D. Ya. Petrina

90 total papers · 676 total citations
48 papers, 340 citations indexed

About

D. Ya. Petrina is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Applied Mathematics. According to data from OpenAlex, D. Ya. Petrina has authored 48 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistical and Nonlinear Physics, 14 papers in Atomic and Molecular Physics, and Optics and 14 papers in Applied Mathematics. Recurrent topics in D. Ya. Petrina's work include Advanced Thermodynamics and Statistical Mechanics (14 papers), Gas Dynamics and Kinetic Theory (9 papers) and Mathematical Biology Tumor Growth (9 papers). D. Ya. Petrina is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (14 papers), Gas Dynamics and Kinetic Theory (9 papers) and Mathematical Biology Tumor Growth (9 papers). D. Ya. Petrina collaborates with scholars based in Czechia, Ukraine and Italy. D. Ya. Petrina's co-authors include V. I. Gerasimenko, C. Cercignani, N. N. Bogolyubov, Stanislav Ivanov, E. D. Belokolos, Maria Lampis, А. М. Самойленко, V. S. Vladimirov and Yu. A. Mitropol’skii and has published in prestigious journals such as Russian Mathematical Surveys, Theoretical and Mathematical Physics and Ukrainian Mathematical Journal.

In The Last Decade

D. Ya. Petrina

33 papers receiving 237 citations

Author Peers

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

Author						Papers	Cites
D. Ya. Petrina	153	112	99	65	54	48	340
V. I. Gerasimenko	101 0.7×	111 1.0×	65 0.7×	87 1.3×	14 0.3×	37	308
Paolo Buttà	146 1.0×	21 0.2×	61 0.6×	72 1.1×	58 1.1×	45	307
S. Caprino	89 0.6×	91 0.8×	75 0.8×	236 3.6×	24 0.4×	31	309
Daniel Spirn	105 0.7×	72 0.6×	138 1.4×	137 2.1×	68 1.3×	33	368
Giada Basile	158 1.0×	40 0.4×	46 0.5×	29 0.4×	64 1.2×	20	377
William Greenberg	85 0.6×	90 0.8×	145 1.5×	146 2.2×	42 0.8×	59	382
Naeem Ullah	182 1.2×	103 0.9×	21 0.2×	9 0.1×	17 0.3×	46	345
Maria C. Carvalho	127 0.8×	25 0.2×	132 1.3×	206 3.2×	55 1.0×	22	333
Shigeki Matsutani	194 1.3×	126 1.1×	95 1.0×	57 0.9×	24 0.4×	72	388
Gideon Simpson	157 1.0×	35 0.3×	135 1.4×	23 0.4×	8 0.1×	32	316

Countries citing papers authored by D. Ya. Petrina

Since Specialization

Citations

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

Fields of papers citing papers by D. Ya. Petrina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Ya. Petrina. 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 D. Ya. Petrina. The network helps show where D. Ya. Petrina may publish in the future.

Co-authorship network of co-authors of D. Ya. Petrina

This figure shows the co-authorship network connecting the top 25 collaborators of D. Ya. Petrina. A scholar is included among the top collaborators of D. Ya. Petrina 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 D. Ya. Petrina. D. Ya. Petrina 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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