V. Perov

982 total citations
9 papers, 459 citations indexed

About

V. Perov is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, V. Perov has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 2 papers in Oceanography. Recurrent topics in V. Perov's work include Meteorological Phenomena and Simulations (7 papers), Climate variability and models (5 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). V. Perov is often cited by papers focused on Meteorological Phenomena and Simulations (7 papers), Climate variability and models (5 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). V. Perov collaborates with scholars based in Sweden, United States and Israel. V. Perov's co-authors include Boris Galperin, Semion Sukoriansky, Sergej Zilitinkevich, J.C. King, Nils Gustafsson, Martti Heikinheimo, Anders Lindroth, Galina Surkova, В. Н. Лыкосов and Д. В. Блинов and has published in prestigious journals such as SHILAP Revista de lepidopterología, Agricultural and Forest Meteorology and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

V. Perov

9 papers receiving 446 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. Perov Sweden 6 407 350 152 45 32 9 459
Barbara Hennemuth Germany 10 332 0.8× 301 0.9× 113 0.7× 38 0.8× 26 0.8× 26 389
Simon Pellerin Canada 7 538 1.3× 472 1.3× 90 0.6× 60 1.3× 27 0.8× 8 593
Frédérique Saïd France 9 277 0.7× 297 0.8× 65 0.4× 28 0.6× 17 0.5× 16 351
Vagner Anabor Brazil 11 251 0.6× 234 0.7× 98 0.6× 30 0.7× 31 1.0× 43 328
Ernani de Lima Nascimento Brazil 10 261 0.6× 247 0.7× 73 0.5× 41 0.9× 11 0.3× 42 332
Carol Halliwell United Kingdom 8 735 1.8× 708 2.0× 91 0.6× 25 0.6× 34 1.1× 11 773
Tomoaki Mega Japan 13 467 1.1× 286 0.8× 132 0.9× 39 0.9× 12 0.4× 35 519
Rachel Honnert France 11 516 1.3× 463 1.3× 196 1.3× 40 0.9× 83 2.6× 16 575
Mireia Udina Spain 14 275 0.7× 178 0.5× 114 0.8× 16 0.4× 20 0.6× 30 334
Wataru Mashiko Japan 9 303 0.7× 205 0.6× 94 0.6× 35 0.8× 37 1.2× 23 349

Countries citing papers authored by V. Perov

Since Specialization
Citations

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

Fields of papers citing papers by V. Perov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Perov

This figure shows the co-authorship network connecting the top 25 collaborators of V. Perov. A scholar is included among the top collaborators of V. Perov 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 V. Perov. V. Perov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zalesny, V. B., et al.. (2019). Ocean Circulation Modeling with K-Omega and K-Epsilon Parameterizations of Vertical Turbulent Exchange. SHILAP Revista de lepidopterología. 26(6). 2 indexed citations
2.
Ривин, Г. С., Д. В. Блинов, М. А. Никитин, et al.. (2015). The COSMO-Ru system of nonhydrostatic mesoscale short-range weather forecasting of the Hydrometcenter of Russia: The second stage of implementation and development. Russian Meteorology and Hydrology. 40(6). 400–410. 33 indexed citations
3.
Sukoriansky, Semion, Boris Galperin, & V. Perov. (2006). A quasi-normal scale elimination model of turbulence and its application to stably stratified flows. Nonlinear processes in geophysics. 13(1). 9–22. 87 indexed citations
4.
Sukoriansky, Semion, Boris Galperin, & V. Perov. (2005). ‘Application of a New Spectral Theory of Stably Stratified Turbulence to the Atmospheric Boundary Layer over Sea Ice’. Boundary-Layer Meteorology. 117(2). 231–257. 268 indexed citations
5.
Sukoriansky, Semion, V. Perov, & Boris Galperin. (2003). Application of a new spectral theory of turbulence to a stably stratified atmospheric boundary layer. EGS - AGU - EUG Joint Assembly. 7037. 1 indexed citations
6.
Zilitinkevich, Sergej, V. Perov, & J.C. King. (2002). Near‐surface turbulent fluxes in stable stratification: Calculation techniques for use in general‐circulation models. Quarterly Journal of the Royal Meteorological Society. 128(583). 1571–1587. 39 indexed citations
7.
Perov, V. & Sergej Zilitinkevich. (2000). Application of an extended similarity theory for stably stratified atmospheric surface layer to HIRLAM. 35. 1 indexed citations
8.
Heikinheimo, Martti, et al.. (1999). A new land-surface treatment for HIRLAM — comparisons with NOPEX measurements. Agricultural and Forest Meteorology. 98-99. 239–256. 15 indexed citations
9.
Marchuk, G. I., et al.. (1982). Mathematical modeling of the general circulation of the atmosphere and ocean. 116–124. 13 indexed citations

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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