D. Karkinsky
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 11
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- Embedded Systems and FPGA Design 1
- Systems Engineering Methodologies and Applications 1
- Co-authors
- Fernanda Rimini (3 shared papers)G. Ambrosino (1 shared paper)Wolfgang Treutterer (1 shared paper)S. Gerasimov (1 shared paper)S. Brémond (1 shared paper)Giovanni Artaserse (1 shared paper)A. Pironti (1 shared paper)Gianmaria De Tommasi (1 shared paper)
- Journals
- Nuclear Fusion (3 papers)Fusion Engineering and Design (2 papers)IEEE Transactions on Nuclear Science (2 papers)Nature Physics (2 papers)IEEE Transactions on Plasma Science (1 paper)
- Partner nations
- United KingdomFranceGermany
In The Last Decade
D. Karkinsky
12 papers receiving 567 citations
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 489
- Statistical and Nonlinear Physics 35
- Materials Chemistry 83
- Radiation 7
- Aerospace Engineering 18
Countries citing papers authored by D. Karkinsky
This map shows the geographic impact of D. Karkinsky'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 D. Karkinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Karkinsky more than expected).
Fields of papers citing papers by D. Karkinsky
This network shows the impact of papers produced by D. Karkinsky. 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 D. Karkinsky. The network helps show where D. Karkinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Karkinsky, 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 | 2017 | 170 | |
| 2 | 2022 | 116 | |
| 3 | 2019 | 94 | |
| 4 | 2022 | 81 | |
| 5 | 2022 | 63 | |
| 6 | 2024 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2007 | 1 | |
| 13 | 2019 | 0 | |
| 14 | 2024 | 0 |
About D. Karkinsky
D. Karkinsky is a scholar working on Nuclear and High Energy Physics, Control and Systems Engineering, Hardware and Architecture, Safety, Risk, Reliability and Quality and Computer Networks and Communications, having authored 14 papers that have together received 588 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (11 papers), Embedded Systems and FPGA Design (1 paper), Systems Engineering Methodologies and Applications (1 paper), Particle accelerators and beam dynamics (1 paper), Logic, programming, and type systems (1 paper), Safety Systems Engineering in Autonomy (1 paper), Network Time Synchronization Technologies (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (489 citations), Statistical and Nonlinear Physics (35 citations), Materials Chemistry (83 citations), Radiation (7 citations) and Aerospace Engineering (18 citations). D. Karkinsky has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Fernanda Rimini, G. Ambrosino, Wolfgang Treutterer, S. Gerasimov, S. Brémond, Giovanni Artaserse, A. Pironti, Gianmaria De Tommasi, M. Wheatley and I.S. Carvalho. Their work appears in journals such as Nuclear Fusion, Fusion Engineering and Design, IEEE Transactions on Nuclear Science, Nature Physics and IEEE Transactions on Plasma 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.