А. В. Жуков

539 total citations
38 papers, 345 citations indexed

About

А. В. Жуков is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, А. В. Жуков has authored 38 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in А. В. Жуков's work include Energy Load and Power Forecasting (8 papers), Power System Optimization and Stability (8 papers) and Power System Reliability and Maintenance (6 papers). А. В. Жуков is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Power System Optimization and Stability (8 papers) and Power System Reliability and Maintenance (6 papers). А. В. Жуков collaborates with scholars based in Russia, China and Australia. А. В. Жуков's co-authors include Denis Sidorov, Nikita Tomin, Yury Yasyukevich, Daniil Panasetsky, Victor Kurbatsky, Dmitriy Karamov, Fang Liu, Aliona Dreglea, Yong Li and Samad Noeiaghdam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energies and GPS Solutions.

In The Last Decade

А. В. Жуков

37 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
А. В. Жуков Russia	10	156	99	70	54	48	38	345
David Fugate United States	9	162 1.0×	99 1.0×	31 0.4×	27 0.5×	32 0.7×	33	362
Enrico Ragaini Italy	13	287 1.8×	248 2.5×	70 1.0×	21 0.4×	11 0.2×	70	451
Jeff Dagle United States	16	570 3.7×	457 4.6×	30 0.4×	13 0.2×	29 0.6×	52	715
Liisa Haarla Finland	14	485 3.1×	279 2.8×	18 0.3×	18 0.3×	26 0.5×	54	589
Qian Qing-quan China	9	239 1.5×	209 2.1×	13 0.2×	6 0.1×	5 0.1×	71	372
Lijuan Zhu China	12	115 0.7×	91 0.9×	4 0.1×	8 0.1×	9 0.2×	35	403
Xianhai Song China	11	65 0.4×	47 0.5×	4 0.1×	291 5.4×	13 0.3×	28	559
Jason Bank United States	11	463 3.0×	307 3.1×	17 0.2×	8 0.1×	10 0.2×	20	522
Farhad Namdari Iran	11	373 2.4×	348 3.5×	51 0.7×	4 0.1×	19 0.4×	59	498
Zhaohui Gao China	13	106 0.7×	70 0.7×	7 0.1×	48 0.9×	152 3.2×	36	347

Countries citing papers authored by А. В. Жуков

Since Specialization

Citations

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

Fields of papers citing papers by А. В. Жуков

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. В. Жуков

This figure shows the co-authorship network connecting the top 25 collaborators of А. В. Жуков. A scholar is included among the top collaborators of А. В. Жуков 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 А. В. Жуков. А. В. Жуков 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

Karamov, Dmitriy, et al.. (2021). Optimization of isolated power systems with renewables and storage batteries based on nonlinear Volterra models for the specially protected natural area of lake Baikal. Journal of Physics Conference Series. 1847(1). 12037–12037. 7 indexed citations

Жуков, А. В., et al.. (2020). GIMLi: Global Ionospheric total electron content model based on machine learning. GPS Solutions. 25(1). 43 indexed citations

Жуков, А. В., et al.. (2020). Correction to: GIMLi: Global Ionospheric total electron content model based on machine learning. GPS Solutions. 25(1). 3 indexed citations

Noeiaghdam, Samad, et al.. (2019). Control of Accuracy on Taylor-Collocation Method for Load Leveling Problem. 30. 59–72. 16 indexed citations

Новиков, С. Г., et al.. (2018). DEVELOPMENT OF TECHNOLOGY FOR THE PRODUCTION OF LU-177: ENGINEERING ASPECTS. Современные наукоемкие технологии (Modern High Technologies). 81–87. 1 indexed citations

Sidorov, Denis, et al.. (2018). Volterra Models in Load Leveling Problem. SHILAP Revista de lepidopterología. 69. 1015–1015. 6 indexed citations

Kurbatsky, Victor, Daniil Panasetsky, Denis Sidorov, et al.. (2018). A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections. 6–25. 3 indexed citations

Sidorov, Denis, et al.. (2018). Volterra Equation Based Models for Energy Storage Usage Based on Load Forecast in EPS with Renewable Generation. SHILAP Revista de lepidopterología. 26. 76–90. 4 indexed citations

Жуков, А. В., et al.. (2018). Towards Reliable Ionospheric Total Electron Content Nowcasting. 299–302. 3 indexed citations

10.

Voropai, N.I., Nikita Tomin, Denis Sidorov, et al.. (2018). A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections. Automation and Remote Control. 79(10). 1741–1755. 8 indexed citations

11.

Жуков, А. В.. (2017). Cellular Automata in Cryptography. Part 1. Voprosy kiberbezopasnosti. 70–76. 1 indexed citations

12.

Hương, Nguyễn Thu & А. В. Жуков. (2016). On Road Defects Detection and Classification.. 264–275. 4 indexed citations

13.

Жуков, А. В. & Denis Sidorov. (2016). Modification of Random Forest Based Approach for Streaming Data with Concept Drift. Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software. 9(4). 86–95. 3 indexed citations

14.

Hương, Nguyễn Thu & А. В. Жуков. (2015). Studies of Anthropometrical Features using Machine Learning Approach.. 96–105. 3 indexed citations

15.

Жуков, А. В., et al.. (2015). Calculation of the Controlling Actions under Conditions of Static Stability in the Software of a Centralized System of a New Generation of Antiemergency Automation. Power Technology and Engineering. 49(2). 153–158. 1 indexed citations

16.

Negnevitsky, Michael, Nikita Tomin, Victor Kurbatsky, et al.. (2015). A random forest-based approach for voltage security monitoring in a power system. eCite Digital Repository (University of Tasmania). 1–6. 13 indexed citations

17.

Tomin, Nikita, et al.. (2015). Random Forest Based Model for Preventing Large-Scale Emergencies in Power Systems. 13(1). 211–228. 26 indexed citations

18.

Жуков, А. В., et al.. (2015). A hybrid artificial neural network for voltage security evaluation in a power system. 1–8. 15 indexed citations

19.

Жуков, А. В., et al.. (2011). Evaluating the effect of frequency regulation modes on the reliability and economic efficiency of thermal power generation units. Power Technology and Engineering. 45(2). 132–136. 7 indexed citations

20.

Жуков, А. В., et al.. (1961). Utilization of kaolin from ural deposits. Refractories and Industrial Ceramics. 2(3-4). 155–156. 1 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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