Vladimir Maz’ya

10.8k citations
284 papers · 6.0k indexed · 2 hit papers · h-index 38
Topics
Advanced Mathematical Modeling in Engineering (171 papers)Differential Equations and Boundary Problems (112 papers)Nonlinear Partial Differential Equations (62 papers)

In The Last Decade

Vladimir Maz’ya

266 papers receiving 5.4k citations

Hit Papers

Sobolev Spaces201120262016202120112011100200300

Peers

Vladimir Maz’ya
Comparison fields: 5 of 89
  • Applied Mathematics 3.5k
  • Computational Theory and Mathematics 3.4k
  • Mathematical Physics 2.3k
  • Mechanics of Materials 1.1k
  • Computational Mechanics 986
Replace Mariano Giaquinta with:
Mariano Giaquinta Italy
Yuan Xu United States
Nicola Fusco Italy
Diego Pallara Italy
Jindřich Nečas Czechia
Claude Bardos France
Wolfgang L. Wendland Germany
Pierre Grisvard France
Günther Uhlmann United States
M. Zuhair Nashed United States
Vladimir Maz’ya relative to Mariano Giaquinta Italy Mariano Giaquinta's profile →
Citations per field
00.5×2.8×
Mariano Giaquinta · 1×
Citations per year

Countries citing papers authored by Vladimir Maz’ya

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Maz’ya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir Maz’ya. 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 Vladimir Maz’ya. The network helps show where Vladimir Maz’ya may publish in the future.

Co-authorship network of co-authors of Vladimir Maz’ya

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Maz’ya. A scholar is included among the top collaborators of Vladimir Maz’ya 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 Vladimir Maz’ya. Vladimir Maz’ya 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 29
3 2
4 11
5 51
6 28
7 4
8 112
9 136
10 15
11 79
12 10
13 21
14 3
15 8
16 1
17 4
18 16
19 46
20
Problem concerning steady-state oscillations of a layer of fluid in the presence of an obstacle
2

About Vladimir Maz’ya

Vladimir Maz’ya is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 284 papers that have together received 6.0k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (171 papers), Differential Equations and Boundary Problems (112 papers) and Nonlinear Partial Differential Equations (62 papers). The work is most often cited by research in Applied Mathematics (3.5k citations), Mathematical Physics (2.3k citations) and Computational Theory and Mathematics (3.4k citations). Vladimir Maz’ya has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include J. Roßmann, Vladimir Kozlov, Andrea Cianchi, Tatyana Shaposhnikova, A. B. Movchan, С. А. Назаров, V. A. Kozlov, Б. А. Пламеневский, T. O. Shaposhnikova and Igor E. Verbitsky. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and Annals of 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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