A. I. Prilepko

35 total papers · 1.0k total citations
25 papers, 708 citations indexed

About

A. I. Prilepko is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, A. I. Prilepko has authored 25 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mathematical Physics, 16 papers in Computational Theory and Mathematics and 16 papers in Applied Mathematics. Recurrent topics in A. I. Prilepko's work include Numerical methods in inverse problems (23 papers), Differential Equations and Boundary Problems (16 papers) and Advanced Mathematical Modeling in Engineering (15 papers). A. I. Prilepko is often cited by papers focused on Numerical methods in inverse problems (23 papers), Differential Equations and Boundary Problems (16 papers) and Advanced Mathematical Modeling in Engineering (15 papers). A. I. Prilepko collaborates with scholars based in Russia, Taiwan and Italy. A. I. Prilepko's co-authors include I. A. Vasin, Dmitry Orlovsky, В. Л. Камынин, Alfredo Lorenzi, Sen-Yen Shaw and Sergey Piskarev and has published in prestigious journals such as Inverse Problems, Differential and Integral Equations and Siberian Mathematical Journal.

In The Last Decade

A. I. Prilepko

24 papers receiving 627 citations

Hit Papers

Methods for Solving Inver... 2000 2026 2008 2017 2000 100 200 300

Author Peers

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

Author Last Decade Papers Cites
A. I. Prilepko 635 406 360 117 104 25 708
Alberto Ferrero 313 0.5× 545 1.3× 502 1.4× 71 0.6× 137 1.3× 42 876
Jaan Janno 406 0.6× 207 0.5× 181 0.5× 258 2.2× 104 1.0× 69 657
A. P. Mikhailov 251 0.4× 380 0.9× 263 0.7× 28 0.2× 197 1.9× 14 657
G. A. Sviridyuk 391 0.6× 665 1.6× 185 0.5× 50 0.4× 97 0.9× 56 823
Vladimir G. Maz’ja 313 0.5× 577 1.4× 319 0.9× 58 0.5× 41 0.4× 10 762
Hans Wallin 292 0.5× 504 1.2× 272 0.8× 80 0.7× 15 0.1× 44 730
Augusto C. Ponce 360 0.6× 573 1.4× 441 1.2× 72 0.6× 48 0.5× 45 736
Qing Han 266 0.4× 545 1.3× 277 0.8× 34 0.3× 41 0.4× 40 718
Arturo de Pablo 203 0.3× 433 1.1× 304 0.8× 35 0.3× 115 1.1× 36 668
Gregory Eskin 635 1.0× 315 0.8× 406 1.1× 152 1.3× 62 0.6× 55 846

Countries citing papers authored by A. I. Prilepko

Since Specialization
Citations

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

Fields of papers citing papers by A. I. Prilepko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. I. Prilepko. 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 A. I. Prilepko. The network helps show where A. I. Prilepko may publish in the future.

Co-authorship network of co-authors of A. I. Prilepko

This figure shows the co-authorship network connecting the top 25 collaborators of A. I. Prilepko. A scholar is included among the top collaborators of A. I. Prilepko 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 A. I. Prilepko. A. I. Prilepko 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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