K. E. Nikiruy

857 citations
23 papers · 620 · h-index 13

Impact in

Papers in

K. E. Nikiruy

22 papers receiving 615 citations

Peers

K. E. Nikiruy
Comparison fields: 5 of 51
  • Cellular and Molecular Neuroscience 307
  • Cognitive Neuroscience 174
  • Electrical and Electronic Engineering 516
  • Polymers and Plastics 75
  • Statistical and Nonlinear Physics 53
Replace И. Н. Антонов with:
И. Н. Антонов Russia
M. N. Koryazhkina Russia
Д. В. Гусейнов Russia
Yu. V. Pershin United States
T. Hussain United States
Mirko Hansen Germany
D. Maldonado Spain
Jinsong Wei China
Jean Tomas France
K. E. Nikiruy relative to И. Н. Антонов Russia И. Н. Антонов's profile →
Citations per field
00.5×1.5×
И. Н. Антонов · 1×
Citations per year

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-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.

Border = papers with K. E. Nikiruy Line = papers co-authored together K. E. Nikiruy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021105
2 202093
3 201968
4 201963
5 201852
6 201947
7 201938
8 201830
9 202026
10 202320
11 202217
12 201917
13 202013
14 20245
15 20195
16 20225
17 20204
18 20194
19 20193
20 20232

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 620 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 Phase-change materials and chalcogenides (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (307 citations), Cognitive Neuroscience (174 citations), Electrical and Electronic Engineering (516 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, M. Yu. Presnyakov, Alexey Mikhaylov and Д. А. Павлов. Their work appears in journals such as Neural Networks, IEEE Magnetics Letters, physica status solidi (a), AIP Advances and Nanomaterials.

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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