K. E. Nikiruy

848 total citations
23 papers, 610 citations indexed

About

K. E. Nikiruy is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, K. E. Nikiruy has authored 23 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 13 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in K. E. Nikiruy's work include Advanced Memory and Neural Computing (22 papers), Neuroscience and Neural Engineering (13 papers) and Neural dynamics and brain function (8 papers). K. E. Nikiruy is often cited by papers focused on Advanced Memory and Neural Computing (22 papers), Neuroscience and Neural Engineering (13 papers) and Neural dynamics and brain function (8 papers). K. E. Nikiruy collaborates with scholars based in Russia, Italy and Germany. K. E. Nikiruy's co-authors include A. V. Emelyanov, V. V. Rylkov, В. А. Демин, А. В. Ситников, M. V. Kovalchuk, С. Н. Николаев, П. К. Кашкаров, Д. А. Павлов, Alexey Mikhaylov and A. I. Belov and has published in prestigious journals such as Scientific Reports, Nanotechnology and Neural Networks.

In The Last Decade

K. E. Nikiruy

22 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. E. Nikiruy Russia	13	507	304	171	75	65	23	610
И. Н. Антонов Russia	16	697 1.4×	355 1.2×	188 1.1×	75 1.0×	127 2.0×	90	856
Mirko Hansen Germany	13	381 0.8×	204 0.7×	136 0.8×	92 1.2×	93 1.4×	20	511
T. Hussain United States	12	1.0k 2.0×	372 1.2×	138 0.8×	91 1.2×	119 1.8×	42	1.1k
Yu. V. Pershin United States	9	507 1.0×	201 0.7×	113 0.7×	54 0.7×	55 0.8×	15	608
Jinsong Wei China	12	711 1.4×	364 1.2×	241 1.4×	72 1.0×	68 1.0×	24	761
M. N. Koryazhkina Russia	12	503 1.0×	277 0.9×	183 1.1×	36 0.5×	39 0.6×	34	633
Д. В. Гусейнов Russia	14	561 1.1×	263 0.9×	236 1.4×	52 0.7×	105 1.6×	52	855
Joseph Straznicky United States	12	720 1.4×	233 0.8×	77 0.5×	46 0.6×	61 0.9×	34	766
Adrien F. Vincent France	12	877 1.7×	360 1.2×	211 1.2×	62 0.8×	50 0.8×	26	938
Hyungkwang Lim South Korea	10	585 1.2×	234 0.8×	109 0.6×	95 1.3×	130 2.0×	14	608

Countries citing papers authored by K. E. Nikiruy

Since Specialization

Citations

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

Fields of papers citing papers by K. E. Nikiruy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. E. Nikiruy. 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 K. E. Nikiruy. The network helps show where K. E. Nikiruy may publish in the future.

Co-authorship network of co-authors of K. E. Nikiruy

This figure shows the co-authorship network connecting the top 25 collaborators of K. E. Nikiruy. A scholar is included among the top collaborators of K. E. Nikiruy 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 K. E. Nikiruy. K. E. Nikiruy 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

Nikiruy, K. E., T. Ivanov, Martin Ziegler, et al.. (2024). Next Generation Memristor Reservoir Computing. 912–917.

Nikiruy, K. E., et al.. (2024). Blooming and pruning: learning from mistakes with memristive synapses. Scientific Reports. 14(1). 7802–7802. 5 indexed citations

Emelyanov, A. V., et al.. (2023). Adapted MLP-Mixer network based on crossbar arrays of fast and multilevel switching (Co–Fe–B)_x(LiNbO₃)_100−x nanocomposite memristors. Nanoscale Horizons. 9(2). 238–247. 19 indexed citations

Emelyanov, A. V., K. E. Nikiruy, В. А. Демин, et al.. (2023). Compact Model for Describing the Plasticity of Memristors Based on Nanolayers of LiNbO3 and (Co–Fe–B)х(LiNbO3)100–х Composite According to the Biosimilar STDP Rule. Nanobiotechnology Reports. 18(S2). S421–S426. 2 indexed citations

Nikiruy, K. E., et al.. (2022). Arrays of Nanocomposite Crossbar Memristors for the Implementation of Formal and Spiking Neuromorphic Systems. Nanobiotechnology Reports. 17(1). 118–125. 5 indexed citations

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

Nikiruy, K. E., A. V. Emelyanov, А. В. Ситников, V. V. Rylkov, & В. А. Демин. (2021). Temporal Coding of Binary Patterns for Learning of Spiking Neuromorphic Systems Based on Nanocomposite Memristors. Nanobiotechnology Reports. 16(6). 732–736. 1 indexed citations

Демин, В. А., K. E. Nikiruy, A. V. Emelyanov, et al.. (2020). Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network. Neural Networks. 134. 64–75. 92 indexed citations

Nikiruy, K. E., et al.. (2020). Spike‐Timing‐Dependent and Spike‐Shape‐Independent Plasticities with Dopamine‐Like Modulation in Nanocomposite Memristive Synapses. physica status solidi (a). 217(18). 13 indexed citations

10.

Nikiruy, K. E., et al.. (2020). Memristors Based on Nanoscale Layers LiNbO3 and (Co40Fe40B20)x(LiNbO3)100 – x. Physics of the Solid State. 62(9). 1732–1735. 4 indexed citations

11.

Rylkov, V. V., A. V. Emelyanov, С. Н. Николаев, et al.. (2020). Transport Properties of Magnetic Nanogranular Composites with Dispersed Ions in an Insulating Matrix. Journal of Experimental and Theoretical Physics. 131(1). 160–176. 26 indexed citations

12.

Emelyanov, A. V., K. E. Nikiruy, А. В. Ситников, et al.. (2019). Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights. Nanotechnology. 31(4). 45201–45201. 68 indexed citations

13.

Nikiruy, K. E., A. V. Emelyanov, В. А. Демин, et al.. (2019). Dopamine-like STDP modulation in nanocomposite memristors. AIP Advances. 9(6). 37 indexed citations

14.

Миннеханов, А. А., M. N. Martyshov, K. E. Nikiruy, et al.. (2019). On the resistive switching mechanism of parylene-based memristive devices. Organic Electronics. 74. 89–95. 45 indexed citations

15.

Emelyanov, A. V., et al.. (2019). SYNAPTIC PLASTICITY OF MEMRISTIVE STRUCTURES BASED ON POLY-P-XYLYLENE. Nanotechnologies in Russia. 14(1-2). 1–6. 4 indexed citations

16.

Rylkov, V. V., А. В. Ситников, С. Н. Николаев, et al.. (2019). Properties of Nanocomposites With Different Concentrations of Magnetic Ions in an Insulating Matrix. IEEE Magnetics Letters. 10. 1–4. 4 indexed citations

17.

Nikiruy, K. E., A. V. Emelyanov, V. V. Rylkov, et al.. (2019). Formation of a Memristive Array of Crossbar-Structures Based on (Co40Fe40B20)x(LiNbO3)100 Nanocomposite. Journal of Communications Technology and Electronics. 64(10). 1135–1139. 3 indexed citations

18.

Nikiruy, K. E., A. V. Emelyanov, V. V. Rylkov, А. В. Ситников, & В. А. Демин. (2019). Adaptive Properties of Spiking Neuromorphic Networks with Synapses Based on Memristive Elements. Technical Physics Letters. 45(4). 386–390. 17 indexed citations

19.

Rylkov, V. V., С. Н. Николаев, В. А. Демин, et al.. (2018). Transport, Magnetic, and Memristive Properties of a Nanogranular (CoFeB) x (LiNbO y )100–x Composite Material. Journal of Experimental and Theoretical Physics. 126(3). 353–367. 51 indexed citations

20.

Nikiruy, K. E., A. V. Emelyanov, В. А. Демин, et al.. (2018). A Precise Algorithm of Memristor Switching to a State with Preset Resistance. Technical Physics Letters. 44(5). 416–419. 29 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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