Yu. P. Shaman

431 total citations
55 papers, 308 citations indexed

About

Yu. P. Shaman is a scholar working on Materials Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yu. P. Shaman has authored 55 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Materials Chemistry, 23 papers in Biomedical Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Yu. P. Shaman's work include Carbon Nanotubes in Composites (34 papers), Graphene research and applications (16 papers) and Nanotechnology research and applications (12 papers). Yu. P. Shaman is often cited by papers focused on Carbon Nanotubes in Composites (34 papers), Graphene research and applications (16 papers) and Nanotechnology research and applications (12 papers). Yu. P. Shaman collaborates with scholars based in Russia, Belarus and Poland. Yu. P. Shaman's co-authors include Alexander A. Pavlov, Д. Г. Громов, Sergey Dubkov, В. А. Лабунов, A. Yu. Trifonov, I. Komissarov, A. Yu. Gerasimenko, Olga E. Glukhova, Beng Kang Tay and Maziar Shakerzadeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Surface Science and Nanomaterials.

In The Last Decade

Yu. P. Shaman

49 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu. P. Shaman Russia 9 192 98 77 69 41 55 308
A. Yu. Trifonov Russia 13 222 1.2× 121 1.2× 126 1.6× 146 2.1× 45 1.1× 45 394
I-Kai Hsu United States 9 378 2.0× 120 1.2× 84 1.1× 80 1.2× 71 1.7× 13 487
R. A. Griffiths United Kingdom 4 161 0.8× 124 1.3× 113 1.5× 47 0.7× 66 1.6× 6 298
David Muñetón Arboleda Argentina 10 187 1.0× 202 2.1× 71 0.9× 137 2.0× 26 0.6× 20 381
Ronggen Cao China 13 248 1.3× 102 1.0× 183 2.4× 93 1.3× 63 1.5× 25 413
Santhi Ani Joseph India 11 182 0.9× 226 2.3× 85 1.1× 78 1.1× 44 1.1× 22 377
Somesh Kr. Bhattacharya Japan 12 387 2.0× 59 0.6× 117 1.5× 54 0.8× 43 1.0× 24 491
Seid Jebril Germany 9 221 1.2× 126 1.3× 177 2.3× 74 1.1× 27 0.7× 10 363
Smita Gohil India 13 206 1.1× 91 0.9× 125 1.6× 126 1.8× 20 0.5× 30 417
Yaya Lefkir France 14 163 0.8× 135 1.4× 64 0.8× 107 1.6× 79 1.9× 26 367

Countries citing papers authored by Yu. P. Shaman

Since Specialization
Citations

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

Fields of papers citing papers by Yu. P. Shaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. P. Shaman. 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 Yu. P. Shaman. The network helps show where Yu. P. Shaman may publish in the future.

Co-authorship network of co-authors of Yu. P. Shaman

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. P. Shaman. A scholar is included among the top collaborators of Yu. P. Shaman 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 Yu. P. Shaman. Yu. P. Shaman 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.
Glukhova, Olga E., et al.. (2024). Functionalization of Graphene-Nanotube Nanostructures by BaO Nanoparticles for Field Emission Devices. Nanobiotechnology Reports. 19(S1). S98–S106. 1 indexed citations
2.
Gerasimenko, A. Yu., et al.. (2024). Improving the emission properties of graphene–carbon nanotube hybrid nanostructures through functionalization with BaO nanoparticles and laser treatment. Applied Surface Science. 664. 160222–160222. 4 indexed citations
3.
Shaman, Yu. P., et al.. (2023). Tapered Optical Fiber Sensor Coated with Single-Walled Carbon Nanotubes for Dye Sensing Application. Micromachines. 14(3). 579–579. 2 indexed citations
4.
Слепченков, М. М., A. Yu. Gerasimenko, Yu. P. Shaman, et al.. (2023). Electrophysical properties of laser-structured carbon nanomaterials functionalized with LaB6 nanoparticles. Diamond and Related Materials. 140. 110512–110512. 2 indexed citations
5.
Fotiadi, Andrei A., Sergey G. Moiseev, D. G. Sannikov, et al.. (2023). Terahertz Generation through Coherent Excitation of Slow Surface Waves in an Array of Carbon Nanotubes. Photonics. 10(12). 1317–1317. 1 indexed citations
6.
Savelyev, Mikhail S., Alexander Yu. Tolbin, А. П. Орлов, et al.. (2023). Nonlinear Optical Response of Dispersed Medium Based on Conjugates Single-Walled Carbon Nanotubes with Phthalocyanines. Photonics. 10(5). 537–537. 3 indexed citations
7.
Лабунов, В. А., et al.. (2020). Effect of Liquid-Phase Oxidative Treatments on the Purity, Hydrophilicity, and Structure of Single-Wall Carbon Nanotubes and on the Electrical Conductivity of Their Arrays. Russian Journal of Applied Chemistry. 93(5). 679–690. 3 indexed citations
8.
9.
Громов, Д. Г., et al.. (2019). Optimization of nanostructures based on Au, Ag, Au Ag nanoparticles formed by thermal evaporation in vacuum for SERS applications. Applied Surface Science. 489. 701–707. 39 indexed citations
10.
Dubkov, Sergey, et al.. (2018). SERS of a-C Thin Film on Ag, Au, Ag<sub>0.52</sub>-Au<sub>0.48</sub> Alloy Nanoparticle Arrays with Normal Particles Size Distribution Formed by Vacuum Thermal Evaporation. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 386. 250–255. 2 indexed citations
11.
Lebedev, É. A., et al.. (2018). Nano-sized Al-Ni energetic powder material for heat release element of thermoelectric device. Journal of Physics Conference Series. 1124. 81027–81027. 1 indexed citations
12.
Blagov, E. V., A. Yu. Gerasimenko, Л. П. Ичкитидзе, et al.. (2016). Development of New Sensitive Broadband Elements of Sensors Based on Carbon Nanotubes. Biomedical Engineering. 49(5). 288–291. 6 indexed citations
13.
14.
Громов, Д. Г., et al.. (2016). Formation of carbon nanotubes on an amorphous Ni25Ta58N17 alloy film by chemical vapor deposition. Semiconductors. 50(13). 1748–1752.
15.
Zhukov, А., et al.. (2014). Effect of the morphology of CNT arrays on the current density of field-emitter matrices. Semiconductors. 48(13). 1742–1746. 4 indexed citations
16.
Лабунов, В. А., et al.. (2013). Femtosecond laser modification of an array of vertically aligned carbon nanotubes intercalated with Fe phase nanoparticles. Nanoscale Research Letters. 8(1). 375–375. 9 indexed citations
17.
Лабунов, В. А., et al.. (2012). Growth of few-wall carbon nanotubes with narrow diameter distribution over Fe-Mo-MgO catalyst by methane/acetylene catalytic decomposition. Nanoscale Research Letters. 7(1). 102–102. 23 indexed citations
18.
Лабунов, В. А., et al.. (2011). Nanocomposite carbon material with ordered structure synthesized using porous aluminum oxide. Nanotechnologies in Russia. 6(3-4). 171–180. 3 indexed citations
19.
Shaman, Yu. P., et al.. (2010). Interstitial diffusion under conditions of trapping of interstitial impurity atoms. Materials Science in Semiconductor Processing. 13(1). 13–20. 1 indexed citations
20.
Saad, A., et al.. (2007). Investigation of the Hydrogen Transport Processes in Crystalline Silicon of n-Type Conductivity. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 131-133. 425–430. 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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