Naim L. Braha
- Statistics and Probability top 0.5%
- Numerical Analysis top 2%
- Applied Mathematics top 2%
- Mathematical Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- H. M. SrivastavaToufik MansourS. A. MohiuddineUğur KadakM. MursaleenFeyzı BaşarMikâil EtTuncer Acar
- Topics
- Approximation Theory and Sequence Spaces (54 papers)Mathematical Approximation and Integration (26 papers)Advanced Harmonic Analysis Research (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsApplied Mathematics and Computation
In The Last Decade
Naim L. Braha
55 papers receiving 509 citations
Peers
Comparison fields: 5 of 20
- Statistics and Probability 509
- Numerical Analysis 367
- Applied Mathematics 332
- Mathematical Physics 98
- Management Science and Operations Research 45
Countries citing papers authored by Naim L. Braha
This map shows the geographic impact of Naim L. Braha'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 Naim L. Braha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naim L. Braha more than expected).
Fields of papers citing papers by Naim L. Braha
This network shows the impact of papers produced by Naim L. Braha. 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 Naim L. Braha. The network helps show where Naim L. Braha may publish in the future.
Co-authorship network of co-authors of Naim L. Braha
This figure shows the co-authorship network connecting the top 25 collaborators of Naim L. Braha. A scholar is included among the top collaborators of Naim L. Braha 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 Naim L. Braha. Naim L. Braha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 23 | |
| 17 | Tauberian Theorems by Weighted Summability Method | 1 |
| 18 | 18 | |
| 19 | 6 | |
| 20 | Some properties of paranormal and hyponormal operators | 9 |
About Naim L. Braha
Naim L. Braha is a scholar working on Statistics and Probability, Numerical Analysis and Applied Mathematics, having authored 64 papers that have together received 540 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (54 papers), Mathematical Approximation and Integration (26 papers) and Advanced Harmonic Analysis Research (17 papers). The work is most often cited by research in Numerical Analysis (367 citations), Statistics and Probability (509 citations) and Applied Mathematics (332 citations). Naim L. Braha has collaborated with scholars based in Kosovo, Türkiye and Taiwan. Frequent co-authors include H. M. Srivastava, Toufik Mansour, S. A. Mohiuddine, Uğur Kadak, M. Mursaleen, Feyzı Başar, Mikâil Et, Tuncer Acar, Ayhan Eşi and Binod Chandra Tripathy. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.