А. Е. Мельник
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Geological Formations and Processes Exploration
- Geochemistry and Petrology top 10%
- Geochemistry and Elemental Analysis
- Mineralogy and Gemology Studies
Papers in
- Geophysics 25
- Geological and Geochemical Analysis 25
- High-pressure geophysics and materials 12
- earthquake and tectonic studies 5
- Geological and Geophysical Studies Worldwide 2
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- Geochemistry and Geologic Mapping 14
- Co-authors
- С. Г. Скублов (22 shared papers)А. В. Березин (12 shared papers)Yu. B. Marin (5 shared papers)Xian‐Hua Li (6 shared papers)Daniel Herwartz (2 shared papers)Е. С. Богомолов (4 shared papers)S. L. Presnyakov (1 shared paper)Dirk Müller (4 shared papers)
In The Last Decade
А. Е. Мельник
26 papers receiving 400 citations
Peers
Comparison fields: 5 of 24
- Geophysics 398
- Geochemistry and Petrology 58
- Artificial Intelligence 235
- Geology 25
- Paleontology 12
Countries citing papers authored by А. Е. Мельник
This map shows the geographic impact of А. Е. Мельник'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 А. Е. Мельник with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites А. Е. Мельник more than expected).
Fields of papers citing papers by А. Е. Мельник
This network shows the impact of papers produced by А. Е. Мельник. 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 А. Е. Мельник. The network helps show where А. Е. Мельник may publish in the future.
Co-authors
The 25 scholars most cited alongside А. Е. Мельник, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 53 | |
| 2 | 2011 | 50 | |
| 3 | 2011 | 49 | |
| 4 | 2018 | 49 | |
| 5 | 2010 | 29 | |
| 6 | 2022 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2013 | 20 | |
| 9 | 2013 | 19 | |
| 10 | 2016 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2014 | 8 | |
| 16 | 2021 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2022 | 3 |
About А. Е. Мельник
А. Е. Мельник is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Electronic, Optical and Magnetic Materials and Molecular Biology, having authored 30 papers that have together received 414 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (25 papers), Geochemistry and Geologic Mapping (14 papers), High-pressure geophysics and materials (12 papers), earthquake and tectonic studies (5 papers), Mineralogy and Gemology Studies (5 papers), Geochemistry and Elemental Analysis (4 papers), Geological and Geophysical Studies Worldwide (2 papers) and Crystal Structures and Properties (2 papers). The work is most often cited by research in Geophysics (398 citations), Geochemistry and Petrology (58 citations), Artificial Intelligence (235 citations), Geology (25 citations) and Paleontology (12 citations). А. Е. Мельник has collaborated with scholars based in Russia, China and Germany. Frequent co-authors include С. Г. Скублов, А. В. Березин, Yu. B. Marin, Xian‐Hua Li, Daniel Herwartz, Е. С. Богомолов, S. L. Presnyakov, Dirk Müller, I. P. Paderin and Qiuli Li. Their work appears in journals such as Chemical Geology, Earth-Science Reviews, Geology, Journal of Geophysical Research Solid Earth and Precambrian Research.
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.