V. D. Skirda

109 total papers · 1.3k total citations
72 papers, 1000 citations indexed

About

V. D. Skirda is a scholar working on Nuclear and High Energy Physics, Spectroscopy and Materials Chemistry. According to data from OpenAlex, V. D. Skirda has authored 72 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Nuclear and High Energy Physics, 29 papers in Spectroscopy and 18 papers in Materials Chemistry. Recurrent topics in V. D. Skirda's work include NMR spectroscopy and applications (43 papers), Advanced NMR Techniques and Applications (21 papers) and Material Dynamics and Properties (10 papers). V. D. Skirda is often cited by papers focused on NMR spectroscopy and applications (43 papers), Advanced NMR Techniques and Applications (21 papers) and Material Dynamics and Properties (10 papers). V. D. Skirda collaborates with scholars based in Russia, Germany and Sweden. V. D. Skirda's co-authors include A.I. Maklakov, Rustem Valiullin, Rainer Kimmich, Irina V. Nesmelova, Siegfried Stapf, V. D. Fedotov, Vitaly I. Volkov, G. Fleischer, Young‐Shick Hong and Cherl‐Ho Lee and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

V. D. Skirda

68 papers receiving 945 citations

Author Peers

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

Author Last Decade Papers Cites
V. D. Skirda 350 260 239 152 152 72 1000
Esteban Anoardo 525 1.5× 545 2.1× 279 1.2× 321 2.1× 67 0.4× 51 1.2k
Radu Fechete 410 1.2× 281 1.1× 99 0.4× 277 1.8× 133 0.9× 86 863
V. D. Fedotov 213 0.6× 288 1.1× 205 0.9× 54 0.4× 85 0.6× 58 877
Xiaohua Qiu 187 0.5× 195 0.8× 467 2.0× 72 0.5× 296 1.9× 34 941
D. Doskočilová 204 0.6× 316 1.2× 252 1.1× 85 0.6× 389 2.6× 103 1.1k
Rongjuan Cong 94 0.3× 343 1.3× 137 0.6× 73 0.5× 304 2.0× 50 804
N. Chandrakumar 319 0.9× 456 1.8× 210 0.9× 141 0.9× 71 0.5× 72 1.0k
Shangwu Ding 223 0.6× 436 1.7× 330 1.4× 97 0.6× 24 0.2× 75 798
Yong Xia 170 0.5× 159 0.6× 290 1.2× 242 1.6× 30 0.2× 63 890
Edme H. Hardy 266 0.8× 503 1.9× 372 1.6× 125 0.8× 26 0.2× 39 930

Countries citing papers authored by V. D. Skirda

Since Specialization
Citations

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

Fields of papers citing papers by V. D. Skirda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. D. Skirda

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