N. N. Uraltseva

52 papers receiving 2.1k citations

Hit Papers

Linear and quasilinear elliptic equations1968202619872006196850010001.5k

Peers

N. N. Uraltseva
Comparison fields: 5 of 76
  • Applied Mathematics 1.8k
  • Computational Theory and Mathematics 1.7k
  • Mathematical Physics 834
  • Numerical Analysis 369
  • Computational Mechanics 336
Replace D. E. Edmunds with:
D. E. Edmunds United Kingdom
Alois Kufner Czechia
Catherine Bandle Switzerland
Giorgio Talenti Italy
Nassif Ghoussoub Canada
Jean Dhombres France
D. E. Edmunds United Kingdom
Luc Tartar United States
Michel Chipot Switzerland
Eugene B. Fabes United States
N. N. Uraltseva relative to D. E. Edmunds United Kingdom D. E. Edmunds's profile →
Citations per field
00.5×1.5×
D. E. Edmunds · 1×
Citations per year

Countries citing papers authored by N. N. Uraltseva

Since Specialization
Citations

This map shows the geographic impact of N. N. Uraltseva'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. Uraltseva 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. Uraltseva more than expected).

Fields of papers citing papers by N. N. Uraltseva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of N. N. Uraltseva. A scholar is included among the top collaborators of N. N. Uraltseva 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. Uraltseva. N. N. Uraltseva 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 0
2 10
3 1
4 122
5 6
6 2
7 0
8 1
9 2
10 1
11 1
12 3
13 2
14 2
15 37
16
Oblique boundary value problems for nonlinear parabolic equations
1
17 9
18 32
19 4
20
Linear and quasilinear elliptic equationsbreakdown →
1848

About N. N. Uraltseva

N. N. Uraltseva is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Numerical Analysis, having authored 62 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (34 papers), Differential Equations and Boundary Problems (24 papers) and Nonlinear Partial Differential Equations (21 papers). The work is most often cited by research in Applied Mathematics (1.8k citations), Computational Theory and Mathematics (1.7k citations) and Mathematical Physics (834 citations). N. N. Uraltseva has collaborated with scholars based in Russia, Sweden and Germany. Frequent co-authors include O. A. Ladyzhenskai︠a︡, O. A. Ladyzhenskaya, Henrik Shahgholian, Arshak Petrosyan, Georg S. Weiss, Vladimir Oliker, L. D. Faddeev, A. P. Oskolkov, Alexander I. Nazarov and A. A. Arkhipova. Their work appears in journals such as Communications on Pure and Applied Mathematics, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Advances in Mathematics.

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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