G. N. Gamyanin
- Geophysics top 5%
- Artificial Intelligence top 5%
- Geochemistry and Petrology top 10%
- Biomedical Engineering
- Geology top 10%
- Co-authors
- Н. С. БортниковО. В. ВикентьеваV. Yu. Prokof’evFritz WagnerC. J. StanleyJochen FriedlG. McMahonLouis J. Cabri
- Topics
- Geochemistry and Geologic Mapping (21 papers)Geological and Geochemical Analysis (16 papers)Geological Studies and Exploration (6 papers)
- Partner nations
- RussiaUnited States
In The Last Decade
G. N. Gamyanin
24 papers receiving 386 citations
Peers
Comparison fields: 5 of 35
- Geophysics 339
- Artificial Intelligence 328
- Geochemistry and Petrology 78
- Biomedical Engineering 70
- Geology 55
Countries citing papers authored by G. N. Gamyanin
This map shows the geographic impact of G. N. Gamyanin'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 G. N. Gamyanin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. N. Gamyanin more than expected).
Fields of papers citing papers by G. N. Gamyanin
This network shows the impact of papers produced by G. N. Gamyanin. 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 G. N. Gamyanin. The network helps show where G. N. Gamyanin may publish in the future.
Co-authorship network of co-authors of G. N. Gamyanin
This figure shows the co-authorship network connecting the top 25 collaborators of G. N. Gamyanin. A scholar is included among the top collaborators of G. N. Gamyanin 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 G. N. Gamyanin. G. N. Gamyanin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 8 | |
| 3 | 20 | |
| 4 | 0 | |
| 5 | 21 | |
| 6 | Sulfur forms in the hydrothermal fluids and their role in ore formation | 1 |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 16 | |
| 10 | 7 | |
| 11 | 20 | |
| 12 | The Arkachan World-Class Intrusion-Related Gold Deposit, Eastern Yakutia, Russia: REE, Fluid Inclusion and Stable Isotope Studies | 2 |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | Major Gold and Silver deposits of North-Eastern Russia: Descriptive Models | 1 |
| 17 | 64 | |
| 18 | 129 | |
| 19 | Geology and characteristics of gold mineralization in four Siberian gold deposits, Russia | 1 |
| 20 | 6 |
About G. N. Gamyanin
G. N. Gamyanin is a scholar working on Geophysics, Fuel Technology and Geology, having authored 26 papers that have together received 400 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (21 papers), Geological and Geochemical Analysis (16 papers) and Geological Studies and Exploration (6 papers). The work is most often cited by research in Geophysics (339 citations), Geochemistry and Petrology (78 citations) and Artificial Intelligence (328 citations). G. N. Gamyanin has collaborated with scholars based in Russia and United States. Frequent co-authors include Н. С. Бортников, О. В. Викентьева, V. Yu. Prokof’ev, Н. С. Бортников, Fritz Wagner, C. J. Stanley, Jochen Friedl, G. McMahon, Louis J. Cabri and А. В. Чугаев. Their work appears in journals such as Economic Geology, International Geology Review and Mineralogical Magazine.
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.