V. Myronenko
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
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- Particle accelerators and beam dynamics
- Nuclear reactor physics and engineering
Papers in
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- Quantum Chromodynamics and Particle Interactions 6
- Particle physics theoretical and experimental studies 6
- High-Energy Particle Collisions Research 5
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- Computational Physics and Python Applications 1
- Co-authors
- A. M. Cooper-Sarkar (5 shared papers)B. Foster (4 shared papers)M. Wing (3 shared papers)I. Abt (4 shared papers)K. Wichmann (2 shared papers)Katarzyna Wichmann (2 shared papers)Fred Olness (1 shared paper)C. Gwenlan (1 shared paper)
- Journals
- Physical review. D (3 papers)The European Physical Journal C (1 paper)DESY (CERN, DESY, Fermilab, IHEP, and SLAC) (2 papers)EPJ Web of Conferences (1 paper)
- Partner nations
- GermanyUnited KingdomRussia
In The Last Decade
V. Myronenko
7 papers receiving 61 citations
Peers
Comparison fields: 5 of 10
- Nuclear and High Energy Physics 58
- Aerospace Engineering 5
- Astronomy and Astrophysics 2
- Artificial Intelligence 2
- Electrical and Electronic Engineering 3
Countries citing papers authored by V. Myronenko
This map shows the geographic impact of V. Myronenko'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 V. Myronenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Myronenko more than expected).
Fields of papers citing papers by V. Myronenko
This network shows the impact of papers produced by V. Myronenko. 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 V. Myronenko. The network helps show where V. Myronenko may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Myronenko, 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 | 2016 | 21 | |
| 2 | 2015 | 20 | |
| 3 | 2017 | 10 | |
| 4 | 2016 | 4 | |
| 5 | 2015 | 3 | |
| 6 | Study of HERA $ep$ Data at Low $Q^2$ and Low $x_{Bj}$ and the Need for Higher-Twist Corrections to Standard pQCD Evolution | 2016 | 2 |
| 7 | 2016 | 1 |
About V. Myronenko
V. Myronenko is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 7 papers that have together received 61 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (6 papers), Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (5 papers), Plasma Diagnostics and Applications (1 paper), Non-Destructive Testing Techniques (1 paper), Computational Physics and Python Applications (1 paper) and Advanced Surface Polishing Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (58 citations), Aerospace Engineering (5 citations), Astronomy and Astrophysics (2 citations), Artificial Intelligence (2 citations) and Electrical and Electronic Engineering (3 citations). V. Myronenko has collaborated with scholars based in Germany, United Kingdom and Russia. Frequent co-authors include A. M. Cooper-Sarkar, B. Foster, M. Wing, I. Abt, K. Wichmann, Katarzyna Wichmann, Fred Olness, C. Gwenlan, V. Radescu and S. Camarda. Their work appears in journals such as Physical review. D, The European Physical Journal C, DESY (CERN, DESY, Fermilab, IHEP, and SLAC) and EPJ Web of Conferences.
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.