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, Qing Wu, Saumil Joshi, Rivu Midya, Qiangfei Xia and Hao Jiang 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

2016 1.9k citations Zhongrui Wang, Saumil Joshi et al. Nature Materials profile →
Anatomy of Ag/Hafnia‐Based Selectors with 10¹⁰ Nonlinearity

2017 324 citations Rivu Midya, Zhongrui Wang et al. profile →

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Stress-induced artificial neuron spiking in diffusive memristors 2024 ·SHILAP Revista de lepidopterología ·(unknown), Y. D. Sharma, Sergey Savel’ev, Pavel Borisov, (unknown), A. G. Balanov, Pedro Ferreira	3
2	Flux-pinning mediated superconducting diode effect in NbSe₂/CrGeTe₃ heterostructure 2024 ·2D Materials ·(unknown), Monica Ciomaga Hatnean, Mark C. Rosamond, Niladri Banerjee, G. Balakrishnan, Sergey Savel’ev, F. K. Dejene	0
3	Gamma radiation-induced nanodefects in diffusive memristors and artificial neurons 2023 ·Nanoscale ·(unknown), (unknown), (unknown), (unknown), A. G. Balanov, Sergey Savel’ev, Pavel Borisov	8
4	On-chip phonon-magnon reservoir for neuromorphic computing 2023 ·Nature Communications ·(unknown), A. V. Scherbakov, (unknown), (unknown), Achim Nadzeyka, R. P. Campion, A. W. Rushforth, Sergey Savel’ev, A. G. Balanov, M. Bayer	22
5	Quantum electrodynamics of non-demolition detection of single microwave photon by superconducting qubit array 2023 ·Journal of Applied Physics ·Patrick Navez, A. G. Balanov, Sergey Savel’ev, A. M. Zagoskin	1
6	Nonstationary Generalised Autoregressive Conditional Heteroskedasticity Modelling for Fitting Higher Order Moments of Financial Series within Moving Time Windows 2022 ·SHILAP Revista de lepidopterología ·(unknown), Sergey Savel’ev	1
7	Engineering ultrastrong coupling between Josephson plasmon polaritons and subwavelength microcavity arrays in silicon/van der Waals layered superconductor heterostructure for terahertz hybrid circuit cavity quantum electrodynamics 2022 ·Physical review. B. ·(unknown), Sergey Savel’ev, Kaveh Delfanazari	10
8	Transition from noise-induced to self-sustained current spiking generated by a NbOx thin film threshold switch 2021 ·Applied Physics Letters ·(unknown), (unknown), A. G. Balanov, Sergey Savel’ev, Pavel Borisov	8
9	Deterministic modeling of the diffusive memristor 2021 ·Chaos An Interdisciplinary Journal of Nonlinear Science ·(unknown), (unknown), A. G. Balanov, Sergey Savel’ev	7
10	Towards the Heisenberg limit in microwave photon detection by a qubit array 2021 ·Physical review. B. ·Patrick Navez, A. G. Balanov, Sergey Savel’ev, A. M. Zagoskin	2
11	Magnetic flux quantum periodicity of the frequency of the on-chip detectable electromagnetic radiation from superconducting flux-flow-oscillators 2020 ·Applied Physics Letters ·Boris Chesca, (unknown), M. B. Gaifullin, Jonathan A. Cox, Aidan Murphy, Sergey Savel’ev, Christopher J. Mellor	4
12	Intermittent and metastable chaos in a memristive artificial neuron with inertia 2020 ·Chaos Solitons & Fractals ·(unknown), A. G. Balanov, Sergey Savel’ev	11
13	Josephson vortex loops in nanostructured Josephson junctions 2018 ·Scientific Reports ·G. R. Berdiyorov, M. V. Miloševıć, F. V. Kusmartsev, F. M. Peeters, Sergey Savel’ev	11
14	A novel true random number generator based on a stochastic diffusive memristor 2017 ·Nature Communications ·Hao Jiang, Daniel Belkin, Sergey Savel’ev, Siyan Lin, Zhongrui Wang, Yunning Li, Saumil Joshi, Rivu Midya, Can Li, Mingyi Rao, Mark Barnell, Qing Wu, J. Joshua Yang, Qiangfei Xia	339
15	Quantized conductance coincides with state instability and excess noise in tantalum oxide memristors 2016 ·Nature Communications ·Wei Yi, Sergey Savel’ev, G. Medeiros‐Ribeiro, Feng Miao, (unknown), J. Joshua Yang, Alexander Bratkovsky, R. Stanley Williams	106
16	Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing breakdown → 2016 ·Nature Materials ·Zhongrui Wang, Saumil Joshi, Sergey Savel’ev, Hao Jiang, Rivu Midya, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Zhiyong Li, Qing Wu, Mark Barnell, Geng‐Lin Li, Huolin L. Xin, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang	1899
17	Asymmetry in shape causing absolute negative mobility 2010 ·Physical Review E ·Peter Hänggi, Fabio Marchesoni, Sergey Savel’ev, Gerhard Schmid	47
18	Distinguishing quantum from classical Rabi oscillations in a phase qubit 2007 ·arXiv (Cornell University) ·S. N. Shevchenko, A. N. Omelyanchouk, A. M. Zagoskin, Sergey Savel’ev, Franco Nori	1
19	Microscopic critical-state model for a hard superconductor 1996 ·JETP ·Sergey Savel’ev, (unknown)	1
20	Nonlocal effects in a model of the critical state 1995 ·Journal of Experimental and Theoretical Physics ·(unknown), Sergey Savel’ev	1

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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