Probability 281
  • Numerical Analysis 220
  • Public Health, Environmental and Occupational Health 220
Replace Mohammad Ali Fariborzi Araghi with:
Mohammad Ali Fariborzi Araghi Iran
Zareen A. Khan Saudi Arabia
Valentina V. Tarasova Russia
Federico Polito Italy
Mohammed Zakarya Saudi Arabia
Pshtiwan Othman Mohammed Iraq
Ercan Çelık Türkiye
Mehmet Merdan Türkiye
Hossein Hassani Iran
J. Vasundhara Devi United States
Sadia Arshad relative to Mohammad Ali Fariborzi Araghi Iran Mohammad Ali Fariborzi Araghi's profile →
Citations per field
00.5×5.8×
Mohammad Ali Fariborzi Araghi · 1×
Citations per year

Countries citing papers authored by Sadia Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Sadia Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadia Arshad

This figure shows the co-authorship network connecting the top 25 collaborators of Sadia Arshad. A scholar is included among the top collaborators of Sadia Arshad 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 Sadia Arshad. Sadia Arshad 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 0
2 1
3 0
4 1
5 1
6 12
7 62
8 20
9 5
10 171
11 28
12 1
13 14
14 6
15 18
16
On a class of controlled functional differential inclusions
2
17 17
18 86
19
Fractional differential equation with the fuzzy initial condition
17
20 4

About Sadia Arshad

Sadia Arshad is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (28 papers), Nonlinear Differential Equations Analysis (14 papers) and Differential Equations and Numerical Methods (12 papers). The work is most often cited by research in Modeling and Simulation (777 citations), Applied Mathematics (441 citations) and Numerical Analysis (220 citations). Sadia Arshad has collaborated with scholars based in Pakistan, China and Romania. Frequent co-authors include Vasile Lupulescu, Dumitru Bǎleanu, Amin Jajarmi, Yifa Tang, Jianfei Huang, Donal O’Regan, Ravi P. Agarwal, Özlem Defterli, M. M. Qurashi and Muhammad Hafeez. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Physica A Statistical Mechanics and its Applications.

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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