Natalia V. Alexeeva

440 total citations
21 papers, 318 citations indexed

About

Natalia V. Alexeeva is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Natalia V. Alexeeva has authored 21 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 14 papers in Electrical and Electronic Engineering and 3 papers in Biomedical Engineering. Recurrent topics in Natalia V. Alexeeva's work include Semiconductor Quantum Structures and Devices (12 papers), Terahertz technology and applications (10 papers) and Quantum and electron transport phenomena (4 papers). Natalia V. Alexeeva is often cited by papers focused on Semiconductor Quantum Structures and Devices (12 papers), Terahertz technology and applications (10 papers) and Quantum and electron transport phenomena (4 papers). Natalia V. Alexeeva collaborates with scholars based in United Kingdom, Lithuania and Finland. Natalia V. Alexeeva's co-authors include K. N. Alekseev, Timo Hyart, Mark A. Arnold, A. V. Shorokhov, N. V. Demarina, M. V. Gorkunov, A. G. Balanov, M. T. Greenaway, F. V. Kusmartsev and M. B. Gaifullin and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Europhysics Letters (EPL).

In The Last Decade

Natalia V. Alexeeva

20 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalia V. Alexeeva United Kingdom 11 209 171 48 42 31 21 318
M. Rosenau da Costa Brazil 8 213 1.0× 171 1.0× 140 2.9× 12 0.3× 77 2.5× 11 344
Yonathan Japha Israel 13 570 2.7× 51 0.3× 36 0.8× 29 0.7× 21 0.7× 36 612
F. Löser Germany 8 283 1.4× 135 0.8× 34 0.7× 45 1.1× 21 0.7× 15 318
Andrey Pereverzev United States 13 143 0.7× 45 0.3× 178 3.7× 42 1.0× 20 0.6× 27 371
Emmanuel Baudin France 11 239 1.1× 108 0.6× 132 2.8× 35 0.8× 52 1.7× 30 359
Marek T. Michalewicz Australia 12 184 0.9× 70 0.4× 158 3.3× 41 1.0× 16 0.5× 32 369
Tomohiro Tamaya Japan 6 586 2.8× 209 1.2× 108 2.3× 33 0.8× 72 2.3× 9 642
Ji-Bing Liu China 15 622 3.0× 148 0.9× 20 0.4× 12 0.3× 39 1.3× 64 700
Andrew Pan United States 13 385 1.8× 427 2.5× 59 1.2× 41 1.0× 56 1.8× 29 696

Countries citing papers authored by Natalia V. Alexeeva

Since Specialization
Citations

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

Fields of papers citing papers by Natalia V. Alexeeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia V. Alexeeva. 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 Natalia V. Alexeeva. The network helps show where Natalia V. Alexeeva may publish in the future.

Co-authorship network of co-authors of Natalia V. Alexeeva

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia V. Alexeeva. A scholar is included among the top collaborators of Natalia V. Alexeeva 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 Natalia V. Alexeeva. Natalia V. Alexeeva 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.
Alexeeva, Natalia V., et al.. (2023). Coexistence of Bloch and Parametric Mechanisms of High-Frequency Gain in Doped Superlattices. Nanomaterials. 13(13). 1993–1993. 2 indexed citations
2.
Alexeeva, Natalia V., et al.. (2023). Sum-frequency generation and amplification processes in semiconductor superlattices. Lithuanian Journal of Physics. 63(3). 1 indexed citations
3.
Ikamas, Kȩstutis, Alvydas Lisauskas, Natalia V. Alexeeva, et al.. (2022). Terahertz structured light: nonparaxial Airy imaging using silicon diffractive optics. Light Science & Applications. 11(1). 326–326. 45 indexed citations
4.
Alexeeva, Natalia V., D. Seliuta, Timo Hyart, et al.. (2022). Dissipative Parametric Gain in a GaAs/AlGaAs Superlattice. Physical Review Letters. 128(23). 236802–236802. 5 indexed citations
5.
Kašalynas, Irmantas, et al.. (2022). Green Removal of DUV-Polarity-Modified PMMA for Wet Transfer of CVD Graphene. Nanomaterials. 12(22). 4017–4017. 3 indexed citations
6.
7.
Janonis, Vytautas, I. Grigelionis, Linas Minkevičius, et al.. (2020). Electrically-pumped THz emitters based on plasma waves excitation in III-nitride structures. 8–8. 3 indexed citations
8.
Felix, Jorlandio F., Sukarno Olavo Ferreira, Y. Galvão Gobato, et al.. (2020). Investigation of the structural, optical and electrical properties of indium-doped TiO2 thin films grown by Pulsed Laser Deposition technique on low and high index GaAs planes. Materials Science and Engineering B. 259. 114578–114578. 13 indexed citations
9.
Gaifullin, M. B., Natalia V. Alexeeva, Alexander E. Hramov, et al.. (2017). Microwave Generation in Synchronized Semiconductor Superlattices. Physical Review Applied. 7(4). 8 indexed citations
10.
Fromhold, T. M., M. T. Greenaway, Natalia V. Alexeeva, et al.. (2016). Controlling and enhancing high frequency collective electron dynamics in superlattices by chaos-assisted miniband transport. Bulletin of the American Physical Society. 2016. 1 indexed citations
11.
Hramov, Alexander E., V. V. Makarov, А. А. Короновский, et al.. (2014). Subterahertz Chaos Generation by Coupling a Superlattice to a Linear Resonator. Physical Review Letters. 112(11). 116603–116603. 36 indexed citations
12.
Alexeeva, Natalia V., M. T. Greenaway, A. G. Balanov, et al.. (2012). Controlling High-Frequency Collective Electron Dynamics via Single-Particle Complexity. Physical Review Letters. 109(2). 24102–24102. 25 indexed citations
13.
Alexeeva, Natalia V. & Mark A. Arnold. (2010). Impact of Tissue Heterogeneity on Noninvasive Near-Infrared Glucose Measurements in Interstitial Fluid of Rat Skin. Journal of Diabetes Science and Technology. 4(5). 1041–1054. 13 indexed citations
14.
Hyart, Timo, et al.. (2009). Terahertz Bloch Oscillator with a Modulated Bias. Physical Review Letters. 102(14). 140405–140405. 36 indexed citations
15.
Hyart, Timo, et al.. (2009). Possible THz Bloch gain in dc–ac-driven superlattices. Microelectronics Journal. 40(4-5). 719–721. 4 indexed citations
16.
Alekseev, K. N., M. V. Gorkunov, N. V. Demarina, et al.. (2006). Suppressed absolute negative conductance and generation of high-frequency radiation in semiconductor superlattices. Europhysics Letters (EPL). 73(6). 934–940. 36 indexed citations
17.
Alekseev, K. N., M. V. Gorkunov, N. V. Demarina, et al.. (2006). Suppressed absolute negative conductance and generation of high-frequency radiation in semiconductor superlattices. Europhysics Letters (EPL). 74(3). 567–567. 18 indexed citations
18.
Hyart, Timo, et al.. (2006). Terahertz parametric gain in semiconductor superlattices in the absence of electric domains. Applied Physics Letters. 89(13). 17 indexed citations
19.
Koikov, L. N., et al.. (1998). Oximes, amidoximes and hydroxamic acids as nitric oxide donors. Mendeleev Communications. 8(4). 165–168. 23 indexed citations
20.
Koikov, L. N., et al.. (1996). Oximes of quinuclidin-3-ones as nitric oxide donors. Mendeleev Communications. 6(3). 94–96. 6 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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