Kharkov Technologies

298 papers receiving 3.9k citations

Peers

Kharkov Technologies
Comparison fields: 5 of 180
  • Mathematical Physics 561
  • Applied Mathematics 525
  • Astronomy and Astrophysics 552
  • Computational Theory and Mathematics 508
  • Control and Systems Engineering 687
Replace Program Systems Institute of RAS with:
Program Systems Institute of RAS Russia
Russian Federal Space Agency Russia
Donetsk State University of Management Ukraine
Rostov State University of Civil Engineering Russia
Feza Gürsey Institute Türkiye
Kyiv Academic University Ukraine
Heidelberg (Poland) Poland
Ukrainian Academy of Agrarian Sciences Ukraine
Saratov Research Center Russia
Universitatea Nicolae Titulescu din București Romania
Kharkov Technologies relative to Program Systems Institute of RAS Russia Program Systems Institute of RAS's profile →
Citations per field
00.5×1.5×2.4×
Program Systems Institute of RAS · 1×
Citations per year

Countries citing scholars working at Kharkov Technologies

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Kharkov Technologies. 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 papers produced at Kharkov Technologies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kharkov Technologies more than expected).

Fields of papers published by authors at Kharkov Technologies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Kharkov Technologies at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Kharkov Technologies at the time of their publication.

About Kharkov Technologies

In recent decades, authors affiliated with Kharkov Technologies have published 346 papers, which have received a total of 4.0k indexed citations . Scholars at this organization have produced 47 papers in Mathematical Physics, 2 papers in Nuclear Energy and Engineering, 32 papers in Applied Mathematics, 35 papers in Computational Theory and Mathematics and 26 papers in Nuclear and High Energy Physics on the topics of Stability and Controllability of Differential Equations (35 papers), Advanced Mathematical Modeling in Engineering (28 papers), Numerical methods in inverse problems (13 papers), Advanced Banach Space Theory (13 papers), Physics of Superconductivity and Magnetism (11 papers), Plasma Diagnostics and Applications (11 papers), Nuclear physics research studies (9 papers) and Theoretical and Computational Physics (9 papers). Their work is cited by papers focused on Mathematical Physics (561 citations), Applied Mathematics (525 citations), Astronomy and Astrophysics (552 citations), Computational Theory and Mathematics (508 citations) and Control and Systems Engineering (687 citations). Authors at Kharkov Technologies collaborate with scholars in Ukraine, Russia and United States and have published in prestigious journals including Mathematical Methods in the Applied Sciences, Studia Mathematica, Journal of Fluorescence, Differential and Integral Equations and Journal of Dynamics and Differential Equations. Some of Kharkov Technologies's most productive authors include Igor Čhuešhov, Eugene M. Chudnovsky, M. A. Kreslavsky, J. W. Head, Wayne M. Saslow, R. A. Serota, Irena Lasiecka, A. Pełczyński, Alexander V. Rezounenko and N L Volodos.

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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