S. M. Prigarin

721 total citations
57 papers, 301 citations indexed

About

S. M. Prigarin is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, S. M. Prigarin has authored 57 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 12 papers in Earth-Surface Processes. Recurrent topics in S. M. Prigarin's work include Atmospheric aerosols and clouds (21 papers), Atmospheric Ozone and Climate (8 papers) and Aeolian processes and effects (7 papers). S. M. Prigarin is often cited by papers focused on Atmospheric aerosols and clouds (21 papers), Atmospheric Ozone and Climate (8 papers) and Aeolian processes and effects (7 papers). S. M. Prigarin collaborates with scholars based in Russia, Germany and United States. S. M. Prigarin's co-authors include В. А. Огородников, Klaus Hahn, Gerhard Winkler, Alexander Marshak, Ulrich G. Oppel, Afra M. Wohlschläger, Karsten Rodenacker, Nicholas E. Myers, Christian Sorg and Hans Förstl and has published in prestigious journals such as NeuroImage, Journal of the Atmospheric Sciences and BMC Bioinformatics.

In The Last Decade

S. M. Prigarin

44 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. M. Prigarin Russia 10 75 58 58 43 24 57 301
Hieu Nguyen United States 11 36 0.5× 89 1.5× 42 0.7× 77 1.8× 38 1.6× 26 612
Hussein Yahia France 15 117 1.6× 18 0.3× 91 1.6× 7 0.2× 45 1.9× 69 773
Maria Eduarda Silva Portugal 16 173 2.3× 35 0.6× 76 1.3× 5 0.1× 42 1.8× 56 717
Xiangru Li China 16 12 0.2× 12 0.2× 24 0.4× 21 0.5× 10 0.4× 67 737
Alessandro Dal Palù Italy 13 246 3.3× 139 2.4× 179 3.1× 276 6.4× 27 1.1× 49 904
Lennaert van Veen Canada 13 174 2.3× 55 0.9× 69 1.2× 5 0.1× 40 1.7× 32 581
Nikola Jajcay Czechia 10 206 2.7× 123 2.1× 133 2.3× 13 0.3× 29 1.2× 20 486
Oscar L. Colombo United States 19 17 0.2× 34 0.6× 32 0.6× 29 0.7× 27 1.1× 50 1.2k
Loren Enochson United States 7 20 0.3× 62 1.1× 25 0.4× 4 0.1× 10 0.4× 13 255
Craig Lindberg United States 6 156 2.1× 10 0.2× 157 2.7× 7 0.2× 10 0.4× 9 747

Countries citing papers authored by S. M. Prigarin

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Prigarin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Prigarin. 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 S. M. Prigarin. The network helps show where S. M. Prigarin may publish in the future.

Co-authorship network of co-authors of S. M. Prigarin

This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Prigarin. A scholar is included among the top collaborators of S. M. Prigarin 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 S. M. Prigarin. S. M. Prigarin 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
1.
Kargin, B. A., et al.. (2024). Monte Carlo Method for Numerical Simulation of Solar Energy Radiation Transfer in Crystal Clouds. Numerical Analysis and Applications. 17(2). 140–151.
2.
Prigarin, S. M., et al.. (2023). Stochastic simulation of a signal on a photodetector matrix of a laser navigation system. Russian Journal of Numerical Analysis and Mathematical Modelling. 38(1). 13–21. 2 indexed citations
4.
Mikhaı̆lov, G. A., et al.. (2019). Simulation of a random field with given distribution of one-dimensional integral. Russian Journal of Numerical Analysis and Mathematical Modelling. 34(6). 327–338.
5.
Prigarin, S. M., et al.. (2018). Comparative analysis of vector algorithms for statistical modelling of polarized radiative transfer process. Russian Journal of Numerical Analysis and Mathematical Modelling. 33(4). 253–263. 4 indexed citations
6.
7.
Hahn, Klaus, Peter Massopust, & S. M. Prigarin. (2016). A new method to measure complexity in binary or weighted networks and applications to functional connectivity in the human brain. BMC Bioinformatics. 17(1). 87–87. 11 indexed citations
9.
Hahn, Klaus, S. M. Prigarin, & Khader M. Hasan. (2012). Fitting of two-tensor models without ad hoc assumptions to detect crossing fibers using clinical DWI data. Magnetic Resonance Imaging. 31(4). 585–595. 4 indexed citations
10.
Prigarin, S. M., et al.. (2012). Conditional spectral models of extreme ocean waves. Russian Journal of Numerical Analysis and Mathematical Modelling. 27(3). 1 indexed citations
11.
Prigarin, S. M., Klaus Hahn, & Gerhard Winkler. (2011). Estimation of fractal dimension of random fields on the basis of variance analysis of increments. Numerical Analysis and Applications. 4(1). 71–80. 1 indexed citations
12.
Огородников, В. А., et al.. (2010). Quasi-Gaussian model of network traffic. Automation and Remote Control. 71(3). 473–485. 2 indexed citations
13.
Prigarin, S. M., et al.. (2010). Simulation of binary random fields with Gaussian numerical models. Monte Carlo Methods and Applications. 16(2). 1 indexed citations
14.
Prigarin, S. M., et al.. (2009). Spectral numerical models of fractional Brownian motion. Russian Journal of Numerical Analysis and Mathematical Modelling. 24(3). 2 indexed citations
15.
Prigarin, S. M., Klaus Hahn, & Gerhard Winkler. (2009). Variational dimension of random sequences and its application. Numerical Analysis and Applications. 2(4). 352–363. 2 indexed citations
16.
Prigarin, S. M. & Alexander Marshak. (2005). Numerical model of broken clouds adapted to results of observations. 3 indexed citations
17.
18.
Огородников, В. А. & S. M. Prigarin. (1996). Numerical Modelling of Random Processes and Fields: Algorithms and Applications. 27 indexed citations
19.
Огородников, В. А. & S. M. Prigarin. (1996). Numerical Modelling of Random Processes and Fields. 30 indexed citations
20.
Огородников, В. А. & S. M. Prigarin. (1996). On stochastic interpolation of discrete random processes and fields. Russian Journal of Numerical Analysis and Mathematical Modelling. 11(1). 3 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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