О. А. Агеев

1.8k total citations
137 papers, 1.3k citations indexed

About

О. А. Агеев is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, О. А. Агеев has authored 137 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Electrical and Electronic Engineering, 68 papers in Materials Chemistry and 52 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in О. А. Агеев's work include Carbon Nanotubes in Composites (33 papers), Advanced Memory and Neural Computing (25 papers) and Force Microscopy Techniques and Applications (22 papers). О. А. Агеев is often cited by papers focused on Carbon Nanotubes in Composites (33 papers), Advanced Memory and Neural Computing (25 papers) and Force Microscopy Techniques and Applications (22 papers). О. А. Агеев collaborates with scholars based in Russia, United Kingdom and Belarus. О. А. Агеев's co-authors include V. A. Smirnov, Б. Г. Коноплев, O. I. Il’in, M. V. Il’ina, Evgeny Zamburg, R V Tominov, Alexander Alekseev, Evgeniy Tkalya, Joachim Loos and Marcos Gomes Ghislandi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Advanced Functional Materials.

In The Last Decade

О. А. Агеев

122 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
О. А. Агеев Russia 19 785 616 372 315 276 137 1.3k
Dagou A. Zeze United Kingdom 21 708 0.9× 608 1.0× 476 1.3× 278 0.9× 192 0.7× 84 1.3k
I. Goldfarb Israel 21 951 1.2× 414 0.7× 161 0.4× 665 2.1× 155 0.6× 69 1.6k
Tae‐Sik Yoon South Korea 25 2.0k 2.6× 755 1.2× 302 0.8× 208 0.7× 689 2.5× 164 2.5k
David J. Poxson United States 18 819 1.0× 294 0.5× 431 1.2× 244 0.8× 174 0.6× 35 1.4k
Dooho Choi South Korea 20 918 1.2× 529 0.9× 119 0.3× 187 0.6× 236 0.9× 53 1.2k
Guofang Zhong United Kingdom 24 621 0.8× 1.6k 2.5× 451 1.2× 222 0.7× 91 0.3× 59 1.9k
Tai-Fa Young Taiwan 21 813 1.0× 412 0.7× 101 0.3× 93 0.3× 237 0.9× 57 1.1k
Marina Y. Timmermans Belgium 13 892 1.1× 1.2k 2.0× 831 2.2× 239 0.8× 282 1.0× 41 1.9k
Wee‐Liat Ong China 20 878 1.1× 968 1.6× 563 1.5× 196 0.6× 38 0.1× 55 1.6k
Georg Jakopič Austria 21 885 1.1× 373 0.6× 554 1.5× 163 0.5× 315 1.1× 76 1.4k

Countries citing papers authored by О. А. Агеев

Since Specialization
Citations

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

Fields of papers citing papers by О. А. Агеев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of О. А. Агеев

This figure shows the co-authorship network connecting the top 25 collaborators of О. А. Агеев. A scholar is included among the top collaborators of О. А. Агеев 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 О. А. Агеев. О. А. Агеев 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.
Atamanchuk, A., et al.. (2023). Sublimation Mechanism for Polishing Silicon Carbide Wafers by Electron Beam. Russian Microelectronics. 52(S1). S176–S178.
2.
Wang, Shaobin, Zuobin Wang, Xianyue Ren, et al.. (2023). Terahertz All-Dielectric Metalens: Design and Fabrication Features. Russian Microelectronics. 52(S1). S145–S150. 1 indexed citations
3.
Il’in, O. I., et al.. (2022). Controlling the parameters of focused ion beam for ultra-precise fabrication of nanostructures. Ultramicroscopy. 234. 113481–113481. 11 indexed citations
4.
Агеев, О. А., et al.. (2022). Formation of Nanosized Structures on the Silicon Surface by a Combination of Focused Ion Beam Methods and Plasma-Chemical Etching. Russian Microelectronics. 51(4). 236–242. 3 indexed citations
5.
Il’ina, M. V., et al.. (2022). Pyrrole-like defects as origin of piezoelectric effect in nitrogen-doped carbon nanotubes. Carbon. 190. 348–358. 28 indexed citations
6.
Tominov, R V, et al.. (2022). Nanoscale-Resistive Switching in Forming-Free Zinc Oxide Memristive Structures. Nanomaterials. 12(3). 455–455. 13 indexed citations
7.
Агеев, О. А., et al.. (2020). Anomalous behavior of In adatoms during droplet epitaxy on the AlGaAs surfaces. Nanotechnology. 31(48). 485604–485604. 4 indexed citations
8.
Tominov, R V, et al.. (2020). Formation, Phase Composition and Memristive Properties of Titanium Oxide Nanodots. MDPI (MDPI AG). 44–44.
9.
Ouvrard, A., et al.. (2020). Control of binary states of ferroic orders in bi-domain BiFeO3 nanoislands. Applied Physics Letters. 116(19). 2 indexed citations
10.
Il’in, O. I., et al.. (2019). Lithium Niobate Films for Piezoelectric Nanogenerators Based on Hybrid Carbon Nanostructures. 260–262. 1 indexed citations
11.
Агеев, О. А., et al.. (2019). Role of the wetting layer in the crystallization stage during droplet epitaxy of InAs/GaAs nanostructures. Journal of Physics Conference Series. 1410(1). 12059–12059.
12.
Агеев, О. А., et al.. (2019). Electron beam processing of 6H-SiC substrate to obtain graphene-like carbon films. IOP Conference Series Materials Science and Engineering. 699(1). 12017–12017.
13.
Агеев, О. А., et al.. (2018). Hybrid Analytical–Monte Carlo Model of In/GaAs(001) Droplet Epitaxy: Theory and Experiment. physica status solidi (b). 255(4). 18 indexed citations
14.
Il’ina, M. V., et al.. (2017). Model of resistive switching in a nonuniformly strained carbon nanotube. Bulletin of the Russian Academy of Sciences Physics. 81(12). 1485–1489. 1 indexed citations
15.
Tominov, R V, et al.. (2017). Investigation of resistive switching of ZnxTiyHfzOi nanocomposite for RRAM elements manufacturing. Journal of Physics Conference Series. 917. 32023–32023. 12 indexed citations
16.
Агеев, О. А., et al.. (2016). Investigation of memristor effect on the titanium nanowires fabricated by focused ion beam. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10224. 102240T–102240T. 7 indexed citations
17.
Конакова, Р. В., et al.. (2016). Field emission properties of pointed cathodes based on graphene films on SiC. Journal of Superhard Materials. 38(4). 235–240. 10 indexed citations
18.
Агеев, О. А., et al.. (2016). Nanometer field emission structures on the basis of graphene on SiC with local change of the emitting surface. AIP conference proceedings. 1772. 40010–40010. 4 indexed citations
19.
Агеев, О. А., et al.. (2015). Study of the resistive switching of vertically aligned carbon nanotubes by scanning tunneling microscopy. Physics of the Solid State. 57(4). 825–831. 24 indexed citations
20.
Агеев, О. А., et al.. (2014). Effect of Annealing on Conductivity Type of Nanocrystalline ZnO Films Fabricated by RF Magnetron Sputtering. Advanced materials research. 893. 539–542. 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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