E. V. Polyakov
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
-
- Astronomy and Astrophysical Research
Papers in
- Biophysics 15
- Cell Image Analysis Techniques 15
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- Digital Imaging for Blood Diseases 22
- Co-authors
- A. A. Kiselev (2 shared papers)Olga V. Kiyaeva (1 shared paper)Oleg V. Nagornov (11 shared papers)M A Frenkel (7 shared papers)Nikolai Nikolaevich Tupitsyn (5 shared papers)Denis L. Gorshanov (4 shared papers)I. O. Volkov (6 shared papers)Lina A. Perelyaeva (1 shared paper)
- Journals
- Journal of Radioanalytical and Nuclear Chemistry (1 paper)Radioprotection (1 paper)Physiology & Behavior (1 paper)Astronomy Letters (4 papers)Radiochemistry (10 papers)
- Partner nations
- RussiaGermanyNetherlands
In The Last Decade
E. V. Polyakov
66 papers receiving 201 citations
Peers
Comparison fields: 5 of 63
- Biophysics 31
- Instrumentation 15
- Computer Vision and Pattern Recognition 60
- Astronomy and Astrophysics 44
- Anatomy 3
Countries citing papers authored by E. V. Polyakov
This map shows the geographic impact of E. V. Polyakov'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 E. V. Polyakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. V. Polyakov more than expected).
Fields of papers citing papers by E. V. Polyakov
This network shows the impact of papers produced by E. V. Polyakov. 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 E. V. Polyakov. The network helps show where E. V. Polyakov may publish in the future.
Co-authors
The 25 scholars most cited alongside E. V. Polyakov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 29 | |
| 2 | 2015 | 13 | |
| 3 | 2015 | 12 | |
| 4 | 2014 | 8 | |
| 5 | 2016 | 8 | |
| 6 | 2010 | 6 | |
| 7 | 2017 | 6 | |
| 8 | 2011 | 5 | |
| 9 | 2017 | 5 | |
| 10 | 2017 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 1988 | 4 | |
| 13 | 2010 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 1978 | 3 | |
| 17 | 2009 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2011 | 3 | |
| 20 | 2011 | 3 |
About E. V. Polyakov
E. V. Polyakov is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Inorganic Chemistry, Waste Management and Disposal and Media Technology, having authored 74 papers that have together received 204 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (22 papers), Cell Image Analysis Techniques (15 papers), Radioactive element chemistry and processing (12 papers), Chemical Synthesis and Characterization (8 papers), Stellar, planetary, and galactic studies (8 papers), Image Processing Techniques and Applications (7 papers), AI in cancer detection (7 papers) and Astronomy and Astrophysical Research (5 papers). The work is most often cited by research in Biophysics (31 citations), Instrumentation (15 citations), Computer Vision and Pattern Recognition (60 citations), Astronomy and Astrophysics (44 citations) and Anatomy (3 citations). E. V. Polyakov has collaborated with scholars based in Russia, Germany and Netherlands. Frequent co-authors include A. A. Kiselev, Olga V. Kiyaeva, Oleg V. Nagornov, M A Frenkel, Nikolai Nikolaevich Tupitsyn, Denis L. Gorshanov, I. O. Volkov, Lina A. Perelyaeva, Mark I. Talan and Boris A. Loginov. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, Radioprotection, Physiology & Behavior, Astronomy Letters and Radiochemistry.
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.