S. S. Vlasenko

1.6k total citations
31 papers, 1.1k citations indexed

About

S. S. Vlasenko is a scholar working on Atmospheric Science, Global and Planetary Change and Agronomy and Crop Science. According to data from OpenAlex, S. S. Vlasenko has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 22 papers in Global and Planetary Change and 3 papers in Agronomy and Crop Science. Recurrent topics in S. S. Vlasenko's work include Atmospheric chemistry and aerosols (22 papers), Atmospheric aerosols and clouds (16 papers) and Atmospheric Ozone and Climate (16 papers). S. S. Vlasenko is often cited by papers focused on Atmospheric chemistry and aerosols (22 papers), Atmospheric aerosols and clouds (16 papers) and Atmospheric Ozone and Climate (16 papers). S. S. Vlasenko collaborates with scholars based in Russia, Germany and United States. S. S. Vlasenko's co-authors include Eugene Mikhailov, Ulrich Pöschl, Scot T. Martin, Thomas Koop, Reinhard Nießner, I. A. Podgorny, C. Corrigan, V. Ramanathan, Diana Rose and Meinrat O. Andreae and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Atmospheric chemistry and physics.

In The Last Decade

S. S. Vlasenko

26 papers receiving 1.1k 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. S. Vlasenko Russia 11 899 620 421 73 55 31 1.1k
Kenjiro Iida Japan 15 669 0.7× 390 0.6× 449 1.1× 177 2.4× 25 0.5× 28 887
Eugene Mikhailov Russia 18 1.6k 1.8× 1.2k 1.9× 741 1.8× 114 1.6× 81 1.5× 46 1.9k
Lindsay Renbaum-Wolff Canada 11 978 1.1× 505 0.8× 582 1.4× 84 1.2× 46 0.8× 14 1.1k
Benjamin J. Sumlin United States 12 583 0.6× 333 0.5× 363 0.9× 86 1.2× 30 0.5× 20 752
Olga Laskina United States 15 812 0.9× 523 0.8× 275 0.7× 75 1.0× 46 0.8× 26 1.0k
Eduardo Landulfo Brazil 17 613 0.7× 635 1.0× 183 0.4× 173 2.4× 13 0.2× 100 945
Gourihar Kulkarni United States 18 804 0.9× 685 1.1× 242 0.6× 55 0.8× 18 0.3× 45 971
Kyle Gorkowski United States 14 947 1.1× 518 0.8× 557 1.3× 73 1.0× 42 0.8× 25 1.1k
Naruki Hiranuma United States 14 899 1.0× 634 1.0× 338 0.8× 62 0.8× 23 0.4× 40 1.0k
F.R. Quant United States 11 794 0.9× 523 0.8× 505 1.2× 218 3.0× 54 1.0× 14 1.2k

Countries citing papers authored by S. S. Vlasenko

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Vlasenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Vlasenko

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Vlasenko. A scholar is included among the top collaborators of S. S. Vlasenko 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. S. Vlasenko. S. S. Vlasenko 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.
Vlasenko, S. S., et al.. (2023). Estimation of Spatial Distribution of Potential Sources of Carbonaceous Aerosol from Local Measurements near St. Petersburg. Izvestiya Atmospheric and Oceanic Physics. 59(6). 685–694.
2.
3.
Ионов, Д. В., et al.. (2020). Seasonal and Daily Variability of Aerosol Particle Concentrations near St. Petersburg. Atmospheric and Oceanic Optics. 33(5). 524–530. 2 indexed citations
4.
Vlasenko, S. S., et al.. (2019). Variation of Carboneceous Atmospheric Aerosol Near St. Petersburg. Izvestiya Atmospheric and Oceanic Physics. 55(6). 619–627. 4 indexed citations
5.
Mikhailov, Eugene, et al.. (2019). Subpollen Particles as Atmospheric Cloud Condensation Nuclei. Izvestiya Atmospheric and Oceanic Physics. 55(4). 357–364. 25 indexed citations
6.
Mikhailov, Eugene, et al.. (2017). Cloud condensation nuclei activity of the Aitken mode particles near St. Petersburg, Russia. Izvestiya Atmospheric and Oceanic Physics. 53(3). 326–333. 6 indexed citations
7.
8.
Mikhailov, Eugene, Christopher Pöhlker, Xuguang Chi, et al.. (2015). Chemical composition, microstructure, and hygroscopic properties of aerosol particles at the Zotino Tall Tower Observatory (ZOTTO), Siberia, during a summer campaign. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
9.
Mikhailov, Eugene, Christopher Pöhlker, Xuguang Chi, et al.. (2015). Chemical composition, microstructure, and hygroscopic properties of aerosol particles at the Zotino Tall Tower Observatory (ZOTTO), Siberia, during a summer campaign. Atmospheric chemistry and physics. 15(15). 8847–8869. 35 indexed citations
10.
Mikhailov, Eugene, et al.. (2015). Studying seasonal variations in carbonaceous aerosol particles in the atmosphere over central Siberia. Izvestiya Atmospheric and Oceanic Physics. 51(4). 423–430. 9 indexed citations
11.
Sviridenkov, M. A., et al.. (2014). Retrieval of atmospheric aerosol parameters from data of a three-wavelength integrating nephelometer. Atmospheric and Oceanic Optics. 27(3). 230–236. 4 indexed citations
12.
Mikhailov, Eugene, S. S. Vlasenko, Diana Rose, & Ulrich Pöschl. (2013). Mass-based hygroscopicity parameter interaction model and measurement of atmospheric aerosol water uptake. Atmospheric chemistry and physics. 13(2). 717–740. 54 indexed citations
13.
14.
Mikhailov, Eugene, S. S. Vlasenko, Scot T. Martin, Thomas Koop, & Ulrich Pöschl. (2009). Amorphous and crystalline aerosol particles interacting with water vapor: conceptual framework and experimental evidence for restructuring, phase transitions and kinetic limitations. Atmospheric chemistry and physics. 9(24). 9491–9522. 401 indexed citations
15.
Mikhailov, Eugene, S. S. Vlasenko, Scot T. Martin, Thomas Koop, & Ulrich Pöschl. (2009). Amorphous and crystalline aerosol particles interacting with water vapor – Part 1: Microstructure, phase transitions, hygroscopic growth and kinetic limitations. 5 indexed citations
16.
Mikhailov, Eugene, S. S. Vlasenko, Reinhard Nießner, & Ulrich Pöschl. (2004). Interaction of aerosol particles composed of protein and saltswith water vapor: hygroscopic growth and microstructural rearrangement. Atmospheric chemistry and physics. 4(2). 323–350. 210 indexed citations
17.
Mikhailov, Eugene, et al.. (2001). Interaction of soot aerosol particles with water droplets: influence of surface hydrophilicity. Journal of Aerosol Science. 32(6). 697–711. 59 indexed citations
18.
Mikhailov, Eugene, et al.. (1999). Soot particle restructuring due to interaction with water droplets. Journal of Aerosol Science. 30. S443–S444. 3 indexed citations
19.
Mikhailov, Eugene, et al.. (1997). The structural changes in fractal particles of carbon black under the effect of capillary forces : Experimental results. 59(2). 176–184. 4 indexed citations
20.
Mikhailov, Eugene, et al.. (1996). Restructuring of soot particles: Experimental study. Journal of Aerosol Science. 27. S711–S712. 7 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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