Igor Bolvashenkov

606 total citations
66 papers, 336 citations indexed

About

Igor Bolvashenkov is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Igor Bolvashenkov has authored 66 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Electrical and Electronic Engineering, 21 papers in Automotive Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Igor Bolvashenkov's work include Advanced Battery Technologies Research (17 papers), Electric Power Systems and Control (12 papers) and Electric Motor Design and Analysis (12 papers). Igor Bolvashenkov is often cited by papers focused on Advanced Battery Technologies Research (17 papers), Electric Power Systems and Control (12 papers) and Electric Motor Design and Analysis (12 papers). Igor Bolvashenkov collaborates with scholars based in Germany, Israel and Russia. Igor Bolvashenkov's co-authors include Hans–Georg Herzog, Ilia Frenkel, Khai Tran, Christiane Bertram, Anatoly Lisnianski, Elena Zaitseva, Guixiang Shen, Vitaly Levashenko and Bingkun Chen and has published in prestigious journals such as Reliability Engineering & System Safety, Applied Sciences and SpringerBriefs in applied sciences and technology.

In The Last Decade

Igor Bolvashenkov

63 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Igor Bolvashenkov Germany 12 189 140 80 55 47 66 336
Svetlana N. Sorokova Russia 10 110 0.6× 71 0.5× 142 1.8× 37 0.7× 10 0.2× 26 294
Thamo Sutharssan United Kingdom 5 221 1.2× 128 0.9× 21 0.3× 117 2.1× 46 1.0× 8 351
Inho Cho South Korea 9 224 1.2× 234 1.7× 77 1.0× 75 1.4× 20 0.4× 28 417
Pan Lu China 8 112 0.6× 76 0.5× 167 2.1× 40 0.7× 60 1.3× 17 309
Cheng‐Jung Yang Taiwan 10 180 1.0× 114 0.8× 51 0.6× 87 1.6× 9 0.2× 44 336
T. Sasaki Japan 11 288 1.5× 66 0.5× 63 0.8× 162 2.9× 27 0.6× 36 403
Zhen Huang China 14 359 1.9× 202 1.4× 65 0.8× 133 2.4× 8 0.2× 72 559
Ioulia T. Papaioannou Netherlands 11 365 1.9× 73 0.5× 43 0.5× 191 3.5× 21 0.4× 19 485
Qiang Lu China 6 246 1.3× 263 1.9× 32 0.4× 87 1.6× 21 0.4× 7 365
Jinli Xu China 10 126 0.7× 139 1.0× 102 1.3× 74 1.3× 10 0.2× 48 314

Countries citing papers authored by Igor Bolvashenkov

Since Specialization
Citations

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

Fields of papers citing papers by Igor Bolvashenkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Bolvashenkov

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Bolvashenkov. A scholar is included among the top collaborators of Igor Bolvashenkov 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 Igor Bolvashenkov. Igor Bolvashenkov 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.
Zaitseva, Elena, et al.. (2023). Importance analysis of a system based on survival signature by structural importance measures. Reliability Engineering & System Safety. 243. 109814–109814. 6 indexed citations
2.
Bolvashenkov, Igor, et al.. (2022). Design Features and Benefits of Advanced Multiphase Inverter-Fed Electric Drives. mediaTUM (Technical University of Munich). 1–7. 1 indexed citations
3.
Bolvashenkov, Igor, et al.. (2020). Development of a Fault-Tolerant Nine-Phase Electric Drive. mediaTUM (Technical University of Munich). 1–6. 1 indexed citations
4.
Shen, Guixiang, Bingkun Chen, Ilia Frenkel, et al.. (2019). Lz-Transform Method and Markov Reward Approach for Flexible Manufacturing System Performance Evaluation. Applied Sciences. 9(19). 4153–4153. 1 indexed citations
5.
Frenkel, Ilia, et al.. (2019). Markov Reward Approach and Reliability Associated Cost Model for Machine Tools Maintenance-Planning Optimization. International Journal of Mathematical Engineering and Management Sciences. 4(4). 824–840. 7 indexed citations
6.
Bolvashenkov, Igor, et al.. (2019). Reliability Evaluation of non-Repairable Propulsion Systems of Hybrid-Electric Helicopter with Different Level of Hybridization. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1–6. 1 indexed citations
7.
Bolvashenkov, Igor, et al.. (2019). Choice of Phase Number for a Multiphase Traction Motor to Meet Requirements on Fault Tolerance. mediaTUM (Technical University of Munich). 1–6. 8 indexed citations
8.
Frenkel, Ilia, et al.. (2018). The Lz-Transform Method for the Reliability and Fault Tolerance Assessment of Norilsk-Type Ship’s Diesel-Geared Traction Drives. Transport and Telecommunication Journal. 19(4). 284–293. 2 indexed citations
9.
Bolvashenkov, Igor, et al.. (2018). Safety-Critical Electrical Drives. Springer briefs in electrical and computer engineering. 4 indexed citations
10.
Bolvashenkov, Igor, et al.. (2017). Reliability of induction machines: Statistics, tendencies, and perspectives. 1843–1847. 11 indexed citations
11.
Bolvashenkov, Igor, et al.. (2016). Techniques for comparative analysis and its application to electric traction machines. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1 indexed citations
12.
Bolvashenkov, Igor & Hans–Georg Herzog. (2016). Use of Stochastic Models for Operational Efficiency Analysis of Multi Power Source Traction Drives. 124–130. 14 indexed citations
13.
Bolvashenkov, Igor, et al.. (2016). Research on Reliability and Fault Tolerance of Traction Multi-Phase Permanent Magnet Synchronous Motors Based on Markov Models for Multi-State Systems. 3 indexed citations
14.
Bolvashenkov, Igor, et al.. (2016). Methodology for selecting electric traction motors and its application to vehicle propulsion systems. 1214–1219. 15 indexed citations
15.
Frenkel, Ilia, et al.. (2016). Performance Availability Assessment of Combined Multi Power Source Traction Drive Considering Real Operational Conditions. Transport and Telecommunication Journal. 17(3). 179–191. 11 indexed citations
16.
Bolvashenkov, Igor, et al.. (2015). Approach for comparative analysis of electric traction machines. 1–5. 10 indexed citations
17.
Bolvashenkov, Igor & Hans–Georg Herzog. (2015). Approach to predictive evaluation of the reliability of electric drive train based on a stochastic model. 486–492. 19 indexed citations
18.
Bolvashenkov, Igor, et al.. (2014). Promising ships propulsion systems with electric motion and steering gondolas. 65. 1–4. 1 indexed citations
19.
Bolvashenkov, Igor. (2010). Onboard Hydrogen Generation: Tentative Estimation of Practical Realization. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1 indexed citations
20.
Bolvashenkov, Igor & Hans–Georg Herzog. (2006). System approach to a choice of optimum factor of hybridization of the electric hybrid vehicle. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 5 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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