N. V. Petrova

87 total papers · 508 total citations
57 papers, 404 citations indexed

About

N. V. Petrova is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, N. V. Petrova has authored 57 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atomic and Molecular Physics, and Optics, 27 papers in Materials Chemistry and 10 papers in Electrical and Electronic Engineering. Recurrent topics in N. V. Petrova's work include Advanced Chemical Physics Studies (24 papers), Catalytic Processes in Materials Science (13 papers) and nanoparticles nucleation surface interactions (7 papers). N. V. Petrova is often cited by papers focused on Advanced Chemical Physics Studies (24 papers), Catalytic Processes in Materials Science (13 papers) and nanoparticles nucleation surface interactions (7 papers). N. V. Petrova collaborates with scholars based in Ukraine, Russia and Israel. N. V. Petrova's co-authors include I.N. Yakovkin, Yu.G. Ptushinskii, V.P. Zubov, И. В. Кубракова, Dagou A. Zeze, В. А. Казаков, С. А. Тарасов, M. R. Tarasevich, V.D. Osovskii and Егор Чумаков and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review B and Applied Surface Science.

In The Last Decade

N. V. Petrova

52 papers receiving 389 citations

Author Peers

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

Author						Papers	Cites
N. V. Petrova	254	173	86	83	61	57	404
Toshihide Kioka	390 1.5×	198 1.1×	161 1.9×	171 2.1×	49 0.8×	38	467
Badal C. Khanra	265 1.0×	122 0.7×	110 1.3×	50 0.6×	91 1.5×	47	404
Maurício J. Prieto	300 1.2×	113 0.7×	46 0.5×	94 1.1×	117 1.9×	38	399
Anna V. Nartova	332 1.3×	71 0.4×	98 1.1×	101 1.2×	77 1.3×	46	483
R. Suhrmann	160 0.6×	117 0.7×	44 0.5×	107 1.3×	25 0.4×	45	369
Rafael Añez	259 1.0×	91 0.5×	80 0.9×	102 1.2×	58 1.0×	48	449
J. M. Flores‐Camacho	199 0.8×	165 1.0×	56 0.7×	132 1.6×	34 0.6×	30	379
Gabriela F. Cabeza	252 1.0×	150 0.9×	67 0.8×	122 1.5×	125 2.0×	43	442
С. А. Гуревич	252 1.0×	96 0.6×	89 1.0×	109 1.3×	54 0.9×	56	421
Aude Bailly	307 1.2×	106 0.6×	83 1.0×	107 1.3×	65 1.1×	28	444

Countries citing papers authored by N. V. Petrova

Since Specialization

Citations

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

Fields of papers citing papers by N. V. Petrova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. V. Petrova. 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 N. V. Petrova. The network helps show where N. V. Petrova may publish in the future.

Co-authorship network of co-authors of N. V. Petrova

This figure shows the co-authorship network connecting the top 25 collaborators of N. V. Petrova. A scholar is included among the top collaborators of N. V. Petrova 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 N. V. Petrova. N. V. Petrova 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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