Image Processing Systems Institute

23.0k citations
1.9k papers ·

Impact in

Papers in

Image Processing Systems Institute

1.7k papers receiving 22.4k citations

Peers

Image Processing Systems Institute
Comparison fields: 5 of 189
  • Atomic and Molecular Physics, and Optics 12.8k
  • Surfaces, Coatings and Films 2.7k
  • Biomedical Engineering 11.1k
  • Structural Biology 258
  • Acoustics and Ultrasonics 158
Replace Institute of Physics and Technology with:
Institute of Physics and Technology Russia
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Russian Quantum Center Russia
Institute of Physics Azerbaijan
Yuri Gagarin State Technical University of Saratov Russia
United Aircraft (Russia) Russia
O.Ya. Usikov Institute for Radiophysics and Electronics Ukraine
National Research University of Electronic Technology Russia
Institute of Continuous Media Mechanics Russia
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Image Processing Systems Institute relative to Institute of Physics and Technology Russia Institute of Physics and Technology's profile →
Citations per field
00.5×5×11.1×
Institute of Physics and Technology · 1×
Citations per year

Countries citing scholars working at Image Processing Systems Institute

Since Specialization
Citations

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

Fields of papers published by authors at Image Processing Systems Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Image Processing Systems Institute 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 Image Processing Systems Institute at the time of their publication.

About Image Processing Systems Institute

In recent decades, authors affiliated with Image Processing Systems Institute have published 1.9k papers, which have received a total of 23.0k indexed citations . Scholars at this organization have produced 311 papers in Surfaces, Coatings and Films, 990 papers in Atomic and Molecular Physics, and Optics, 822 papers in Biomedical Engineering, 162 papers in Media Technology and 267 papers in Computer Vision and Pattern Recognition on the topics of Orbital Angular Momentum in Optics (620 papers), Photonic and Optical Devices (320 papers), Optical Coatings and Gratings (308 papers), Near-Field Optical Microscopy (229 papers), Photonic Crystals and Applications (209 papers), Advanced optical system design (181 papers), Plasmonic and Surface Plasmon Research (178 papers) and Optical Polarization and Ellipsometry (155 papers). Their work is cited by papers focused on Atomic and Molecular Physics, and Optics (12.8k citations), Surfaces, Coatings and Films (2.7k citations), Biomedical Engineering (11.1k citations), Structural Biology (258 citations) and Acoustics and Ultrasonics (158 citations). Authors at Image Processing Systems Institute collaborate with scholars in Russia, Poland and Germany and have published in prestigious journals including Computer Optics, Optical Memory and Neural Networks, Photonics, Journal of Modern Optics and Optics Letters. Some of Image Processing Systems Institute's most productive authors include Svetlana N. Khonina, Nikolay L. Kazanskiy, Victor V. Kotlyar, Muhammad Ali Butt, A. A. Kovalev, Alexey P. Porfirev, Leonid L. Doskolovich, В. А. Сойфер, Dmitry A. Bykov and Andrey V. Ustinov.

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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