S. V. Shulga

64 total papers · 1.3k total citations
40 papers, 932 citations indexed

About

S. V. Shulga is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, S. V. Shulga has authored 40 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Condensed Matter Physics, 14 papers in Atomic and Molecular Physics, and Optics and 13 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in S. V. Shulga's work include Physics of Superconductivity and Magnetism (22 papers), Superconductivity in MgB2 and Alloys (16 papers) and Iron-based superconductors research (11 papers). S. V. Shulga is often cited by papers focused on Physics of Superconductivity and Magnetism (22 papers), Superconductivity in MgB2 and Alloys (16 papers) and Iron-based superconductors research (11 papers). S. V. Shulga collaborates with scholars based in Russia, Germany and United States. S. V. Shulga's co-authors include O. V. Dolgov, E. G. Maksimov, K.‐H. Müller, S.‐L. Drechsler, G. Fuchs, Klaus Winzer, Klaus Krug, A. A. Golubov, Yu. B. Ovchinnikov and V. I. Balykin and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review B.

In The Last Decade

S. V. Shulga

40 papers receiving 899 citations

Author Peers

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

Author Last Decade Papers Cites
S. V. Shulga 753 442 230 206 77 40 932
Bastian Klemke 770 1.0× 573 1.3× 281 1.2× 250 1.2× 52 0.7× 45 1.1k
Marc Nardone 736 1.0× 708 1.6× 267 1.2× 313 1.5× 56 0.7× 30 1.2k
Nobuya Sato 516 0.7× 407 0.9× 225 1.0× 109 0.5× 38 0.5× 54 800
Yejun Feng 504 0.7× 444 1.0× 306 1.3× 252 1.2× 149 1.9× 43 885
J. Takeya 627 0.8× 382 0.9× 205 0.9× 302 1.5× 42 0.5× 37 1.0k
C. Mielke 698 0.9× 425 1.0× 202 0.9× 516 2.5× 15 0.2× 34 929
Tetsuo Fukase 796 1.1× 647 1.5× 207 0.9× 233 1.1× 87 1.1× 76 1.0k
J. J. Préjean 712 0.9× 252 0.6× 466 2.0× 355 1.7× 29 0.4× 44 985
Toni Helm 695 0.9× 531 1.2× 420 1.8× 531 2.6× 70 0.9× 44 1.1k
Takeo Matsubara 553 0.7× 176 0.4× 176 0.8× 590 2.9× 38 0.5× 28 925

Countries citing papers authored by S. V. Shulga

Since Specialization
Citations

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

Fields of papers citing papers by S. V. Shulga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. V. Shulga

This figure shows the co-authorship network connecting the top 25 collaborators of S. V. Shulga. A scholar is included among the top collaborators of S. V. Shulga 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. V. Shulga. S. V. Shulga 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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