S. A. Mohiuddine
- Statistics and Probability top 0.05%
- Applied Mathematics top 0.1%
- Numerical Analysis top 0.2%
- Geometry and Topology top 0.5%
- Mathematical Physics top 2%
- Co-authors
- M. MursaleenAbdullah AlotaibiTuncer AcarBipan HazarikaFaruk ÖzgerH. M. SrivastavaOsama H.H. EdelyAli̇ Aral
- Topics
- Approximation Theory and Sequence Spaces (137 papers)Mathematical Approximation and Integration (63 papers)Advanced Harmonic Analysis Research (44 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Soft ComputingJournal of Mathematical Analysis and Applications
- Partner nations
- Saudi ArabiaIndiaTürkiye
In The Last Decade
S. A. Mohiuddine
168 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 57
- Statistics and Probability 3.1k
- Applied Mathematics 2.2k
- Numerical Analysis 2.0k
- Geometry and Topology 969
- Mathematical Physics 541
Countries citing papers authored by S. A. Mohiuddine
This map shows the geographic impact of S. A. Mohiuddine'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 S. A. Mohiuddine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Mohiuddine more than expected).
Fields of papers citing papers by S. A. Mohiuddine
This network shows the impact of papers produced by S. A. Mohiuddine. 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 S. A. Mohiuddine. The network helps show where S. A. Mohiuddine may publish in the future.
Co-authorship network of co-authors of S. A. Mohiuddine
This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Mohiuddine. A scholar is included among the top collaborators of S. A. Mohiuddine 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 S. A. Mohiuddine. S. A. Mohiuddine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | Uniform Lacunary Statistical Convergence on Time Scales | 0 |
| 8 | 20 | |
| 9 | ON LACUNARY STATISTICAL BOUNDEDNESS OF ORDER $\alpha$ | 1 |
| 10 | Application of measures of noncompactness to infinite system of linear equations in sequence spaces | 16 |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 27 | |
| 14 | 70 | |
| 15 | 21 | |
| 16 | 36 | |
| 17 | 6 | |
| 18 | 108 | |
| 19 | 123 | |
| 20 | 18 |
About S. A. Mohiuddine
S. A. Mohiuddine is a scholar working on Statistics and Probability, Numerical Analysis and Applied Mathematics, having authored 178 papers that have together received 3.8k indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (137 papers), Mathematical Approximation and Integration (63 papers) and Advanced Harmonic Analysis Research (44 papers). The work is most often cited by research in Statistics and Probability (3.1k citations), Numerical Analysis (2.0k citations) and Applied Mathematics (2.2k citations). S. A. Mohiuddine has collaborated with scholars based in Saudi Arabia, India and Türkiye. Frequent co-authors include M. Mursaleen, Abdullah Alotaibi, Tuncer Acar, Bipan Hazarika, Faruk Özger, H. M. Srivastava, Osama H.H. Edely, Ali̇ Aral, Mohammed Alghamdi and Ekrem Savaş. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Journal of Mathematical Analysis and 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.