Д. В. Гусейнов

1.2k citations
52 papers · 855 indexed · h-index 14
Topics
Advanced Memory and Neural Computing (18 papers)Semiconductor materials and interfaces (16 papers)Neural dynamics and brain function (14 papers)
Partner nations
RussiaGermanyItaly

In The Last Decade

Д. В. Гусейнов

50 papers receiving 822 citations

Peers

Д. В. Гусейнов
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 561
  • Cellular and Molecular Neuroscience 263
  • Cognitive Neuroscience 236
  • Statistical and Nonlinear Physics 222
  • Materials Chemistry 105
Replace О. Н. Горшков with:
О. Н. Горшков Russia
И. Н. Антонов Russia
Д. О. Филатов Russia
M. N. Koryazhkina Russia
В. А. Демин Russia
K. E. Nikiruy Russia
E.G. Gryaznov Russia
A. V. Emelyanov Russia
С. В. Тихов Russia
Д. В. Гусейнов relative to О. Н. Горшков Russia О. Н. Горшков's profile →
Citations per field
00.5×1.6×
О. Н. Горшков · 1×
Citations per year

Countries citing papers authored by Д. В. Гусейнов

Since Specialization
Citations

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

Fields of papers citing papers by Д. В. Гусейнов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Д. В. Гусейнов. 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 Д. В. Гусейнов. The network helps show where Д. В. Гусейнов may publish in the future.

Co-authorship network of co-authors of Д. В. Гусейнов

This figure shows the co-authorship network connecting the top 25 collaborators of Д. В. Гусейнов. A scholar is included among the top collaborators of Д. В. Гусейнов 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 Д. В. Гусейнов. Д. В. Гусейнов 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
#WorkIndexed citations
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2 1
3 6
4 0
5 14
6 20
7 118
8 104
9 104
10 1
11 18
12 6
13 13
14 12
15 5
16 7
17 3
18 2
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20 3

About Д. В. Гусейнов

Д. В. Гусейнов is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 52 papers that have together received 855 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Semiconductor materials and interfaces (16 papers) and Neural dynamics and brain function (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (222 citations), Cellular and Molecular Neuroscience (263 citations) and Cognitive Neuroscience (236 citations). Д. В. Гусейнов has collaborated with scholars based in Russia, Germany and Italy. Frequent co-authors include Alexey Mikhaylov, A. I. Belov, Bernardo Spagnolo, Д. С. Королев, N. V. Agudov, A. A. Dubkov, Victor Kazantsev, A. V. Krichigin, Svetlana A. Gerasimova and Angelo Carollo. Their work appears in journals such as Sensors, RSC Advances and Journal of Physics D Applied Physics.

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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