Naim L. Braha

764 total citations
64 papers, 540 citations indexed

About

Naim L. Braha is a scholar working on Statistics and Probability, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Naim L. Braha has authored 64 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 40 papers in Applied Mathematics and 31 papers in Numerical Analysis. Recurrent topics in Naim L. Braha's work include Approximation Theory and Sequence Spaces (54 papers), Mathematical Approximation and Integration (26 papers) and Advanced Harmonic Analysis Research (17 papers). Naim L. Braha is often cited by papers focused on Approximation Theory and Sequence Spaces (54 papers), Mathematical Approximation and Integration (26 papers) and Advanced Harmonic Analysis Research (17 papers). Naim L. Braha collaborates with scholars based in Kosovo, Türkiye and Taiwan. Naim L. Braha's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Naim L. Braha

55 papers receiving 509 citations

Peers

Naim L. Braha
Comparison fields: 5 of 20
  • Statistics and Probability 509
  • Numerical Analysis 367
  • Applied Mathematics 332
  • Mathematical Physics 98
  • Management Science and Operations Research 45
Replace Akif D. Gadjiev with:
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Mircea Ivan Romania
Osama H.H. Edely India
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Akif D. Gadjiev Azerbaijan View profile →
Citations per field, relative to Naim L. Braha
Naim L. Braha · 1×
Citations per year, relative to Naim L. Braha
Naim L. Braha · 1×

Countries citing papers authored by Naim L. Braha

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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