N. N. Kalitkin

535 citations
95 papers · 358 indexed · h-index 8
Topics
Numerical methods for differential equations (17 papers)Differential Equations and Numerical Methods (14 papers)Matrix Theory and Algorithms (13 papers)
Partner nations
RussiaTajikistan

In The Last Decade

N. N. Kalitkin

75 papers receiving 313 citations

Peers

N. N. Kalitkin
Comparison fields: 5 of 57
  • Numerical Analysis 153
  • Computational Mechanics 105
  • Atomic and Molecular Physics, and Optics 65
  • Applied Mathematics 60
  • Computational Theory and Mathematics 52
Replace Javier Sanz with:
Javier Sanz Spain
Е. В. Чижонков Russia
V. A. Kozlov Sweden
James S. Warsa United States
Pascal Omnès France
В. А. Байков Russia
M. V. Fedoryuk Russia
Beatrice Pelloni United Kingdom
Andreĭ Nikolaevich Tikhonov Russia
N. N. Kalitkin relative to Javier Sanz Spain Javier Sanz's profile →
Citations per field
00.5×1.5×2.3×
Javier Sanz · 1×
Citations per year

Countries citing papers authored by N. N. Kalitkin

Since Specialization
Citations

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

Fields of papers citing papers by N. N. Kalitkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. N. Kalitkin

This figure shows the co-authorship network connecting the top 25 collaborators of N. N. Kalitkin. A scholar is included among the top collaborators of N. N. Kalitkin 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 N. N. Kalitkin. N. N. Kalitkin 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 3
2 0
3 4
4 2
5 1
6 7
7 2
8 2
9 4
10 13
11 6
12 5
13
Precision wide-range Hugoniot curves of metals
1
14
Copper as a shockwave standard
1
15
Electron transport in a nondegenerate dense plasma
1
16
Shock adiabats for ultrahigh pressures
10
17
Quantum-statistical equation of state
3
18
Impulsive radiating discharges in inert gases
0
19 4
20 2

About N. N. Kalitkin

N. N. Kalitkin is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Mathematical Physics, having authored 95 papers that have together received 358 indexed citations. Recurring topics across this work include Numerical methods for differential equations (17 papers), Differential Equations and Numerical Methods (14 papers) and Matrix Theory and Algorithms (13 papers). The work is most often cited by research in Numerical Analysis (153 citations), Applied Mathematics (60 citations) and Mathematical Physics (50 citations). N. N. Kalitkin has collaborated with scholars based in Russia and Tajikistan. Frequent co-authors include Elena Alshina, Ivan Panin, L. V. Al’tshuler, I. D. Rodionov, B. L. Rozhdestvenskii, Б. В. Рогов, А. А. Белов, И. А. Соколова, A. A. Samarskiĭ and Vladimir G. Sokolov. Their work appears in journals such as Annals of Physics, Applied Numerical Mathematics and Fusion Engineering and Design.

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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