Sergey Shchanikov

637 total citations
37 papers, 470 citations indexed

About

Sergey Shchanikov is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Sergey Shchanikov has authored 37 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Computer Networks and Communications. Recurrent topics in Sergey Shchanikov's work include Advanced Memory and Neural Computing (25 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neural Engineering (7 papers). Sergey Shchanikov is often cited by papers focused on Advanced Memory and Neural Computing (25 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neural Engineering (7 papers). Sergey Shchanikov collaborates with scholars based in Russia, Italy and South Korea. Sergey Shchanikov's co-authors include Alexey Mikhaylov, Victor Kazantsev, Sergey A. Lobov, В. А. Демин, Svetlana A. Gerasimova, Bernardo Spagnolo, Alexey Pimashkin, Yana Pigareva, A. I. Belov and E.G. Gryaznov and has published in prestigious journals such as Nanotechnology, Frontiers in Neuroscience and Chaos Solitons & Fractals.

In The Last Decade

Sergey Shchanikov

32 papers receiving 458 citations

Peers

Sergey Shchanikov

EEE

CMN

SNP

A.L. Fitch Australia

Farnood Merrikh-Bayat Iran

Ram Kaji Budhathoki South Korea

Ahmet Şamil Demirkol Germany

Seong-Ik Cho South Korea

Muhammad Khalid India

Giovanni E. Pazienza Hungary

P. I. Fierens Argentina

Shireesh Kumar India

Hisham Abdalla United States

A.L. Fitch Australia

Sergey Shchanikov

496 ×1.4

EEE

213 ×1.2

CMN

156 ×1.3

256 ×3.2

SNP

53 ×0.7

Citations per year, relative to Sergey Shchanikov Sergey Shchanikov (= 1×) peers A.L. Fitch

Countries citing papers authored by Sergey Shchanikov

Since Specialization

Citations

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

Fields of papers citing papers by Sergey Shchanikov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Shchanikov

This figure shows the co-authorship network connecting the top 25 collaborators of Sergey Shchanikov. A scholar is included among the top collaborators of Sergey Shchanikov 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 Shchanikov. Sergey Shchanikov 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

Sharma, Nipun, et al.. (2025). Artificial diamond as a next generation material for gas sensors. Nanotechnology. 36(33). 332001–332001. 1 indexed citations

Kucherik, A. O., et al.. (2024). Carbyne as a promising material for E-nose applications with machine learning. Nanotechnology. 36(7). 72002–72002.

Koryazhkina, M. N., A. I. Belov, И. Н. Антонов, et al.. (2023). Effect of Training Pulse Parameters on the Synaptic Plasticity of a ZrO₂(Y)‐Based Memristive Device. physica status solidi (a). 220(11). 2 indexed citations

Mikhaylov, Alexey, et al.. (2023). Neuromorphic Computing Based on CMOS-Integrated Memristive Arrays: Current State and Perspectives. Supercomputing Frontiers and Innovations. 10(2). 12 indexed citations

Koryazhkina, M. N., Д. О. Филатов, С. В. Тихов, et al.. (2023). Electrical Characteristics of CMOS-Compatible SiOx-Based Resistive-Switching Devices. Nanomaterials. 13(14). 2082–2082. 2 indexed citations

Shchanikov, Sergey, et al.. (2023). Neuromorphic Analog Machine Vision Enabled by Nanoelectronic Memristive Devices. Applied Sciences. 13(24). 13309–13309. 2 indexed citations

Koryazhkina, M. N., Д. О. Филатов, С. В. Тихов, et al.. (2022). Silicon-Compatible Memristive Devices Tailored by Laser and Thermal Treatments. Journal of Low Power Electronics and Applications. 12(1). 14–14. 3 indexed citations

Hussain, Fayyaz, Daewon Chung, Mehr Khalid Rahmani, et al.. (2022). Memristive Switching and Density-Functional Theory Calculations in Double Nitride Insulating Layers. Micromachines. 13(9). 1498–1498. 1 indexed citations

Makarov, Valeri A., et al.. (2022). Toward Reflective Spiking Neural Networks Exploiting Memristive Devices. Frontiers in Computational Neuroscience. 16. 859874–859874. 33 indexed citations

10.

Koryazhkina, M. N., A. I. Belov, И. Н. Антонов, et al.. (2022). Effect of pulse amplitude on depression and potentiation of ZrO₂(Y)-based memristive synaptic device. Nova Science Publishers (Nova Science Publishers, Inc.). 147–150.

11.

Shchanikov, Sergey, et al.. (2022). The Concept of Neuromorphic Vision Systems based on Memristive Devices. 256–259.

12.

Shchanikov, Sergey, A. I. Belov, Д. С. Королев, et al.. (2021). Memristive Concept of a High-Dimensional Neuron. 3. 96–99. 2 indexed citations

13.

Демин, В. А., A. V. Emelyanov, K. E. Nikiruy, et al.. (2021). Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network. Chaos Solitons & Fractals. 146. 110890–110890. 104 indexed citations

14.

Shchanikov, Sergey. (2021). Methodology for Hardware-in-the-Loop Simulation of Memristive Neuromorphic Systems. Nanobiotechnology Reports. 16(6). 782–789. 3 indexed citations

15.

Mikhaylov, Alexey, Alexey Pimashkin, Yana Pigareva, et al.. (2020). Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics. Frontiers in Neuroscience. 14. 358–358. 144 indexed citations

16.

Shchanikov, Sergey, et al.. (2019). Quantitative determination of fault tolerance of memristor-based artificial neural networks. Journal of Physics Conference Series. 1333(6). 62027–62027. 2 indexed citations

17.

Shchanikov, Sergey, et al.. (2019). Using simulation to define the tolerances for the information and physical parameters of memristors-based artificial neural networks. Journal of Physics Conference Series. 1333(6). 62026–62026. 3 indexed citations

18.

Shchanikov, Sergey, Д. С. Королев, A. I. Belov, et al.. (2019). Design of Multilayer Perceptron Network Based on Metal-Oxide Memristive Devices. 9. 533–538. 3 indexed citations

19.

Shchanikov, Sergey, et al.. (2017). Algorithm for Determining Optimum Operation Tolerances of Memristor-Based Artificial Neural Networks. 140–144. 3 indexed citations

20.

Shchanikov, Sergey, et al.. (2014). Infocommunication systems parameter monitoring by means of artificial neural network devices. 318–319. 4 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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