E.G. Gryaznov

680 citations
13 papers · 525 indexed · h-index 9
Topics
Advanced Memory and Neural Computing (13 papers)Ferroelectric and Negative Capacitance Devices (5 papers)Neuroscience and Neural Engineering (5 papers)
Partner nations
RussiaItalyGreece

In The Last Decade

E.G. Gryaznov

13 papers receiving 504 citations

Peers

E.G. Gryaznov
Comparison fields: 5 of 51
  • Electrical and Electronic Engineering 454
  • Cellular and Molecular Neuroscience 273
  • Cognitive Neuroscience 151
  • Statistical and Nonlinear Physics 78
  • Polymers and Plastics 68
Replace K. E. Nikiruy with:
K. E. Nikiruy Russia
D. Maldonado Spain
Svetlana A. Gerasimova Russia
M. N. Koryazhkina Russia
С. В. Тихов Russia
Hannes Mähne Germany
Yu. V. Pershin United States
Mohamad Moner Al Chawa Spain
Joseph Straznicky United States
Michihito Ueda Japan
E.G. Gryaznov relative to K. E. Nikiruy Russia K. E. Nikiruy's profile →
Citations per field
00.5×
K. E. Nikiruy · 1×
Citations per year

Countries citing papers authored by E.G. Gryaznov

Since Specialization
Citations

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

Fields of papers citing papers by E.G. Gryaznov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E.G. Gryaznov

This figure shows the co-authorship network connecting the top 25 collaborators of E.G. Gryaznov. A scholar is included among the top collaborators of E.G. Gryaznov 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 E.G. Gryaznov. E.G. Gryaznov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 12
2 2
3 2
4 2
5 144
6 62
7 92
8 12
9 22
10 11
11 91
12 69
13 4

About E.G. Gryaznov

E.G. Gryaznov is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 13 papers that have together received 525 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (5 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (273 citations), Electrical and Electronic Engineering (454 citations) and Cognitive Neuroscience (151 citations). E.G. Gryaznov has collaborated with scholars based in Russia, Italy and Greece. Frequent co-authors include Alexey Mikhaylov, Д. С. Королев, Д. А. Павлов, A. I. Belov, D. I. Tetelbaum, С. В. Тихов, Victor Kazantsev, В. А. Демин, Svetlana A. Gerasimova and О. Н. Горшков. Their work appears in journals such as Frontiers in Neuroscience, Applied Sciences 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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