Yu. V. Plotkina
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Geology top 1%
- Geological Studies and Exploration
Papers in
- Geophysics 114
- Geological and Geochemical Analysis 113
- High-pressure geophysics and materials 47
- earthquake and tectonic studies 18
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- Geochemistry and Geologic Mapping 94
- Co-authors
- Е. Б. Сальникова (82 shared papers)S. Z. Yakovleva (41 shared papers)И. К. Козаков (27 shared papers)В. П. Ковач (50 shared papers)A. M. Fedoseenko (33 shared papers)A. B. Kotov (39 shared papers)I. V. Anisimova (28 shared papers)V. V. Yarmolyuk (20 shared papers)
In The Last Decade
Yu. V. Plotkina
106 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 30
- Geophysics 1.4k
- Geology 410
- Artificial Intelligence 1.1k
- Geochemistry and Petrology 184
- Paleontology 72
Countries citing papers authored by Yu. V. Plotkina
This map shows the geographic impact of Yu. V. Plotkina'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 Yu. V. Plotkina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. V. Plotkina more than expected).
Fields of papers citing papers by Yu. V. Plotkina
This network shows the impact of papers produced by Yu. V. Plotkina. 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 Yu. V. Plotkina. The network helps show where Yu. V. Plotkina may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu. V. Plotkina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 93 | |
| 2 | 2007 | 56 | |
| 3 | 2011 | 53 | |
| 4 | 2008 | 51 | |
| 5 | 2014 | 50 | |
| 6 | Metasedimentary complexes of the Tuva-Mongolian massif: Age, provenances, and tectonic position | 2005 | 42 |
| 7 | 2012 | 42 | |
| 8 | 2008 | 40 | |
| 9 | 2012 | 40 | |
| 10 | 2011 | 40 | |
| 11 | 2011 | 39 | |
| 12 | 2011 | 34 | |
| 13 | 2013 | 34 | |
| 14 | 2006 | 30 | |
| 15 | 2010 | 30 | |
| 16 | 2011 | 28 | |
| 17 | 2012 | 28 | |
| 18 | 2010 | 28 | |
| 19 | 2009 | 25 | |
| 20 | 2021 | 24 |
About Yu. V. Plotkina
Yu. V. Plotkina is a scholar working on Geophysics, Artificial Intelligence, Geology, Geochemistry and Petrology and Mechanics of Materials, having authored 122 papers that have together received 1.4k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (113 papers), Geochemistry and Geologic Mapping (94 papers), Geological Studies and Exploration (49 papers), High-pressure geophysics and materials (47 papers), earthquake and tectonic studies (18 papers), Mineralogy and Gemology Studies (7 papers), Geochemistry and Elemental Analysis (5 papers) and Paleontology and Stratigraphy of Fossils (5 papers). The work is most often cited by research in Geophysics (1.4k citations), Geology (410 citations), Artificial Intelligence (1.1k citations), Geochemistry and Petrology (184 citations) and Paleontology (72 citations). Yu. V. Plotkina has collaborated with scholars based in Russia, Mongolia and Bulgaria. Frequent co-authors include Е. Б. Сальникова, S. Z. Yakovleva, И. К. Козаков, В. П. Ковач, A. M. Fedoseenko, A. B. Kotov, I. V. Anisimova, V. V. Yarmolyuk, А. А. Сорокин and T. I. Kirnozova. Their work appears in journals such as Stratigraphy and Geological Correlation, Doklady Earth Sciences, Geotectonics, Russian Geology and Geophysics and Lithos.
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.