S. V. Sorokin

415 total papers · 2.7k total citations
248 papers, 2.0k citations indexed

About

S. V. Sorokin is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, S. V. Sorokin has authored 248 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Electrical and Electronic Engineering, 105 papers in Atomic and Molecular Physics, and Optics and 67 papers in Biomedical Engineering. Recurrent topics in S. V. Sorokin's work include Semiconductor Quantum Structures and Devices (94 papers), Acoustic Wave Phenomena Research (57 papers) and Vibration and Dynamic Analysis (50 papers). S. V. Sorokin is often cited by papers focused on Semiconductor Quantum Structures and Devices (94 papers), Acoustic Wave Phenomena Research (57 papers) and Vibration and Dynamic Analysis (50 papers). S. V. Sorokin collaborates with scholars based in Russia, Denmark and Germany. S. V. Sorokin's co-authors include I. V. Sedova, C. J. Chapman, А. А. Торопов, S. V. Ivanov, Elisabetta Manconi, N. Olhoff, N. Peake, Søren Tørholm Christensen, T. V. Shubina and С. В. Иванов and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

S. V. Sorokin

228 papers receiving 1.9k citations

Author Peers

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

Author						Papers	Cites
S. V. Sorokin	676	621	590	512	440	248	2.0k
Farbod Alijani	422 0.6×	392 0.6×	539 0.9×	1.0k 2.0×	810 1.8×	87	2.2k
Lifeng Wang	535 0.8×	370 0.6×	496 0.8×	803 1.6×	231 0.5×	158	2.4k
Reinhard Lerch	1.1k 1.6×	714 1.1×	202 0.3×	951 1.9×	398 0.9×	206	2.3k
Gilbert De Mey	643 1.0×	1.0k 1.7×	255 0.4×	373 0.7×	130 0.3×	245	2.4k
Rudra Pratap	1.1k 1.6×	1.2k 1.9×	628 1.1×	364 0.7×	126 0.3×	166	2.1k
Attilio Frangi	902 1.3×	1.4k 2.3×	1.2k 2.1×	810 1.6×	675 1.5×	154	3.0k
S.K. Lai	653 1.0×	301 0.5×	257 0.4×	817 1.6×	774 1.8×	196	2.8k
Stefano Mariani	385 0.6×	669 1.1×	320 0.5×	967 1.9×	1.5k 3.4×	191	3.1k
Manuel Collet	1.7k 2.5×	585 0.9×	418 0.7×	587 1.1×	740 1.7×	157	2.9k
Hassen M. Ouakad	618 0.9×	1.4k 2.2×	1.5k 2.6×	429 0.8×	143 0.3×	141	2.5k

Countries citing papers authored by S. V. Sorokin

Since Specialization

Citations

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

Fields of papers citing papers by S. V. Sorokin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. V. Sorokin. 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 S. V. Sorokin. The network helps show where S. V. Sorokin may publish in the future.

Co-authorship network of co-authors of S. V. Sorokin

This figure shows the co-authorship network connecting the top 25 collaborators of S. V. Sorokin. A scholar is included among the top collaborators of S. V. Sorokin 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 S. V. Sorokin. S. V. Sorokin 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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