F. Ratnikov
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- Particle physics theoretical and experimental studies 20
- Particle Detector Development and Performance 11
- High-Energy Particle Collisions Research 5
- Neutrino Physics Research 4
- Dark Matter and Cosmic Phenomena 4
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- Radiation Detection and Scintillator Technologies 5
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- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 4
F. Ratnikov
22 papers receiving 85 citations
Peers
Comparison fields: 5 of 30
- Nuclear and High Energy Physics 61
- Radiation 12
- Acoustics and Ultrasonics 1
- Artificial Intelligence 18
- Computer Networks and Communications 12
Countries citing papers authored by F. Ratnikov
This map shows the geographic impact of F. Ratnikov'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 F. Ratnikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Ratnikov more than expected).
Fields of papers citing papers by F. Ratnikov
This network shows the impact of papers produced by F. Ratnikov. 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 F. Ratnikov. The network helps show where F. Ratnikov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Ratnikov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 3 | |
| 6 | (1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets | 2020 | 2 |
| 7 | 2020 | 4 | |
| 8 | 2019 | 0 | |
| 9 | 2019 | 16 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 0 | |
| 12 | 2017 | 4 | |
| 13 | 2013 | 1 | |
| 14 | 2005 | 1 | |
| 15 | 2005 | 1 | |
| 16 | The CDF-II Tau Physics Program - Triggers, $\tau$ ID and Preliminary Results | 2003 | 0 |
| 17 | CDF Run II Data File Catalog | 2001 | 2 |
| 18 | 1999 | 1 | |
| 19 | 1998 | 8 | |
| 20 | ABSORPTION SPECTRA OF PURE QUARTZ FIBER LIGHTGUIDES IRRADIATED WITH GAMMA -QUANTA FROM A 60CO SOURCE | 1997 | 6 |
About F. Ratnikov
F. Ratnikov is a scholar working on Nuclear and High Energy Physics, Radiation, Information Systems and Management, Computer Networks and Communications and Artificial Intelligence, having authored 28 papers that have together received 90 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (20 papers), Particle Detector Development and Performance (11 papers), High-Energy Particle Collisions Research (5 papers), Radiation Detection and Scintillator Technologies (5 papers), Neutrino Physics Research (4 papers), Distributed and Parallel Computing Systems (4 papers), Dark Matter and Cosmic Phenomena (4 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (61 citations), Radiation (12 citations), Acoustics and Ultrasonics (1 citation), Artificial Intelligence (18 citations) and Computer Networks and Communications (12 citations). F. Ratnikov has collaborated with scholars based in Russia, United States and Italy. Frequent co-authors include Д. Деркач, A. Ustyuzhanin, N. Kazeev, E. B. Ziebarth, V. Zhukov, C. Beskidt, W. De Boer, D. I. Kazakov, Alexey Shevelev and A. S. Boldyrev. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Propulsion and Power, Physics Letters B, Journal of Instrumentation and IEEE Transactions on Nuclear Science.
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.