В. М. Маркушев

102 total papers · 598 total citations
48 papers, 451 citations indexed

About

В. М. Маркушев is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, В. М. Маркушев has authored 48 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 18 papers in Electrical and Electronic Engineering and 15 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in В. М. Маркушев's work include Random lasers and scattering media (13 papers), Solid State Laser Technologies (10 papers) and Luminescence Properties of Advanced Materials (10 papers). В. М. Маркушев is often cited by papers focused on Random lasers and scattering media (13 papers), Solid State Laser Technologies (10 papers) and Luminescence Properties of Advanced Materials (10 papers). В. М. Маркушев collaborates with scholars based in Russia, United States and China. В. М. Маркушев's co-authors include Ch. M. Briskina, V. F. Zolin, N. Ter-Gabrielyan, M. V. Ryzhkov, Alexandre Lavrov, О. В. Димитрова, V. V. Ursaki, Anvar Zakhidov, E. Rusu and I. M. Tiginyanu and has published in prestigious journals such as IEEE Journal of Quantum Electronics, Journal of Nuclear Materials and physica status solidi (b).

In The Last Decade

В. М. Маркушев

44 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
В. М. Маркушев 287 230 191 138 54 48 451
Ch. M. Briskina 270 0.9× 225 1.0× 178 0.9× 109 0.8× 35 0.6× 33 405
Benjamin R. Anderson 95 0.3× 146 0.6× 90 0.5× 200 1.4× 35 0.6× 62 456
Shuo Pang 81 0.3× 75 0.3× 144 0.8× 73 0.5× 38 0.7× 49 529
Lihua Ye 176 0.6× 141 0.6× 54 0.3× 111 0.8× 158 2.9× 39 435
Sameh Ferjani 249 0.9× 377 1.6× 117 0.6× 44 0.3× 269 5.0× 26 544
Jakub Novák 94 0.3× 368 1.6× 314 1.6× 31 0.2× 7 0.1× 54 537
Yifan Liu 40 0.1× 201 0.9× 227 1.2× 68 0.5× 26 0.5× 38 421
Е. А. Тихонов 47 0.2× 302 1.3× 207 1.1× 60 0.4× 193 3.6× 86 438
Zhiren Qiu 42 0.1× 86 0.4× 169 0.9× 257 1.9× 108 2.0× 33 415
Ju Won Choi 26 0.1× 342 1.5× 358 1.9× 118 0.9× 28 0.5× 39 507

Countries citing papers authored by В. М. Маркушев

Since Specialization
Citations

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

Fields of papers citing papers by В. М. Маркушев

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of В. М. Маркушев

This figure shows the co-authorship network connecting the top 25 collaborators of В. М. Маркушев. A scholar is included among the top collaborators of В. М. Маркушев 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 В. М. Маркушев. В. М. Маркушев 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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