D. Galassi
Impact in
- Nuclear and High Energy Physics top 10%
- Magnetic confinement fusion research
- Laser-Plasma Interactions and Diagnostics
-
- Fusion and Plasma Physics Studies
Papers in
-
- Magnetic confinement fusion research 68
-
- Fusion and Plasma Physics Studies 2
- Model Reduction and Neural Networks 1
- Co-authors
- Guido Ciraolo (26 shared papers)H. Bufferand (22 shared papers)Ph. Ghendrih (21 shared papers)É. Serre (19 shared papers)P. Tamain (5 shared papers)P. Tamain (20 shared papers)F. Schwander (6 shared papers)C. Theiler (16 shared papers)
- Journals
- Nuclear Fusion (24 papers)Nuclear Materials and Energy (8 papers)Plasma Physics and Controlled Fusion (7 papers)Physics of Plasmas (3 papers)Nature Physics (3 papers)
- Partner nations
- FranceSwitzerlandGermany
In The Last Decade
D. Galassi
69 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 44
- Nuclear and High Energy Physics 1.5k
- Statistical and Nonlinear Physics 51
- Materials Chemistry 142
- Radiation 15
- Computer Graphics and Computer-Aided Design 5
Countries citing papers authored by D. Galassi
This map shows the geographic impact of D. Galassi'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. Galassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Galassi more than expected).
Fields of papers citing papers by D. Galassi
This network shows the impact of papers produced by D. Galassi. 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. Galassi. The network helps show where D. Galassi may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Galassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 170 | |
| 2 | 2016 | 126 | |
| 3 | 2022 | 116 | |
| 4 | 2019 | 94 | |
| 5 | 2022 | 81 | |
| 6 | 2022 | 63 | |
| 7 | 2022 | 59 | |
| 8 | 2022 | 56 | |
| 9 | 2019 | 53 | |
| 10 | 2022 | 53 | |
| 11 | 2015 | 49 | |
| 12 | 2019 | 48 | |
| 13 | 2019 | 45 | |
| 14 | 2021 | 45 | |
| 15 | 2017 | 35 | |
| 16 | 2017 | 35 | |
| 17 | 2021 | 35 | |
| 18 | 2017 | 29 | |
| 19 | 2024 | 28 | |
| 20 | 2022 | 27 |
About D. Galassi
D. Galassi is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Materials Chemistry, Information Systems and Management and Computational Theory and Mathematics, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (68 papers), Fusion materials and technologies (4 papers), Fusion and Plasma Physics Studies (2 papers), Advanced Multi-Objective Optimization Algorithms (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Pulsed Power Technology Applications (1 paper), Model Reduction and Neural Networks (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.5k citations), Statistical and Nonlinear Physics (51 citations), Materials Chemistry (142 citations), Radiation (15 citations) and Computer Graphics and Computer-Aided Design (5 citations). D. Galassi has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Guido Ciraolo, H. Bufferand, Ph. Ghendrih, É. Serre, P. Tamain, P. Tamain, F. Schwander, C. Theiler, N. Fedorczak and H. Reimerdes. Their work appears in journals such as Nuclear Fusion, Nuclear Materials and Energy, Plasma Physics and Controlled Fusion, Physics of Plasmas and Nature Physics.
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.