Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The internet of Bio-Nano things
2015458 citationsSasitharan Balasubramaniam, Yevgeni Koucheryavy et al.IEEE Communications Magazineprofile →
Non-Terrestrial Networks in 5G & Beyond: A Survey
2020251 citationsSergey Andreev, Antonio Iera et al.IEEE Accessprofile →
Multi-Factor Authentication: A Survey
2018226 citationsAleksandr Ometov, Sergey Andreev et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Yevgeni Koucheryavy
Since
Specialization
Citations
This map shows the geographic impact of Yevgeni Koucheryavy'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 Yevgeni Koucheryavy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yevgeni Koucheryavy more than expected).
Fields of papers citing papers by Yevgeni Koucheryavy
This network shows the impact of papers produced by Yevgeni Koucheryavy. 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 Yevgeni Koucheryavy. The network helps show where Yevgeni Koucheryavy may publish in the future.
Co-authorship network of co-authors of Yevgeni Koucheryavy
This figure shows the co-authorship network connecting the top 25 collaborators of Yevgeni Koucheryavy.
A scholar is included among the top collaborators of Yevgeni Koucheryavy 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 Yevgeni Koucheryavy. Yevgeni Koucheryavy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Petrov, Vitaly, Gábor Fodor, Joonas Kokkoniemi, et al.. (2019). On unified vehicular communications and radar sensing in millimeter-wave and low terahertz bands. University of Oulu Repository (University of Oulu).81 indexed citations
14.
Galinina, Olga, Sergey Andreev, Sergey Balandin, & Yevgeni Koucheryavy. (2019). Internet of Things, Smart Spaces, and Next Generation Networks and Systems 19th International Conference, NEW2AN 2019, and 12th Conference, ruSMART 2019, St. Petersburg, Russia, August 26–28, 2019, Proceedings. CERN Document Server (European Organization for Nuclear Research).7 indexed citations
15.
Petrov, Vitaly, Joonas Kokkoniemi, Dmitri Moltchanov, et al.. (2018). Last meter indoor terahertz wireless access:performance insights and implementation roadmap. University of Oulu Repository (University of Oulu).60 indexed citations
Orsino, Antonino, Ivan Farris, Leonardo Militano, et al.. (2017). Exploiting D2D Communications at the Network Edge for Mission-Critical IoT Applications. European Wireless Conference. 1–6.10 indexed citations
18.
Gaidamaka, Yuliya, Konstantin Samouylov, Dmitri Moltchanov, et al.. (2016). On distribution of SIR in dense D2D deployments. European Wireless Conference. 333–337.2 indexed citations
19.
Cinkler, Tibor, et al.. (2012). ICUMT 2011 Congress in Budapest, Hungary. IEEE Communications Magazine. 50. 3–3.2 indexed citations
20.
Moltchanov, Dmitri, et al.. (2011). Connectivity to the infrastructure in VANETs. 1–5.1 indexed citations
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.