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.
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead
20202.1k citationsMarco Di Renzo, Alessio Zappone et al.arXiv (Cornell University)profile →
Metasurfaces: From microwaves to visible
2016928 citationsSergei Tretyakov, Pavel A. Belov et al.profile →
Countries citing papers authored by Sergei Tretyakov
Since
Specialization
Citations
This map shows the geographic impact of Sergei Tretyakov'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 Sergei Tretyakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergei Tretyakov more than expected).
Fields of papers citing papers by Sergei Tretyakov
This network shows the impact of papers produced by Sergei Tretyakov. 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 Sergei Tretyakov. The network helps show where Sergei Tretyakov may publish in the future.
Co-authorship network of co-authors of Sergei Tretyakov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergei Tretyakov.
A scholar is included among the top collaborators of Sergei Tretyakov 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 Sergei Tretyakov. Sergei Tretyakov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mirmoosa, M. S., Theodoros T. Koutserimpas, Grigorii Ptitcyn, Sergei Tretyakov, & Romain Fleury. (2022). Dipole polarizability of time-varying particles. New Journal of Physics. 24(6). 63004–63004.37 indexed citations
Renzo, Marco Di, Alessio Zappone, Mérouane Debbah, et al.. (2020). Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead. arXiv (Cornell University).2062 indexed citations breakdown →
Vehmas, Joni, Pekka Alitalo, & Sergei Tretyakov. (2013). Low-reflection inhomogeneous microwave lens based on loaded transmission lines. European Conference on Antennas and Propagation. 1654–1658.1 indexed citations
12.
Alitalo, Pekka, Joni Vehmas, & Sergei Tretyakov. (2011). Reduction of antenna blockage with a transmission-line cloak. European Conference on Antennas and Propagation. 2399–2402.7 indexed citations
13.
Karilainen, Antti, Pekka Alitalo, & Sergei Tretyakov. (2011). Chiral antenna element as a low backscattering sensor. European Conference on Antennas and Propagation. 1865–1868.1 indexed citations
14.
Luukkonen, Olli, Antti Karilainen, Joni Vehmas, Constantin Simovski, & Sergei Tretyakov. (2010). A high-impedance surface based antenna — Lose the antenna. European Conference on Antennas and Propagation. 1–5.7 indexed citations
Nefedov, Igor S. & Sergei Tretyakov. (2003). Waveguide containing a backward-wave slab (DOI 10.1029/2003RS002900). Radio Science. 9.1 indexed citations
19.
Tretyakov, Sergei & A.J. Viitanen. (1991). Perturbation theory for a cavity resonator with a biisotropic sample: Applications to measurement techniques. STIN. 92. 26167.1 indexed citations
20.
Lindell, Ismo V., et al.. (1989). Eigensolutions for the reflection problem involving the interface of two chiral half spaces. NASA STI/Recon Technical Report N. 90. 11926.2 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.