О. V. Kharchenko

526 total citations
67 papers, 309 citations indexed

About

О. V. Kharchenko is a scholar working on Global and Planetary Change, Spectroscopy and Atmospheric Science. According to data from OpenAlex, О. V. Kharchenko has authored 67 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Global and Planetary Change, 45 papers in Spectroscopy and 32 papers in Atmospheric Science. Recurrent topics in О. V. Kharchenko's work include Atmospheric and Environmental Gas Dynamics (51 papers), Spectroscopy and Laser Applications (44 papers) and Atmospheric Ozone and Climate (31 papers). О. V. Kharchenko is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (51 papers), Spectroscopy and Laser Applications (44 papers) and Atmospheric Ozone and Climate (31 papers). О. V. Kharchenko collaborates with scholars based in Russia, Ukraine and Lithuania. О. V. Kharchenko's co-authors include О. А. Romanovskii, S. V. Yakovlev, А. V. Nevzorov, S. I. Dolgii, С. А. Гончуков, A. Makeev, Yu. M. Klimachëv, А. А. Котков, A. Yu. Kozlov and G. G. Matvienko and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

О. V. Kharchenko

52 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
О. V. Kharchenko Russia	10	163	146	111	80	54	67	309
R. Chave United States	6	120 0.7×	70 0.5×	147 1.3×	41 0.5×	21 0.4×	16	299
Peter Kaspersen France	7	61 0.4×	167 1.1×	82 0.7×	125 1.6×	50 0.9×	16	324
V. L. Kasyutich United Kingdom	13	134 0.8×	387 2.7×	238 2.1×	217 2.7×	86 1.6×	27	468
K.B. Thakur India	10	50 0.3×	105 0.7×	104 0.9×	104 1.3×	56 1.0×	33	243
Xiaojuan Cui China	10	110 0.7×	217 1.5×	110 1.0×	85 1.1×	20 0.4×	32	326
I. Morozov Russia	5	150 0.9×	304 2.1×	196 1.8×	203 2.5×	62 1.1×	13	414
Mai Hu China	12	108 0.7×	218 1.5×	114 1.0×	101 1.3×	28 0.5×	45	348
R. Vallon France	11	66 0.4×	206 1.4×	70 0.6×	131 1.6×	41 0.8×	31	320
S. M. Bobrovnikov Russia	9	137 0.8×	114 0.8×	95 0.9×	63 0.8×	19 0.4×	51	255

Countries citing papers authored by О. V. Kharchenko

Since Specialization

Citations

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

Fields of papers citing papers by О. V. Kharchenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of О. V. Kharchenko

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

All Works

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20 of 20 papers shown

Romanovskii, О. А., et al.. (2025). Ground-based Stationary Differential Absorption Lidars for Monitoring Greenhouse Gases in the Atmosphere. Atmospheric and Oceanic Optics. 38(3). 345–359.

Nevzorov, А. V., et al.. (2024). Lidar Complex for Control of the Ozonosphere over Tomsk, Russia. Atmosphere. 15(6). 622–622. 1 indexed citations

Nevzorov, А. V., et al.. (2023). Stratospheric aerosol layer for period of 2018-2023 using measurements at Siberian Lidar Station in Tomsk. 34–34.

Nevzorov, А. V., et al.. (2023). Algorithm for Processing Data from Lidar Sounding of Ozone in the Atmosphere. Journal of Applied Spectroscopy. 90(4). 817–824.

Yakovlev, S. V., et al.. (2022). Mobile mid-infrared differential absorption lidar for methane monitoring in the atmosphere: Calibration and first in situ tests. Results in Optics. 8. 100233–100233. 10 indexed citations

Dolgii, S. I., et al.. (2022). Influence of Absorption Cross-Sections on Retrieving the Ozone Vertical Distribution at the Siberian Lidar Station. Atmosphere. 13(2). 293–293. 2 indexed citations

Dolgii, S. I., et al.. (2020). Measurements of Ozone Vertical Profiles in the Upper Troposphere–Stratosphere over Western Siberia by DIAL, MLS, and IASI. Atmosphere. 11(2). 196–196. 10 indexed citations

Dolgii, S. I., et al.. (2020). Temperature Correction of the Vertical Ozone Distribution Retrieval at the Siberian Lidar Station Using the MetOp and Aura Data. Atmosphere. 11(11). 1139–1139. 3 indexed citations

Romanovskii, О. А., et al.. (2020). Mobile compact IR differential absorption lidar for research of methane in the atmoshpere. 39–39. 1 indexed citations

10.

Romanovskii, О. А., et al.. (2019). Near/mid-IR OPO Lidar System for Gas Analysis of the Atmosphere: Simulation and Measurement Results. Optical Memory and Neural Networks. 28(1). 1–10. 4 indexed citations

11.

Romanovskii, О. А., et al.. (2019). Development of near/mid IR differential absorption OPO lidar system for remote gas analysis of the atmosphere. 9645. 28–28. 1 indexed citations

12.

Dolgii, S. I., et al.. (2019). Lidar Differential Absorption System for Measuring Ozone in the Upper Troposphere–Stratosphere. Journal of Applied Spectroscopy. 85(6). 1114–1120. 5 indexed citations

13.

Romanovskii, О. А., et al.. (2017). Simulation of Remote Atmospheric Sensing by a Laser System based on Optical Parametric Oscillator. Information and Control Systems. 5(90). 71–79. 2 indexed citations

14.

Kharchenko, О. V., et al.. (2015). Application of Multiwavelength IR Lasers for Lidar and Path Measurements of the Meteorological Parameters of the Atmosphere. Russian Physics Journal. 57(10). 1380–1387. 2 indexed citations

15.

Romanovskii, О. А., et al.. (2015). Calculation of lidar echo signals during N₂O and NO₂sounding alonge tropospheric paths in 3-4 μm range. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9680. 96803U–96803U.

16.

Matvienko, G. G., О. А. Romanovskii, О. V. Kharchenko, & S. V. Yakovlev. (2014). Simulation of lidar measurements of profiles of atmospheric meteorological parameters using an overtone CO laser. Atmospheric and Oceanic Optics. 27(4). 310–312.

17.

Romanovskii, О. А., О. V. Kharchenko, & S. V. Yakovlev. (2014). An overtone CO laser application for lidar measurements of profiles of atmospheric meteorological parameters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9292. 92923B–92923B.

18.

Ионин, А. А., Yu. M. Klimachëv, A. Yu. Kozlov, et al.. (2013). Application of an overtone CO laser for remote gas analysis of the atmosphere. Atmospheric and Oceanic Optics. 26(1). 68–73. 6 indexed citations

19.

Dolgii, S. I., et al.. (2012). A multiple-wavelength self-terminating strontium vapor laser for remote gas analysis of the atmosphere. Russian Physics Journal. 55(4). 449–457. 1 indexed citations

20.

Ivanov, Leonid, et al.. (1993). Subcellular distribution and properties of rabbit liver aminoacyl-tRNA synthetases under myocardial ischemia. Molecular and Cellular Biochemistry. 125(2). 105–114. 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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