Д. В. Гусейнов

74 total papers · 1.1k total citations
52 papers, 847 citations indexed

About

Д. В. Гусейнов is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, Д. В. Гусейнов has authored 52 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 22 papers in Atomic and Molecular Physics, and Optics and 14 papers in Cognitive Neuroscience. Recurrent topics in Д. В. Гусейнов's work include Advanced Memory and Neural Computing (18 papers), Semiconductor materials and interfaces (16 papers) and Neural dynamics and brain function (14 papers). Д. В. Гусейнов is often cited by papers focused on Advanced Memory and Neural Computing (18 papers), Semiconductor materials and interfaces (16 papers) and Neural dynamics and brain function (14 papers). Д. В. Гусейнов collaborates with scholars based in Russia, Germany and Italy. Д. В. Гусейнов's co-authors include Alexey Mikhaylov, A. I. Belov, Bernardo Spagnolo, Д. С. Королев, A. A. Dubkov, N. V. Agudov, Victor Kazantsev, Svetlana A. Gerasimova, Angelo Carollo and A. V. Krichigin and has published in prestigious journals such as Sensors, RSC Advances and Journal of Physics D Applied Physics.

In The Last Decade

Д. В. Гусейнов

50 papers receiving 815 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Д. В. Гусейнов	556	262	235	221	105	52	847
О. Н. Горшков	788 1.4×	351 1.3×	223 0.9×	184 0.8×	221 2.1×	103	1.0k
И. Н. Антонов	690 1.2×	350 1.3×	188 0.8×	127 0.6×	127 1.2×	90	846
Ziwen Wang	761 1.4×	264 1.0×	192 0.8×	39 0.2×	135 1.3×	42	951
R. Wessel	435 0.8×	210 0.8×	303 1.3×	102 0.5×	125 1.2×	32	1.0k
Ioannis Vourkas	968 1.7×	536 2.0×	214 0.9×	88 0.4×	32 0.3×	75	1.0k
H. Stiegler	710 1.3×	119 0.5×	84 0.4×	73 0.3×	239 2.3×	44	924
L. J. Deng	602 1.1×	282 1.1×	133 0.6×	23 0.1×	122 1.2×	35	915
D. Maldonado	605 1.1×	272 1.0×	119 0.5×	109 0.5×	49 0.5×	45	699
S. G. Hu	775 1.4×	362 1.4×	218 0.9×	34 0.2×	70 0.7×	34	885
Shigeru Kubota	360 0.6×	114 0.4×	140 0.6×	32 0.1×	257 2.4×	86	707

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

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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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