В. Д. Мазуров

103 total papers · 1.2k total citations
70 papers, 723 citations indexed

About

В. Д. Мазуров is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, В. Д. Мазуров has authored 70 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Discrete Mathematics and Combinatorics, 42 papers in Artificial Intelligence and 41 papers in Electrical and Electronic Engineering. Recurrent topics in В. Д. Мазуров's work include Finite Group Theory Research (63 papers), Coding theory and cryptography (42 papers) and graph theory and CDMA systems (41 papers). В. Д. Мазуров is often cited by papers focused on Finite Group Theory Research (63 papers), Coding theory and cryptography (42 papers) and graph theory and CDMA systems (41 papers). В. Д. Мазуров collaborates with scholars based in Russia, China and Iran. В. Д. Мазуров's co-authors include А. С. Кондратьев, A. V. Vasil’ev, M. A. Grechkoseeva, Haijing Cao, E. I. Khukhro, Wujie Shi, Wei Shi, Narain Gupta, Andrei V. Zavarnitsine and A. R. Moghaddamfar and has published in prestigious journals such as Journal of Algebra, Archiv der Mathematik and Bulletin of the Australian Mathematical Society.

In The Last Decade

В. Д. Мазуров

55 papers receiving 621 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. Д. Мазуров 680 559 508 80 69 70 723
Wujie Shi 653 1.0× 563 1.0× 523 1.0× 49 0.6× 43 0.6× 76 684
Christoph Hering 635 0.9× 436 0.8× 476 0.9× 169 2.1× 79 1.1× 38 709
Thomas R. Wolf 644 0.9× 457 0.8× 345 0.7× 182 2.3× 89 1.3× 33 666
T. G. Ostrom 541 0.8× 427 0.8× 560 1.1× 175 2.2× 34 0.5× 57 790
Behrooz Khosravi 570 0.8× 464 0.8× 432 0.9× 48 0.6× 51 0.7× 91 701
Guglielmo Lunardon 560 0.8× 580 1.0× 425 0.8× 104 1.3× 54 0.8× 51 686
Olga Polverino 652 1.0× 754 1.3× 534 1.1× 106 1.3× 51 0.7× 68 839
Aart Blokhuis 462 0.7× 442 0.8× 389 0.8× 96 1.2× 42 0.6× 55 655
John H. Walter 756 1.1× 438 0.8× 480 0.9× 268 3.4× 86 1.2× 18 833
Fernanda Pambianco 522 0.8× 622 1.1× 444 0.9× 80 1.0× 36 0.5× 104 738

Countries citing papers authored by В. Д. Мазуров

Since Specialization
Citations

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

Fields of papers citing papers by В. Д. Мазуров

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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