Č. V. Stanojević

468 citations
40 papers · 352 indexed · h-index 12
Topics
Approximation Theory and Sequence Spaces (20 papers)Advanced Harmonic Analysis Research (19 papers)Differential Equations and Boundary Problems (17 papers)
Partner nations
United States

In The Last Decade

Č. V. Stanojević

35 papers receiving 219 citations

Peers

Č. V. Stanojević
Comparison fields: 5 of 29
  • Applied Mathematics 262
  • Statistics and Probability 228
  • Numerical Analysis 76
  • Mathematical Physics 76
  • Geometry and Topology 28
Replace V. I. Danchenko with:
V. I. Danchenko Russia
С. В. Асташкин Russia
Gord Sinnamon Canada
Dumitru Popa Romania
Idris Assani United States
Péter Kórus Hungary
E. M. Dyn’kin Israel
Margareta Heilmann Germany
R. Salem United States
Bidu Bhusan Jena India
Č. V. Stanojević relative to V. I. Danchenko Russia V. I. Danchenko's profile →
Citations per field
00.5×4.7×
V. I. Danchenko · 1×
Citations per year

Countries citing papers authored by Č. V. Stanojević

Since Specialization
Citations

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

Fields of papers citing papers by Č. V. Stanojević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Č. V. Stanojević. 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 Č. V. Stanojević. The network helps show where Č. V. Stanojević may publish in the future.

Co-authorship network of co-authors of Č. V. Stanojević

This figure shows the co-authorship network connecting the top 25 collaborators of Č. V. Stanojević. A scholar is included among the top collaborators of Č. V. Stanojević 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 Č. V. Stanojević. Č. V. Stanojević 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 19
2 19
3
Fourier analysis : analytic and geometric aspects
8
4 6
5 10
6 7
7 4
8 1
9 17
10 13
11 4
12 9
13 14
14 0
15 17
16 22
17 0
18 14
19 1
20 2

About Č. V. Stanojević

Č. V. Stanojević is a scholar working on Applied Mathematics, Statistics and Probability and Mathematical Physics, having authored 40 papers that have together received 352 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (20 papers), Advanced Harmonic Analysis Research (19 papers) and Differential Equations and Boundary Problems (17 papers). The work is most often cited by research in Statistics and Probability (228 citations), Applied Mathematics (262 citations) and Numerical Analysis (76 citations). Č. V. Stanojević has collaborated with scholars based in United States. Frequent co-authors include John W. Garrett, R. Bojanić, John C. Kieffer and Andreas Blass. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Bulletin of the American Mathematical Society.

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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