E. P. Suchkov
Impact in
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- Magnetic confinement fusion research
- Laser-Plasma Interactions and Diagnostics
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- Fusion and Plasma Physics Studies
- Model Reduction and Neural Networks
Papers in
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- Magnetic confinement fusion research 9
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- Numerical methods in inverse problems 3
- Co-authors
- Ф. С. Зайцев (7 shared papers)Emilia R. Solano (1 shared paper)Nick C. Hawkes (2 shared papers)Dimitri P. Kostomarov (5 shared papers)Štefan Matejčík (2 shared papers)В.В. Дроздов (1 shared paper)Andrea Murari (2 shared papers)D. Terranova (1 shared paper)
- Journals
- Nuclear Fusion (3 papers)Nature Physics (2 papers)Nature Communications (1 paper)Communications in Computational Physics (1 paper)Fusion Science & Technology (1 paper)
- Partner nations
- United KingdomRussiaItaly
In The Last Decade
E. P. Suchkov
9 papers receiving 383 citations
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 335
- Statistical and Nonlinear Physics 32
- Materials Chemistry 34
- General Energy 1
- Aerospace Engineering 12
Countries citing papers authored by E. P. Suchkov
This map shows the geographic impact of E. P. Suchkov'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. P. Suchkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. P. Suchkov more than expected).
Fields of papers citing papers by E. P. Suchkov
This network shows the impact of papers produced by E. P. Suchkov. 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. P. Suchkov. The network helps show where E. P. Suchkov may publish in the future.
Co-authors
The 17 scholars most cited alongside E. P. Suchkov, 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 | 2022 | 116 | |
| 2 | 2019 | 94 | |
| 3 | 2022 | 81 | |
| 4 | 2022 | 63 | |
| 5 | 2024 | 19 | |
| 6 | 2011 | 13 | |
| 7 | 2012 | 2 | |
| 8 | Plasma equilibrium reconstruction of jet discharges using the imas modelling infrastructure | 2018 | 2 |
| 9 | 2011 | 1 | |
| 10 | 2012 | 0 | |
| 11 | 2014 | 0 | |
| 12 | 2014 | 0 | |
| 13 | 2018 | 0 |
About E. P. Suchkov
E. P. Suchkov is a scholar working on Nuclear and High Energy Physics, Mathematical Physics, Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 13 papers that have together received 391 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (9 papers), Numerical methods in inverse problems (3 papers), Matrix Theory and Algorithms (1 paper), Distributed and Parallel Computing Systems (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (335 citations), Statistical and Nonlinear Physics (32 citations), Materials Chemistry (34 citations), General Energy (1 citation) and Aerospace Engineering (12 citations). E. P. Suchkov has collaborated with scholars based in United Kingdom, Russia and Italy. Frequent co-authors include Ф. С. Зайцев, Emilia R. Solano, Nick C. Hawkes, Dimitri P. Kostomarov, Štefan Matejčík, В.В. Дроздов, Andrea Murari, D. Terranova, P. J. Mc Carthy and Blaise Faugeras. Their work appears in journals such as Nuclear Fusion, Nature Physics, Nature Communications, Communications in Computational Physics and Fusion Science & Technology.
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.