А. А. Миннеханов

710 total citations
42 papers, 481 citations indexed

About

А. А. Миннеханов is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, А. А. Миннеханов has authored 42 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 20 papers in Cellular and Molecular Neuroscience and 11 papers in Materials Chemistry. Recurrent topics in А. А. Миннеханов's work include Advanced Memory and Neural Computing (23 papers), Neuroscience and Neural Engineering (18 papers) and Photoreceptor and optogenetics research (14 papers). А. А. Миннеханов is often cited by papers focused on Advanced Memory and Neural Computing (23 papers), Neuroscience and Neural Engineering (18 papers) and Photoreceptor and optogenetics research (14 papers). А. А. Миннеханов collaborates with scholars based in Russia, Italy and Belarus. А. А. Миннеханов's co-authors include A. V. Emelyanov, В. А. Демин, Е. А. Константинова, V. V. Rylkov, П. К. Кашкаров, П. А. Форш, Victor Erokhin, С. Н. Чвалун, K. E. Nikiruy and Г. В. Трусов and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

А. А. Миннеханов

38 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. А. Миннеханов Russia 15 339 197 128 111 80 42 481
Jie Lao China 15 590 1.7× 161 0.8× 170 1.3× 176 1.6× 48 0.6× 20 680
Nasir Ilyas China 12 471 1.4× 216 1.1× 188 1.5× 66 0.6× 29 0.4× 21 576
Natacha Ohannessian Switzerland 6 306 0.9× 59 0.3× 141 1.1× 27 0.2× 34 0.4× 6 407
Zehui Peng China 11 348 1.0× 138 0.7× 144 1.1× 24 0.2× 23 0.3× 37 435
P. K. Gaikwad India 10 335 1.0× 104 0.5× 97 0.8× 27 0.2× 35 0.4× 18 425
Jialin Meng China 12 705 2.1× 329 1.7× 124 1.0× 35 0.3× 40 0.5× 37 771
Wenjia Ma China 9 382 1.1× 135 0.7× 107 0.8× 66 0.6× 14 0.2× 25 455
Pushpendra Singh India 9 112 0.3× 60 0.3× 102 0.8× 121 1.1× 39 0.5× 23 306
Qi Lin China 12 345 1.0× 62 0.3× 222 1.7× 19 0.2× 27 0.3× 29 443
Bin‐Wei Yao China 8 544 1.6× 246 1.2× 200 1.6× 42 0.4× 20 0.3× 10 646

Countries citing papers authored by А. А. Миннеханов

Since Specialization
Citations

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

Fields of papers citing papers by А. А. Миннеханов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. А. Миннеханов

This figure shows the co-authorship network connecting the top 25 collaborators of А. А. Миннеханов. A scholar is included among the top collaborators of А. А. Миннеханов 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 А. А. Миннеханов. А. А. Миннеханов 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.
Kruglov, Ivan A., Georgy A. Ermolaev, I. E. Trofimov, et al.. (2024). Artificial intelligence guided search for van der Waals materials with high optical anisotropy. Materials Horizons. 12(6). 1953–1961.
2.
Battistoni, Silvia, А. А. Миннеханов, S. A. Zav’yalov, et al.. (2023). Combination of Organic‐Based Reservoir Computing and Spiking Neuromorphic Systems for a Robust and Efficient Pattern Classification. SHILAP Revista de lepidopterología. 5(6). 42 indexed citations
3.
Миннеханов, А. А., et al.. (2023). Reliable Memristive Synapses Based on Parylene-MoOx Nanocomposites for Neuromorphic Applications. ACS Applied Materials & Interfaces. 15(47). 54996–55008. 14 indexed citations
4.
Миннеханов, А. А., A. V. Emelyanov, М. Л. Занавескин, et al.. (2022). Parylene-based memristive crossbar structures with multilevel resistive switching for neuromorphic computing. Nanotechnology. 33(25). 255201–255201. 20 indexed citations
5.
Миннеханов, А. А., et al.. (2022). Photoinduced Dynamics of Radicals in N- and Nb-Codoped Titania Nanocrystals with Enhanced Photocatalysis: Experiment and Modeling. Crystal Growth & Design. 22(7). 4288–4297. 7 indexed citations
6.
Emelyanov, A. V., et al.. (2022). Nanocomposite parylene-C memristors with embedded Ag nanoparticles for biomedical data processing. Organic Electronics. 102. 106455–106455. 18 indexed citations
7.
Rybka, Roman, et al.. (2022). Reinforcement learning in a spiking neural network with memristive plasticity. 300–302. 1 indexed citations
8.
Миннеханов, А. А., A. V. Emelyanov, Е. В. Кукуева, et al.. (2021). Parylene-based memristive synapses for hardware neural networks capable of dopamine-modulated STDP learning. Journal of Physics D Applied Physics. 54(48). 484002–484002. 14 indexed citations
9.
Lapkin, Dmitry, A. V. Emelyanov, А. А. Миннеханов, et al.. (2020). Associative STDP-like learning of neuromorphic circuits based on polyaniline memristive microdevices. Journal of Physics D Applied Physics. 53(41). 414001–414001. 26 indexed citations
10.
Миннеханов, А. А., et al.. (2020). Conductance Quantization in Memristive Structures Based on Poly-p-Xylylene. Semiconductors. 54(9). 1103–1107. 2 indexed citations
11.
Emelyanov, A. V., А. А. Миннеханов, A. Yu. Vdovichenko, et al.. (2020). Memristors Based on Poly(p-xylylene) with Embedded Silver Nanoparticles. Technical Physics Letters. 46(1). 73–76. 14 indexed citations
12.
Константинова, Е. А., et al.. (2020). Nanostructured Microspheres Based on Titanium Nano-Oxide with the Function of Accumulation of a Charge for Prolonged Catalysis. Journal of Experimental and Theoretical Physics Letters. 112(8). 527–531. 5 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.
Rylkov, V. V., et al.. (2019). Формирование массива мемристивных кроссбар-структур на базе нанокомпозита (Co 40 Fe 40 B 20 ) (LiNbO 3 ) 100 . Радиотехника и электроника. 64(10). 1019–1024. 1 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.
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
17.
Миннеханов, А. А., B. Goncharov, Dmitry Lapkin, et al.. (2019). Poly-para-xylylene-Based Memristors on Flexible Substrates. Technical Physics Letters. 45(11). 1103–1106. 16 indexed citations
18.
Миннеханов, А. А., et al.. (2018). Features of Charge Accumulation Processes in Nanoheterostructures Based on Titanium and Molybdenum Oxides. Journal of Experimental and Theoretical Physics Letters. 107(4). 264–268. 5 indexed citations
19.
Константинова, Е. А., et al.. (2018). Determination of the Energy Levels of Paramagnetic Centers in the Band Gap of Nanostructured Oxide Semiconductors Using EPR Spectroscopy. The Journal of Physical Chemistry C. 122(18). 10248–10254. 24 indexed citations
20.
Tarasov, Alexey B., А. А. Миннеханов, Г. В. Трусов, et al.. (2015). Shedding Light on Aging of N-Doped Titania Photocatalysts. The Journal of Physical Chemistry C. 119(32). 18663–18670. 17 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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