Г. В. Кузнецов

7.1k total citations
514 papers, 5.4k citations indexed

About

Г. В. Кузнецов is a scholar working on Mechanical Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Г. В. Кузнецов has authored 514 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 257 papers in Mechanical Engineering, 228 papers in Computational Mechanics and 158 papers in Environmental Engineering. Recurrent topics in Г. В. Кузнецов's work include Coal Combustion and Slurry Processing (206 papers), Environmental and Industrial Safety (150 papers) and Combustion and flame dynamics (124 papers). Г. В. Кузнецов is often cited by papers focused on Coal Combustion and Slurry Processing (206 papers), Environmental and Industrial Safety (150 papers) and Combustion and flame dynamics (124 papers). Г. В. Кузнецов collaborates with scholars based in Russia, Ukraine and Czechia. Г. В. Кузнецов's co-authors include П. А. Стрижак, Р. С. Волков, Mikhail А. Sheremet, Dmitrii O. Glushkov, E.G. Orlova, S.V. Syrodoy, D.V. Feoktistov, O. V. Vysokomornaya, Д.В. Антонов and Ksenia Vershinina and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Langmuir.

In The Last Decade

Г. В. Кузнецов

475 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Г. В. Кузнецов Russia 37 2.4k 2.4k 1.9k 1.3k 985 514 5.4k
П. А. Стрижак Russia 42 3.2k 1.3× 3.1k 1.3× 2.6k 1.4× 1.8k 1.4× 1.3k 1.3× 584 7.3k
Xi Jiang United Kingdom 30 1.6k 0.7× 758 0.3× 597 0.3× 734 0.6× 699 0.7× 177 3.8k
Aamir Shabbir United States 17 2.9k 1.2× 1.5k 0.6× 815 0.4× 1.7k 1.2× 232 0.2× 35 5.7k
Liang Gong China 40 1.1k 0.5× 2.2k 0.9× 891 0.5× 223 0.2× 440 0.4× 198 4.6k
Zhaohui Liu China 39 2.6k 1.1× 1.0k 0.4× 2.1k 1.1× 187 0.1× 559 0.6× 288 5.1k
Şule Ergün Türkiye 6 3.8k 1.6× 2.0k 0.8× 1.4k 0.8× 319 0.2× 389 0.4× 10 5.9k
Jundika C. Kurnia Malaysia 33 652 0.3× 1.5k 0.6× 1.0k 0.5× 303 0.2× 638 0.6× 116 3.6k
Brent W. Webb United States 46 4.7k 1.9× 3.3k 1.4× 1.5k 0.8× 272 0.2× 343 0.3× 172 6.9k
António C.M. Sousa Portugal 44 1.3k 0.6× 3.6k 1.5× 4.3k 2.3× 238 0.2× 782 0.8× 164 6.3k
Günter Scheffknecht Germany 40 1.0k 0.4× 2.5k 1.1× 3.2k 1.7× 279 0.2× 205 0.2× 142 5.1k

Countries citing papers authored by Г. В. Кузнецов

Since Specialization
Citations

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

Fields of papers citing papers by Г. В. Кузнецов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Г. В. Кузнецов. 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 Г. В. Кузнецов. The network helps show where Г. В. Кузнецов may publish in the future.

Co-authorship network of co-authors of Г. В. Кузнецов

This figure shows the co-authorship network connecting the top 25 collaborators of Г. В. Кузнецов. A scholar is included among the top collaborators of Г. В. Кузнецов 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 Г. В. Кузнецов. Г. В. Кузнецов 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.
Кузнецов, Г. В., et al.. (2025). Conditions and characteristics of the coal-water fuel droplets fragmentation in high-speed airflow. International Journal of Multiphase Flow. 185. 105125–105125. 1 indexed citations
2.
Dorokhov, V.V., et al.. (2024). Thermal decomposition and combustion of interior design materials. Thermochimica Acta. 738. 179786–179786. 2 indexed citations
3.
Кузнецов, Г. В., et al.. (2024). Smoke deposition and extraction in compartment fires with different ignition sources. Process Safety and Environmental Protection. 187. 581–592. 2 indexed citations
4.
Кузнецов, Г. В., et al.. (2024). Reduction of response time of fire detection and containment systems in compartments. Fire Safety Journal. 144. 104089–104089. 3 indexed citations
5.
Кузнецов, Г. В., П. А. Стрижак, Р. С. Волков, & O. V. Vysokomornaya. (2024). Surface deformation of moving droplets of slurry fuels. Physics of Fluids. 36(5). 1 indexed citations
6.
Кузнецов, Г. В., et al.. (2024). Influence of the air gaps between cells and the case of the storage battery on its representative temperatures. Energy. 308. 132638–132638.
7.
Кузнецов, Г. В., et al.. (2023). Numerical parametric analysis of the decomposition and propagation of combustion products in a confined environment in the early stages of a fire. International Journal of Heat and Mass Transfer. 221. 125067–125067. 1 indexed citations
8.
Кузнецов, Г. В., et al.. (2023). Mathematical Modeling of Water-Coal Fuel Droplets Ignition Under High Pressure Medium. Combustion Science and Technology. 196(16). 3815–3844.
9.
Кузнецов, Г. В., et al.. (2023). Multicriteria Analysis to Substantiate the Promising Nature of Using Waste as Components of Fuels. Journal of Engineering Physics and Thermophysics. 96(1). 120–129. 1 indexed citations
10.
Кузнецов, Г. В., et al.. (2023). Evaluation of the limiting conditions for operation of a large electrochemical energy storage system. Journal of Energy Storage. 65. 107384–107384. 7 indexed citations
11.
Кузнецов, Г. В., et al.. (2023). The effect of compaction of the dispersed wood biomass layer on its drying efficiency. Renewable Energy. 211. 64–75. 2 indexed citations
12.
Кузнецов, Г. В., et al.. (2023). Influence of a cubic wood particle orientation in space on the characteristics and conditions of its ignition. Biomass and Bioenergy. 170. 106704–106704. 2 indexed citations
13.
14.
Кузнецов, Г. В., et al.. (2021). Influence of biomass type on its characteristics of convective heating and dehydration. Energy Reports. 7. 7118–7133. 5 indexed citations
15.
Кузнецов, Г. В., et al.. (2021). Justification of the Reduction Possibility of Sulfur Oxides and Fly Ash Emissions during Co-Combustion of Coal and Waste from Woodworking Enterprises. Applied Sciences. 11(24). 11719–11719. 5 indexed citations
16.
Кузнецов, Г. В., et al.. (2019). Estimation of energy consumption for drying of forest combustible materials during their preparation for incineration in the furnaces of steam and hot water boilers. Energy Sources Part A Recovery Utilization and Environmental Effects. 42(16). 1997–2005. 10 indexed citations
17.
Vershinina, Ksenia, Г. В. Кузнецов, & П. А. Стрижак. (2016). Influence of the preparation of organic coal–water fuel on its ignition. Coke and Chemistry. 59(4). 137–145. 8 indexed citations
18.
Кузнецов, Г. В.. (1998). Similarity between high-temperature destruction of rubber-like thermal protective materials in gas flows and erosion combustion of powders. Combustion Explosion and Shock Waves. 34(1). 58–62. 1 indexed citations
19.
Кузнецов, Г. В., et al.. (1998). Numerical modeling of the heat transfer mechanism in intumescent heat- and fire-protection materials. Combustion Explosion and Shock Waves. 34(3). 326–329. 3 indexed citations
20.
Кузнецов, Г. В.. (1996). Experimental estimation of the strength of the coke of a charring, rubber-like, heat-shield material. Combustion Explosion and Shock Waves. 32(5). 595–600. 2 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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