G. S. Nikolaev
- Geophysics top 5%
- Artificial Intelligence top 5%
- Geochemistry and Petrology top 10%
- Mechanics of Materials
- Mechanical Engineering
- Co-authors
- A. A. AriskinG. S. BarminaL DanyushevskyAndrew W. McNeillRenat AlmeevА. А. БорисовMarco L. FiorentiniKarsten Goemann
- Topics
- Geological and Geochemical Analysis (38 papers)Geochemistry and Geologic Mapping (32 papers)High-pressure geophysics and materials (15 papers)
- Partner nations
- RussiaAustraliaTajikistan
In The Last Decade
G. S. Nikolaev
38 papers receiving 477 citations
Peers
Comparison fields: 5 of 42
- Geophysics 461
- Artificial Intelligence 279
- Geochemistry and Petrology 62
- Mechanics of Materials 53
- Mechanical Engineering 35
Countries citing papers authored by G. S. Nikolaev
This map shows the geographic impact of G. S. Nikolaev'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. S. Nikolaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. S. Nikolaev more than expected).
Fields of papers citing papers by G. S. Nikolaev
This network shows the impact of papers produced by G. S. Nikolaev. 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. S. Nikolaev. The network helps show where G. S. Nikolaev may publish in the future.
Co-authorship network of co-authors of G. S. Nikolaev
This figure shows the co-authorship network connecting the top 25 collaborators of G. S. Nikolaev. A scholar is included among the top collaborators of G. S. Nikolaev 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. S. Nikolaev. G. S. Nikolaev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 31 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | 28 | |
| 16 | PGE-mineralogy of the main reef and sulfide-poor troctolite from the Yoko-Dovyren massif (Northern Baikal region) | 1 |
| 17 | 26 | |
| 18 | 33 | |
| 19 | COMAGMAT-5: a new magma crystallization model designed to simulate mafic to ultramafic sulfide-saturated systems | 4 |
| 20 | INFOREX Information Retrieval System: Analysis and Processing of Experimental Data on Phase Equilibria in Igneous Rocks | 17 |
About G. S. Nikolaev
G. S. Nikolaev is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology, having authored 42 papers that have together received 506 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (38 papers), Geochemistry and Geologic Mapping (32 papers) and High-pressure geophysics and materials (15 papers). The work is most often cited by research in Geophysics (461 citations), Geochemistry and Petrology (62 citations) and Artificial Intelligence (279 citations). G. S. Nikolaev has collaborated with scholars based in Russia, Australia and Tajikistan. Frequent co-authors include A. A. Ariskin, G. S. Barmina, L Danyushevsky, Andrew W. McNeill, Renat Almeev, А. А. Борисов, Marco L. Fiorentini, Karsten Goemann, Yu. A. Kostitsyn and М. А. Назаров. Their work appears in journals such as Contributions to Mineralogy and Petrology, Journal of Petrology 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.