Md. Nasiruzzaman

55 papers receiving 781 citations

Md. Nasiruzzaman's Hit Papers

Approximation by the modified $ \lambda $-Bernstein-polynomial in terms of basis function 2024 · 33 citations
330+1Years since publication102030

Peers

Md. Nasiruzzaman
Comparison fields: 5 of 59
  • Numerical Analysis 511
  • Statistics and Probability 679
  • Applied Mathematics 482
  • Management Science and Operations Research 78
  • Modeling and Simulation 25
Replace Sofiya Ostrovska with:
Sofiya Ostrovska Türkiye
Francesco Altomare Italy
Antonio Boccuto Italy
R. Bojanić United States
Jesús de la Cal Spain
Anna Rita Sambucını Italy
Bi̇lal Altay Türkiye
Yu Miao China
Neil S Barnett Australia
Kazimierz Nikodem Poland
Md. Nasiruzzaman relative to Sofiya Ostrovska Türkiye Sofiya Ostrovska's profile →
Citations per field
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Sofiya Ostrovska · 1×
Citations per year

Countries citing papers authored by Md. Nasiruzzaman

Since Specialization
Citations

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

Fields of papers citing papers by Md. Nasiruzzaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Md. Nasiruzzaman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Md. Nasiruzzaman Line = papers co-authored together Md. Nasiruzzaman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201668
2 201863
3 201555
4 201742
5
Approximation by the modified $ \lambda $-Bernstein-polynomial in terms of basis function
Hit paper breakdown →
202433
6 201931
7 201631
8 202230
9 202229
10 201723
11 201722
12 201921
13 201819
14 202119
15 202018
16 201917
17 201816
18 202115
19 201815
20 201915

About Md. Nasiruzzaman

Md. Nasiruzzaman is a scholar working on Statistics and Probability, Numerical Analysis, Applied Mathematics, Management Science and Operations Research and Computational Mechanics, having authored 60 papers that have together received 826 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (56 papers), Mathematical Approximation and Integration (41 papers), Mathematical functions and polynomials (17 papers), Iterative Methods for Nonlinear Equations (9 papers), Mathematical Analysis and Transform Methods (9 papers), Advanced Harmonic Analysis Research (7 papers), Advanced Numerical Analysis Techniques (4 papers) and Holomorphic and Operator Theory (4 papers). The work is most often cited by research in Numerical Analysis (511 citations), Statistics and Probability (679 citations), Applied Mathematics (482 citations), Management Science and Operations Research (78 citations) and Modeling and Simulation (25 citations). Md. Nasiruzzaman has collaborated with scholars based in Saudi Arabia, India and Taiwan. Frequent co-authors include M. ‎Mursaleen, Nadeem Rao, M. Mursaleen, Abdullah Alotaibi, Khursheed J‎. ‎Ansari, H. M. Srivastava, Adem Kılıçman, Asif Khan, Aiman Mukheimer and Ravi Kumar. Their work appears in journals such as Journal of Inequalities and Applications, Mathematical Methods in the Applied Sciences, Advances in Difference Equations, Journal of King Saud University - Science and Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas.

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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