Е. П. Найден

95 total papers · 562 total citations
67 papers, 424 citations indexed

About

Е. П. Найден is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Е. П. Найден has authored 67 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Materials Chemistry, 31 papers in Electronic, Optical and Magnetic Materials and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Е. П. Найден's work include Magnetic Properties and Synthesis of Ferrites (41 papers), Multiferroics and related materials (15 papers) and Magneto-Optical Properties and Applications (14 papers). Е. П. Найден is often cited by papers focused on Magnetic Properties and Synthesis of Ferrites (41 papers), Multiferroics and related materials (15 papers) and Magneto-Optical Properties and Applications (14 papers). Е. П. Найден collaborates with scholars based in Russia, China and Belarus. Е. П. Найден's co-authors include В. И. Итин, В. А. Журавлев, G. I. Ryabtsev, А. А. Магаева, Yu. F. Ivanov, V. I. Suslyaev, E. Yu. Korovin, Alexander Ivashutenko, Ivan Shanenkov and А. N. Tyumentsev and has published in prestigious journals such as RSC Advances, Journal of Magnetism and Magnetic Materials and Journal of Nanoscience and Nanotechnology.

In The Last Decade

Е. П. Найден

65 papers receiving 412 citations

Author Peers

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

Author						Papers	Cites
Е. П. Найден	302	190	123	64	57	67	424
R. Govindaraj	285 0.9×	138 0.7×	149 1.2×	42 0.7×	66 1.2×	64	452
Qing Wang	283 0.9×	186 1.0×	174 1.4×	74 1.2×	70 1.2×	41	484
Jun Kue Park	258 0.9×	155 0.8×	119 1.0×	63 1.0×	36 0.6×	52	455
Hongliang Ge	205 0.7×	160 0.8×	146 1.2×	80 1.3×	51 0.9×	39	396
M. Khodaei	269 0.9×	146 0.8×	187 1.5×	61 1.0×	48 0.8×	38	474
Eleonora Bolli	274 0.9×	73 0.4×	123 1.0×	45 0.7×	38 0.7×	43	440
Z. Surowiec	249 0.8×	162 0.9×	43 0.3×	50 0.8×	42 0.7×	53	389
Yuqing Xiong	213 0.7×	134 0.7×	214 1.7×	30 0.5×	89 1.6×	36	450
Meixia Xiao	265 0.9×	71 0.4×	97 0.8×	121 1.9×	40 0.7×	44	438
Ratchadaporn Supruangnet	256 0.8×	91 0.5×	241 2.0×	40 0.6×	58 1.0×	61	472

Countries citing papers authored by Е. П. Найден

Since Specialization

Citations

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

Fields of papers citing papers by Е. П. Найден

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. П. Найден. 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 Е. П. Найден. The network helps show where Е. П. Найден may publish in the future.

Co-authorship network of co-authors of Е. П. Найден

This figure shows the co-authorship network connecting the top 25 collaborators of Е. П. Найден. A scholar is included among the top collaborators of Е. П. Найден 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 Е. П. Найден. Е. П. Найден 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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