И. В. Прохоров

1.1k citations
89 papers · 802 indexed · h-index 15
Topics
Radiative Heat Transfer Studies (23 papers)Numerical methods in inverse problems (21 papers)Optical Imaging and Spectroscopy Techniques (18 papers)

In The Last Decade

И. В. Прохоров

80 papers receiving 753 citations

Peers

И. В. Прохоров
Comparison fields: 5 of 82
  • Biomedical Engineering 322
  • Computational Mechanics 305
  • Mathematical Physics 166
  • Civil and Structural Engineering 132
  • Radiology, Nuclear Medicine and Imaging 126
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И. В. Прохоров relative to Thomas J. Asaki United States Thomas J. Asaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by И. В. Прохоров

Since Specialization
Citations

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

Fields of papers citing papers by И. В. Прохоров

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by И. В. Прохоров. 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 И. В. Прохоров. The network helps show where И. В. Прохоров may publish in the future.

Co-authorship network of co-authors of И. В. Прохоров

This figure shows the co-authorship network connecting the top 25 collaborators of И. В. Прохоров. A scholar is included among the top collaborators of И. В. Прохоров 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 И. В. Прохоров. И. В. Прохоров is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 0
6 4
7 5
8 15
9 16
10
Prokhorov and contemporary probability theory : in honor of Yuri V. Prokhorov
2
11 18
12 1
13 70
14 12
15
Transport Equation and Tomography
39
16
Rapid stretching of polymer solutions
4
17
Magnetorheological effect in a suspension with an active carrier fluid
2
18
Dynamic and physical properties of ferrosuspensions with a structure rearranged by an external magnetic field
3
19
Probability theory and mathematical statistics : proceedings of the fourth USSR-Japan symposium, held at Tbilisi, USSR, August 23-29, 1982
1
20
Теория вероятностей : основные понятия предельные теоремы случайные процессы
0

About И. В. Прохоров

И. В. Прохоров is a scholar working on Mathematical Physics, Physiology and Computational Mechanics, having authored 89 papers that have together received 802 indexed citations. Recurring topics across this work include Radiative Heat Transfer Studies (23 papers), Numerical methods in inverse problems (21 papers) and Optical Imaging and Spectroscopy Techniques (18 papers). The work is most often cited by research in Mathematical Physics (166 citations), Computational Mechanics (305 citations) and Biomedical Engineering (322 citations). И. В. Прохоров has collaborated with scholars based in Russia, Belarus and United States. Frequent co-authors include Andrey Kovtanyuk, Z. P. Shul’man, Boris Khusid, В. Е. Агабеков, William Kordonski, Stephen D. Jacobs, Donald Golini, Yuling Hsu, Klaus Krickeberg and S. R. Gorodkin. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Magnetism and Magnetic Materials and International Journal of Multiphase Flow.

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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