Sergey Savel’ev

10.5k total citations · 2 hit papers
201 papers, 7.4k citations indexed

About

Sergey Savel’ev is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Sergey Savel’ev has authored 201 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Atomic and Molecular Physics, and Optics, 86 papers in Condensed Matter Physics and 58 papers in Statistical and Nonlinear Physics. Recurrent topics in Sergey Savel’ev's work include Physics of Superconductivity and Magnetism (80 papers), Quantum and electron transport phenomena (45 papers) and stochastic dynamics and bifurcation (43 papers). Sergey Savel’ev is often cited by papers focused on Physics of Superconductivity and Magnetism (80 papers), Quantum and electron transport phenomena (45 papers) and stochastic dynamics and bifurcation (43 papers). Sergey Savel’ev collaborates with scholars based in United Kingdom, Japan and United States. Sergey Savel’ev's co-authors include Franco Nori, Fabio Marchesoni, V. A. Yampol’skiı̆, J. Joshua Yang, R. Stanley Williams, Mark Barnell, Hao Jiang, Saumil Joshi, Qing Wu and Zhongrui Wang and has published in prestigious journals such as Science, Physical Review Letters and Advanced Materials.

In The Last Decade

Sergey Savel’ev

194 papers receiving 7.3k citations

Hit Papers

Memristors with diffusive... 2016 2026 2019 2022 2016 2017 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sergey Savel’ev 3.5k 2.8k 1.8k 1.5k 1.4k 201 7.4k
Konstantin K. Likharev 5.2k 1.5× 1.9k 0.7× 1.1k 0.6× 296 0.2× 1.7k 1.2× 88 6.5k
Massimiliano Di Ventra 10.9k 3.2× 5.0k 1.8× 558 0.3× 1.6k 1.1× 2.2k 1.6× 267 15.5k
Julie Grollier 5.9k 1.7× 5.2k 1.8× 1.7k 0.9× 188 0.1× 815 0.6× 131 9.8k
R. M. Shelby 8.6k 2.5× 5.2k 1.8× 200 0.1× 250 0.2× 1.0k 0.7× 149 13.0k
Heiner Linke 1.5k 0.4× 2.4k 0.9× 596 0.3× 2.4k 1.6× 110 0.1× 198 6.2k
Wolfgang Porod 6.5k 1.9× 5.0k 1.8× 528 0.3× 344 0.2× 83 0.1× 323 9.4k
L. L. Bonilla 810 0.2× 1.9k 0.7× 801 0.4× 1.9k 1.3× 115 0.1× 207 5.7k
Massimiliano Esposito 634 0.2× 4.1k 1.5× 278 0.2× 6.9k 4.6× 180 0.1× 168 8.3k
Hanoch Gutfreund 825 0.2× 820 0.3× 1.1k 0.6× 724 0.5× 150 0.1× 89 4.4k
M. D. Stiles 4.8k 1.4× 11.0k 3.9× 4.3k 2.3× 141 0.1× 156 0.1× 160 13.3k

Countries citing papers authored by Sergey Savel’ev

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Savel’ev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey Savel’ev. 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 Sergey Savel’ev. The network helps show where Sergey Savel’ev may publish in the future.

Co-authorship network of co-authors of Sergey Savel’ev

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Savel’ev. A scholar is included among the top collaborators of Sergey Savel’ev 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 Sergey Savel’ev. Sergey Savel’ev 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.
Sharma, Y. D., et al.. (2024). Stress-induced artificial neuron spiking in diffusive memristors. SHILAP Revista de lepidopterología. 3(1). 163–163. 3 indexed citations
2.
Hatnean, Monica Ciomaga, Mark C. Rosamond, Niladri Banerjee, et al.. (2024). Flux-pinning mediated superconducting diode effect in NbSe2/CrGeTe3 heterostructure. 2D Materials. 11(2). 21002–21002.
3.
Scherbakov, A. V., Achim Nadzeyka, R. P. Campion, et al.. (2023). On-chip phonon-magnon reservoir for neuromorphic computing. Nature Communications. 14(1). 8296–8296. 22 indexed citations
4.
Balanov, A. G., et al.. (2023). Gamma radiation-induced nanodefects in diffusive memristors and artificial neurons. Nanoscale. 15(38). 15665–15674. 8 indexed citations
5.
Navez, Patrick, A. G. Balanov, Sergey Savel’ev, & A. M. Zagoskin. (2023). Quantum electrodynamics of non-demolition detection of single microwave photon by superconducting qubit array. Journal of Applied Physics. 133(10). 1 indexed citations
6.
Savel’ev, Sergey, et al.. (2022). Nonstationary Generalised Autoregressive Conditional Heteroskedasticity Modelling for Fitting Higher Order Moments of Financial Series within Moving Time Windows. SHILAP Revista de lepidopterología. 2022. 1–19. 1 indexed citations
7.
Savel’ev, Sergey, et al.. (2022). An investigation of higher order moments of empirical financial data and their implications to risk. Heliyon. 8(2). e08833–e08833. 2 indexed citations
9.
Balanov, A. G., et al.. (2021). Deterministic modeling of the diffusive memristor. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(7). 73111–73111. 7 indexed citations
10.
Balanov, A. G., et al.. (2021). Transition from noise-induced to self-sustained current spiking generated by a NbOx thin film threshold switch. Applied Physics Letters. 118(2). 8 indexed citations
11.
Navez, Patrick, A. G. Balanov, Sergey Savel’ev, & A. M. Zagoskin. (2021). Towards the Heisenberg limit in microwave photon detection by a qubit array. Physical review. B.. 103(6). 2 indexed citations
12.
Chesca, Boris, M. B. Gaifullin, Jonathan A. Cox, et al.. (2020). Magnetic flux quantum periodicity of the frequency of the on-chip detectable electromagnetic radiation from superconducting flux-flow-oscillators. Applied Physics Letters. 117(14). 4 indexed citations
13.
Balanov, A. G., et al.. (2020). Intermittent and metastable chaos in a memristive artificial neuron with inertia. Chaos Solitons & Fractals. 142. 110383–110383. 11 indexed citations
14.
Berdiyorov, G. R., M. V. Miloševıć, F. V. Kusmartsev, F. M. Peeters, & Sergey Savel’ev. (2018). Josephson vortex loops in nanostructured Josephson junctions. Scientific Reports. 8(1). 2733–2733. 11 indexed citations
15.
Savel’ev, Sergey & A. M. Zagoskin. (2018). Renninger’s Gedankenexperiment, the collapse of the wave function in a rigid quantum metamaterial and the reality of the quantum state vector. Scientific Reports. 8(1). 9608–9608. 1 indexed citations
16.
Jiang, Hao, Daniel Belkin, Sergey Savel’ev, et al.. (2017). A novel true random number generator based on a stochastic diffusive memristor. Nature Communications. 8(1). 882–882. 339 indexed citations
17.
Wang, Zhongrui, Saumil Joshi, Sergey Savel’ev, et al.. (2016). Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing. Nature Materials. 16(1). 101–108. 1899 indexed citations breakdown →
18.
Yi, Wei, Sergey Savel’ev, G. Medeiros‐Ribeiro, et al.. (2016). Quantized conductance coincides with state instability and excess noise in tantalum oxide memristors. Nature Communications. 7(1). 11142–11142. 106 indexed citations
19.
Shevchenko, S. N., A. N. Omelyanchouk, A. M. Zagoskin, Sergey Savel’ev, & Franco Nori. (2007). Distinguishing quantum from classical Rabi oscillations in a phase qubit. arXiv (Cornell University). 1 indexed citations
20.
Savel’ev, Sergey, et al.. (1996). Microscopic critical-state model for a hard superconductor. JETP. 83(3). 570–581. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026