Владимир Табаков

842 total citations
36 papers, 567 citations indexed

About

Владимир Табаков is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Владимир Табаков has authored 36 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanical Engineering, 25 papers in Mechanics of Materials and 16 papers in Materials Chemistry. Recurrent topics in Владимир Табаков's work include Metal and Thin Film Mechanics (23 papers), Engineering Technology and Methodologies (15 papers) and Diamond and Carbon-based Materials Research (14 papers). Владимир Табаков is often cited by papers focused on Metal and Thin Film Mechanics (23 papers), Engineering Technology and Methodologies (15 papers) and Diamond and Carbon-based Materials Research (14 papers). Владимир Табаков collaborates with scholars based in Russia, Kyrgyzstan and Belarus. Владимир Табаков's co-authors include Alexey Vereschaka, Sergey N. Grigoriev, Nikolay Sitnikov, Nikolay Andreev, Filipp Milovich, Filipp Milovich, Gaik Oganyan, Catherine Sotova, Jury Bublikov and Mars Migranov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Wear and Surface and Coatings Technology.

In The Last Decade

Владимир Табаков

31 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Владимир Табаков Russia 12 464 427 284 134 53 36 567
Gaik Oganyan Russia 10 284 0.6× 260 0.6× 179 0.6× 60 0.4× 37 0.7× 17 351
А. А. Андреев Ukraine 12 315 0.7× 317 0.7× 232 0.8× 41 0.3× 34 0.6× 40 446
S. Kombogiannis Greece 10 263 0.6× 198 0.5× 178 0.6× 41 0.3× 62 1.2× 15 338
M. S. Koval’chenko Ukraine 13 479 1.0× 174 0.4× 178 0.6× 40 0.3× 28 0.5× 171 621
Grzegorz Winiarski Poland 11 322 0.7× 263 0.6× 173 0.6× 25 0.2× 11 0.2× 44 374
Konrad Perzyński Poland 10 308 0.7× 275 0.6× 205 0.7× 28 0.2× 9 0.2× 60 419
G. Katirtzoglou Greece 13 298 0.6× 351 0.8× 280 1.0× 12 0.1× 73 1.4× 21 473
Tao Ding China 8 362 0.8× 225 0.5× 44 0.2× 76 0.6× 42 0.8× 32 409
S. Makrimallakis Greece 14 326 0.7× 372 0.9× 309 1.1× 10 0.1× 67 1.3× 22 497
I. Yu. Malygina Russia 15 524 1.1× 313 0.7× 364 1.3× 13 0.1× 24 0.5× 55 554

Countries citing papers authored by Владимир Табаков

Since Specialization
Citations

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

Fields of papers citing papers by Владимир Табаков

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Владимир Табаков

This figure shows the co-authorship network connecting the top 25 collaborators of Владимир Табаков. A scholar is included among the top collaborators of Владимир Табаков 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 Владимир Табаков. Владимир Табаков 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.
Kovalnogov, Vladislav N., et al.. (2024). Applied Machine Learning to Study the Movement of Air Masses in the Wind Farm Area. Energies. 17(16). 3961–3961. 3 indexed citations
3.
Мартынов, В. В., et al.. (2022). Low-temperature plasma hardening impact on the properties of the surface layer of the cutting tool working part. The International Journal of Advanced Manufacturing Technology. 124(1-2). 183–195. 1 indexed citations
5.
Табаков, Владимир, et al.. (2021). Multilayer coatings based on niobium nitride. 256–262.
6.
Табаков, Владимир, et al.. (2021). Application of complex niobium nitrides as heat-protective and wear-resistant coating materials for cutting tools. Journal of Physics Conference Series. 1954(1). 12049–12049.
7.
Grigoriev, Sergey N., Alexey Vereschaka, Filipp Milovich, et al.. (2020). Investigation of multicomponent nanolayer coatings based on nitrides of Cr, Mo, Zr, Nb, and Al. Surface and Coatings Technology. 401. 126258–126258. 56 indexed citations
8.
Табаков, Владимир, et al.. (2020). Wear-resistant coatings based on niobium nitride. IOP Conference Series Materials Science and Engineering. 709(3). 33096–33096. 5 indexed citations
9.
Табаков, Владимир, et al.. (2019). Method for Determining Texture Parameters of Processed Precision Surfaces by Correlation. Key engineering materials. 822. 731–736. 1 indexed citations
10.
Vereschaka, Alexey, Владимир Табаков, Sergey N. Grigoriev, et al.. (2019). Investigation of wear mechanisms for the rake face of a cutting tool with a multilayer composite nanostructured Cr–CrN-(Ti,Cr,Al,Si)N coating in high-speed steel turning. Wear. 438-439. 203069–203069. 54 indexed citations
11.
Vereschaka, Alexey, Владимир Табаков, Sergey N. Grigoriev, et al.. (2018). Effect of adhesion and the wear-resistant layer thickness ratio on mechanical and performance properties of ZrN - (Zr,Al,Si)N coatings. Surface and Coatings Technology. 357. 218–234. 67 indexed citations
12.
Табаков, Владимир, et al.. (2018). Functional parameters of the cutting process of the cutting tool with multilayer coatings after pulsed laser treatment. SHILAP Revista de lepidopterología. 224. 1087–1087.
13.
Табаков, Владимир, et al.. (2018). Simulation of influence of cutting tool’s construction on specific heat energy in processing of bevel gears. IOP Conference Series Materials Science and Engineering. 450. 32042–32042. 1 indexed citations
14.
Табаков, Владимир, et al.. (2017). Multilayer composition coatings for cutting tools: formation and performance properties. Mechanics & Industry. 18(7). 706–706. 18 indexed citations
15.
Табаков, Владимир, et al.. (2017). Increasing of the carbide cutting tool life by developing the multilayer coatings. SHILAP Revista de lepidopterología. 129. 1038–1038. 1 indexed citations
16.
Табаков, Владимир, et al.. (2016). Influence of the deposition conditions on coating properties and tool performance. Russian Engineering Research. 36(8). 652–657. 1 indexed citations
17.
Табаков, Владимир, et al.. (2016). Stress state of wear-resistant tool coatings. Russian Engineering Research. 36(6). 454–460. 1 indexed citations
18.
Табаков, Владимир & Alexey Vereschaka. (2013). Development of Technological Means for Formation of Multilayer Composite Coatings, Providing Increased Resistance of Carbide Tools, for Different Machining Conditions. Key engineering materials. 581. 55–61. 13 indexed citations
19.
Табаков, Владимир. (2011). The Influence of Machining Condition Forming Multilayer Coatings for Cutting Tools. Key engineering materials. 496. 80–85. 16 indexed citations
20.
Табаков, Владимир, et al.. (2009). Multicomponent nitride coatings for improving tool performance. Russian Engineering Research. 29(10). 1047–1053. 8 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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