M. Hushchyn
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
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- Time Series Analysis and Forecasting
Papers in
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- Particle Detector Development and Performance 6
- Particle physics theoretical and experimental studies 6
- High-Energy Particle Collisions Research 3
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- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 2
- Co-authors
- A. Ustyuzhanin (6 shared papers)N. Kazeev (3 shared papers)Д. Деркач (3 shared papers)V. Chekalina (2 shared papers)P. Calafiura (3 shared papers)Jean-Roch Vlimant (3 shared papers)A. Ryzhikov (3 shared papers)Cécile Germain (3 shared papers)
- Journals
- IEEE Access (2 papers)Solar Physics (1 paper)Astronomy and Astrophysics (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- RussiaUnited StatesSwitzerland
In The Last Decade
M. Hushchyn
13 papers receiving 43 citations
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 14
- Signal Processing 10
- Radiation 5
- Astronomy and Astrophysics 9
- Artificial Intelligence 12
Countries citing papers authored by M. Hushchyn
This map shows the geographic impact of M. Hushchyn'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 M. Hushchyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Hushchyn more than expected).
Fields of papers citing papers by M. Hushchyn
This network shows the impact of papers produced by M. Hushchyn. 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 M. Hushchyn. The network helps show where M. Hushchyn may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Hushchyn, 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 | 2020 | 16 | |
| 2 | 2019 | 4 | |
| 3 | 2019 | 4 | |
| 4 | 2023 | 4 | |
| 5 | 2017 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2018 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | The TrackML challenge | 2018 | 2 |
| 11 | 2019 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2023 | 0 |
About M. Hushchyn
M. Hushchyn is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Astronomy and Astrophysics, Information Systems and Signal Processing, having authored 15 papers that have together received 50 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (6 papers), Particle physics theoretical and experimental studies (6 papers), Advanced Data Storage Technologies (3 papers), High-Energy Particle Collisions Research (3 papers), Distributed and Parallel Computing Systems (2 papers), Time Series Analysis and Forecasting (2 papers), Gamma-ray bursts and supernovae (2 papers) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (14 citations), Signal Processing (10 citations), Radiation (5 citations), Astronomy and Astrophysics (9 citations) and Artificial Intelligence (12 citations). M. Hushchyn has collaborated with scholars based in Russia, United States and Switzerland. Frequent co-authors include A. Ustyuzhanin, N. Kazeev, Д. Деркач, V. Chekalina, P. Calafiura, Jean-Roch Vlimant, A. Ryzhikov, Cécile Germain, Isabelle Guyon and A. Sapronov. Their work appears in journals such as IEEE Access, Solar Physics, Astronomy and Astrophysics, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and SHILAP Revista de lepidopterología.
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.