L. M. Natapov

68 total papers · 7.5k total citations
42 papers, 6.2k citations indexed

About

L. M. Natapov is a scholar working on Geophysics, Geology and Artificial Intelligence. According to data from OpenAlex, L. M. Natapov has authored 42 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Geophysics, 18 papers in Geology and 16 papers in Artificial Intelligence. Recurrent topics in L. M. Natapov's work include Geological and Geochemical Analysis (36 papers), High-pressure geophysics and materials (17 papers) and Geological Studies and Exploration (17 papers). L. M. Natapov is often cited by papers focused on Geological and Geochemical Analysis (36 papers), High-pressure geophysics and materials (17 papers) and Geological Studies and Exploration (17 papers). L. M. Natapov collaborates with scholars based in Australia, Russia and United States. L. M. Natapov's co-authors include Sergei Pisarevsky, Л.П. Зоненшайн, Benjamin M. Page, Д. П. Гладкочуб, V. A. Vernikovsky, William L. Griffin, Karl E. Karlstrom, Joachim Jacobs, Victoria Pease and A Davidson and has published in prestigious journals such as Geology, Geological Society of America Bulletin and Tectonophysics.

In The Last Decade

L. M. Natapov

37 papers receiving 5.9k citations

Hit Papers

Assembly, configuration, ... 1990 2026 2002 2014 2007 1990 2009 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
L. M. Natapov 5.6k 2.0k 1.1k 951 563 42 6.2k
Д. П. Гладкочуб 5.9k 1.1× 2.8k 1.4× 1.1k 1.1× 1.0k 1.1× 665 1.2× 98 6.4k
Svetlana Bogdanova 5.1k 0.9× 2.0k 1.0× 596 0.6× 931 1.0× 642 1.1× 72 5.6k
V. A. Vernikovsky 4.6k 0.8× 1.7k 0.9× 1.6k 1.5× 845 0.9× 475 0.8× 85 5.3k
D. Bridgwater 4.9k 0.9× 2.0k 1.0× 1.1k 1.1× 847 0.9× 1.0k 1.8× 114 5.4k
Qing‐Ren Meng 5.4k 1.0× 2.2k 1.1× 911 0.9× 595 0.6× 669 1.2× 85 6.3k
Victoria Pease 4.8k 0.9× 1.9k 0.9× 1.6k 1.5× 980 1.0× 557 1.0× 121 5.9k
Bert De Waele 5.6k 1.0× 2.4k 1.2× 615 0.6× 1.2k 1.3× 756 1.3× 70 6.1k
Bernard Bingen 5.4k 1.0× 2.3k 1.1× 444 0.4× 870 0.9× 769 1.4× 93 5.9k
Boris A. Natal’in 5.7k 1.0× 3.1k 1.5× 736 0.7× 426 0.4× 607 1.1× 38 6.1k
Akiho Miyashiro 7.4k 1.3× 2.7k 1.3× 600 0.6× 521 0.5× 871 1.5× 66 7.9k

Countries citing papers authored by L. M. Natapov

Since Specialization
Citations

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

Fields of papers citing papers by L. M. Natapov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. M. Natapov. 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 L. M. Natapov. The network helps show where L. M. Natapov may publish in the future.

Co-authorship network of co-authors of L. M. Natapov

This figure shows the co-authorship network connecting the top 25 collaborators of L. M. Natapov. A scholar is included among the top collaborators of L. M. Natapov 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 L. M. Natapov. L. M. Natapov 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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