S. Yuferev

562 total citations
41 papers, 394 citations indexed

About

S. Yuferev is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Mechanics of Materials. According to data from OpenAlex, S. Yuferev has authored 41 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 21 papers in Atomic and Molecular Physics, and Optics and 15 papers in Mechanics of Materials. Recurrent topics in S. Yuferev's work include Electromagnetic Simulation and Numerical Methods (26 papers), Electromagnetic Scattering and Analysis (21 papers) and Numerical methods in engineering (14 papers). S. Yuferev is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (26 papers), Electromagnetic Scattering and Analysis (21 papers) and Numerical methods in engineering (14 papers). S. Yuferev collaborates with scholars based in United States, Finland and Italy. S. Yuferev's co-authors include Nathan Ida, Luca Di Rienzo, Lauri Kettunen, Andrey Pazderin, Sami Barmada, Igor Tsukerman, Ali Nadir Arslan, G. Pozzovivo, S. Lavanga and G. Prechtl and has published in prestigious journals such as IEEE Transactions on Magnetics, IEEE Transactions on Electromagnetic Compatibility and Technical Physics Letters.

In The Last Decade

S. Yuferev

40 papers receiving 351 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Yuferev United States 11 322 174 82 72 70 41 394
G. Aiello Italy 12 384 1.2× 272 1.6× 204 2.5× 40 0.6× 80 1.1× 63 508
G. Bedrosian United States 10 267 0.8× 107 0.6× 45 0.5× 57 0.8× 76 1.1× 32 371
Jean‐Michel Guichon France 16 563 1.7× 143 0.8× 48 0.6× 58 0.8× 97 1.4× 80 610
Romanus Dyczij‐Edlinger Germany 14 527 1.6× 257 1.5× 68 0.8× 49 0.7× 43 0.6× 80 659
I. Bardi Austria 10 369 1.1× 183 1.1× 67 0.8× 156 2.2× 56 0.8× 32 511
X. Brunotte France 11 228 0.7× 133 0.8× 49 0.6× 30 0.4× 97 1.4× 24 377
G. Vrisk Austria 7 258 0.8× 105 0.6× 62 0.8× 25 0.3× 101 1.4× 11 332
Qianhong Zhou China 13 275 0.9× 247 1.4× 112 1.4× 88 1.2× 56 0.8× 54 431
Kevin Quirk United States 11 252 0.8× 64 0.4× 48 0.6× 91 1.3× 46 0.7× 37 394
A. Genon Belgium 13 334 1.0× 137 0.8× 83 1.0× 39 0.5× 120 1.7× 39 477

Countries citing papers authored by S. Yuferev

Since Specialization
Citations

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

Fields of papers citing papers by S. Yuferev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Yuferev

This figure shows the co-authorship network connecting the top 25 collaborators of S. Yuferev. A scholar is included among the top collaborators of S. Yuferev 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. Yuferev. S. Yuferev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dubinin, Mikhail V., et al.. (2019). Analysis of Prospective Technologies of Electric Power Transmission over Long Distances. Vestnik MEI. 3(3). 20–26.
2.
Curatola, G., S. Yuferev, G. Pozzovivo, et al.. (2014). GaN virtual prototyping: From traps modeling to system-level cascode optimization. 337–340. 7 indexed citations
3.
Pazderin, Andrey & S. Yuferev. (2009). Steady-state calculation of electrical power system by the Newton's Method in optimization. 8 indexed citations
4.
Ida, Nathan, et al.. (2009). A systematic approach to the concept of surface impedance boundary conditions. Facta universitatis - series Electronics and Energetics. 22(2). 143–158. 1 indexed citations
5.
Pazderin, Andrey & S. Yuferev. (2009). Pulling the operating point back onto the feasibility boundary. 1–5. 2 indexed citations
6.
Rienzo, Luca Di, S. Yuferev, & Nathan Ida. (2008). Computation of the Impedance Matrix of Multiconductor Transmission Lines Using High-Order Surface Impedance Boundary Conditions. IEEE Transactions on Electromagnetic Compatibility. 50(4). 974–984. 24 indexed citations
7.
Yuferev, S., Luca Di Rienzo, & Nathan Ida. (2006). Surface impedance boundary conditions for the finite integration technique. IEEE Transactions on Magnetics. 42(4). 823–826. 4 indexed citations
8.
Barmada, Sami, Luca Di Rienzo, Nathan Ida, & S. Yuferev. (2005). Time domain surface impedance concept for low frequency electromagnetic problems—Part II: Application to transient skin and proximity effect problems in cylindrical conductors. IEE Proceedings - Science Measurement and Technology. 152(5). 207–216. 12 indexed citations
9.
Yuferev, S. & Nathan Ida. (2005). Time domain surface impedance concept for low frequency electromagnetic problems—Part I: Derivation of high order surface impedance boundary conditions in the time domain. IEE Proceedings - Science Measurement and Technology. 152(4). 175–185. 9 indexed citations
10.
Barmada, Sami, Luca Di Rienzo, Nathan Ida, S. Yuferev, & Piazza Leonardo da Vinci. (2003). THE USE OF SURFACE IMPEDANCE BOUNDARY CONDITIONS IN TIME DOMAIN PROBLEMS: NUMERICAL AND EXPERIMENTAL VALIDATION. CINECA IRIS Institutial research information system (University of Pisa). 397–402. 6 indexed citations
11.
Yuferev, S., et al.. (2001). High order surface impedance boundary conditions for the FDTD method. IEEE Transactions on Magnetics. 37(5). 3242–3245. 13 indexed citations
12.
Kettunen, Lauri & S. Yuferev. (2000). Implementation of high order surface impedance boundary conditions using vector approximating functions. IEEE Transactions on Magnetics. 36(4). 1606–1609. 11 indexed citations
13.
Yuferev, S., et al.. (2000). Use of the perturbation technique for implementation of surface impedance boundary conditions for the FDTD method. IEEE Transactions on Magnetics. 36(4). 942–945. 9 indexed citations
14.
Yuferev, S. & Lauri Kettunen. (1999). A unified time domain surface impedance concept for both linear and non-linear skin effect problems. IEEE Transactions on Magnetics. 35(3). 1454–1457. 8 indexed citations
15.
Yuferev, S. & Nathan Ida. (1999). Selection of the surface impedance boundary conditions for a given problem. IEEE Transactions on Magnetics. 35(3). 1486–1489. 49 indexed citations
16.
Yuferev, S. & Lauri Kettunen. (1998). A new boundary element technique to transient non-linear low penetration problems of multiconductor systems. IEEE Transactions on Magnetics. 34(5). 2613–2616. 5 indexed citations
17.
Ida, Nathan & S. Yuferev. (1997). Impedance boundary conditions for transient scattering problems. IEEE Transactions on Magnetics. 33(2). 1444–1447. 8 indexed citations
18.
19.
Drobyshevski, E. M. & S. Yuferev. (1995). The use of conducting shields for increasing the operating current limit in a rail launcher. IEEE Transactions on Magnetics. 31(1). 291–294. 2 indexed citations
20.
Yuferev, S., et al.. (1993). Use of electromagnetic shields to reduce thermal and dynamic loads in a rail gun accelerator of solid objects. Technical Physics Letters. 19(4). 189–190. 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.

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