Akif D. Gadjiev

803 citations
20 papers · 572 indexed · h-index 8
Topics
Approximation Theory and Sequence Spaces (16 papers)Mathematical Approximation and Integration (10 papers)Advanced Harmonic Analysis Research (8 papers)
Partner nations
AzerbaijanTürkiye

In The Last Decade

Akif D. Gadjiev

18 papers receiving 506 citations

Peers

Akif D. Gadjiev
Comparison fields: 5 of 27
  • Statistics and Probability 540
  • Numerical Analysis 436
  • Applied Mathematics 334
  • Management Science and Operations Research 53
  • Mathematical Physics 40
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Citations per field
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Citations per year

Countries citing papers authored by Akif D. Gadjiev

Since Specialization
Citations

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

Fields of papers citing papers by Akif D. Gadjiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akif D. Gadjiev. 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 Akif D. Gadjiev. The network helps show where Akif D. Gadjiev may publish in the future.

Co-authorship network of co-authors of Akif D. Gadjiev

This figure shows the co-authorship network connecting the top 25 collaborators of Akif D. Gadjiev. A scholar is included among the top collaborators of Akif D. Gadjiev 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 Akif D. Gadjiev. Akif D. Gadjiev 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 4
2 0
3 0
4 2
5
Simultaneous Statistical Approximation of Analytic Functions and Their Derivatives by k-positive Linear Operators (pp. 57-66)
4
6 7
7 4
8 2
9 44
10
The Stein-Weiss Type Inequality for Fractional Integrals, Associated with the Laplace-Bessel Differential Operator
7
11 21
12 13
13 6
14 5
15 2
16 32
17
On Non-Existence of Korovkin's Theorem in the Space of L_{p}-locally Integrable Functions
2
18 390
19
SOME APPROXIMATION THEOREMS VIA STATISTICAL CONVERGENCE APPROXIMATION
1
20 26

About Akif D. Gadjiev

Akif D. Gadjiev is a scholar working on Numerical Analysis, Statistics and Probability and Applied Mathematics, having authored 20 papers that have together received 572 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (16 papers), Mathematical Approximation and Integration (10 papers) and Advanced Harmonic Analysis Research (8 papers). The work is most often cited by research in Numerical Analysis (436 citations), Statistics and Probability (540 citations) and Applied Mathematics (334 citations). Akif D. Gadjiev has collaborated with scholars based in Azerbaijan and Türkiye. Frequent co-authors include Cihan Orhan, Ali̇ Aral, Vagif S. Guliyev and Oktay Duman. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Computers & Mathematics with 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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