K. E. Nikiruy
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Advanced Memory and Neural Computing 22
- Ferroelectric and Negative Capacitance Devices 7
- CCD and CMOS Imaging Sensors 2
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- Neuroscience and Neural Engineering 13
- Photoreceptor and optogenetics research 4
- Co-authors
- A. V. Emelyanov (21 shared papers)V. V. Rylkov (20 shared papers)В. А. Демин (17 shared papers)А. В. Ситников (13 shared papers)M. V. Kovalchuk (4 shared papers)С. Н. Николаев (6 shared papers)П. К. Кашкаров (3 shared papers)A. I. Belov (2 shared papers)
In The Last Decade
K. E. Nikiruy
22 papers receiving 603 citations
Peers
Comparison fields: 5 of 51
- Cellular and Molecular Neuroscience 304
- Electrical and Electronic Engineering 507
- Cognitive Neuroscience 171
- Polymers and Plastics 75
- Statistical and Nonlinear Physics 53
Countries citing papers authored by K. E. Nikiruy
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
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-authors
The 25 scholars most cited alongside K. E. Nikiruy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 2020 | 92 | |
| 3 | 2019 | 68 | |
| 4 | 2019 | 62 | |
| 5 | 2018 | 51 | |
| 6 | 2019 | 45 | |
| 7 | 2019 | 37 | |
| 8 | 2018 | 29 | |
| 9 | 2020 | 26 | |
| 10 | 2023 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2022 | 17 | |
| 13 | 2020 | 13 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2023 | 2 |
About K. E. Nikiruy
K. E. Nikiruy is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Polymers and Plastics and Materials Chemistry, having authored 23 papers that have together received 610 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (22 papers), Neuroscience and Neural Engineering (13 papers), Neural dynamics and brain function (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Transition Metal Oxide Nanomaterials (4 papers), Photoreceptor and optogenetics research (4 papers), CCD and CMOS Imaging Sensors (2 papers) and Magnetism in coordination complexes (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (304 citations), Electrical and Electronic Engineering (507 citations), Cognitive Neuroscience (171 citations), Polymers and Plastics (75 citations) and Statistical and Nonlinear Physics (53 citations). K. E. Nikiruy has collaborated with scholars based in Russia, Italy and Germany. Frequent co-authors include A. V. Emelyanov, V. V. Rylkov, В. А. Демин, А. В. Ситников, M. V. Kovalchuk, С. Н. Николаев, П. К. Кашкаров, A. I. Belov, Alexey Mikhaylov and Д. А. Павлов. Their work appears in journals such as Scientific Reports, Neural Networks, Nanotechnology, Organic Electronics and Nanoscale Horizons.
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.