D. Galassi

1.8k total citations
44 papers, 577 citations indexed

About

D. Galassi is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, D. Galassi has authored 44 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Nuclear and High Energy Physics, 29 papers in Materials Chemistry and 19 papers in Astronomy and Astrophysics. Recurrent topics in D. Galassi's work include Magnetic confinement fusion research (41 papers), Fusion materials and technologies (29 papers) and Ionosphere and magnetosphere dynamics (19 papers). D. Galassi is often cited by papers focused on Magnetic confinement fusion research (41 papers), Fusion materials and technologies (29 papers) and Ionosphere and magnetosphere dynamics (19 papers). D. Galassi collaborates with scholars based in France, Switzerland and United States. D. Galassi's co-authors include Giuseppe Ciraolo, É. Serre, Ph. Ghendrih, H. Bufferand, Catherine Colin, P. Tamain, F. Schwander, N. Fedorczak, C. Theiler and H. Reimerdes and has published in prestigious journals such as Journal of Computational Physics, Computer Physics Communications and Physics of Plasmas.

In The Last Decade

D. Galassi

41 papers receiving 555 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Galassi France 14 533 294 240 135 94 44 577
A. Fil United Kingdom 16 545 1.0× 296 1.0× 253 1.1× 179 1.3× 101 1.1× 34 623
P. Tamain France 14 571 1.1× 290 1.0× 269 1.1× 130 1.0× 91 1.0× 32 626
A. J. Creely United States 16 560 1.1× 295 1.0× 281 1.2× 134 1.0× 173 1.8× 32 643
M. Griener Germany 14 585 1.1× 258 0.9× 259 1.1× 158 1.2× 154 1.6× 58 646
Annamaria Mosetto Switzerland 14 540 1.0× 223 0.8× 408 1.7× 98 0.7× 54 0.6× 19 567
M. Maslov United Kingdom 14 587 1.1× 397 1.4× 241 1.0× 187 1.4× 128 1.4× 49 709
P. Rodriguez-Fernandez United States 16 486 0.9× 214 0.7× 248 1.0× 102 0.8× 182 1.9× 59 582
J. McClenaghan United States 13 466 0.9× 188 0.6× 198 0.8× 135 1.0× 149 1.6× 52 513
Eero Hirvijoki Finland 13 514 1.0× 153 0.5× 294 1.2× 98 0.7× 173 1.8× 44 613
D. Eldon United States 18 795 1.5× 449 1.5× 256 1.1× 204 1.5× 207 2.2× 54 843

Countries citing papers authored by D. Galassi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of D. Galassi

This figure shows the co-authorship network connecting the top 25 collaborators of D. Galassi. A scholar is included among the top collaborators of D. Galassi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Galassi. D. Galassi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Theiler, C., et al.. (2024). Validation of SOLPS-ITER simulations against the TCV-X21 reference case. Nuclear Fusion. 64(5). 56040–56040.
2.
Wüthrich, C., C. Theiler, B.P. Duval, et al.. (2024). Dependence of divertor turbulence on plasma density and current in TCV. Nuclear Fusion. 65(1). 16011–16011.
3.
Offeddu, N., T. Golfinopoulos, C. Theiler, et al.. (2023). Estimating cross-field particle transport at the outer midplane of TCV by tracking filaments with machine learning. Nuclear Fusion. 63(7). 76025–76025. 8 indexed citations
4.
Wüthrich, C., C. Theiler, N. Offeddu, et al.. (2022). X-point and divertor filament dynamics from gas puff imaging on TCV. Nuclear Fusion. 62(10). 106022–106022. 18 indexed citations
5.
Bufferand, H., J. Bucalossi, G. Calabrò, et al.. (2022). Implementation of multi-component Zhdanov closure in SOLEDGE3X. Plasma Physics and Controlled Fusion. 64(5). 55001–55001. 16 indexed citations
6.
Offeddu, N., C. Theiler, T. Golfinopoulos, et al.. (2022). Cross-field and parallel dynamics of SOL filaments in TCV. Nuclear Fusion. 62(9). 96014–96014. 17 indexed citations
7.
Dudson, B., R. Jorge, A. H. Nielsen, et al.. (2021). Edge turbulence in ISTTOK: a multi-code fluid validation. Plasma Physics and Controlled Fusion. 63(5). 55013–55013. 7 indexed citations
8.
Serre, É., D. Galassi, Ph. Ghendrih, et al.. (2021). Impact of collisionality on turbulence in the edge of tokamak plasma using 3D global simulations. Nuclear Fusion. 61(5). 56002–56002. 8 indexed citations
9.
Février, O., H. Reimerdes, C. Theiler, et al.. (2021). Divertor closure effects on the TCV boundary plasma. Nuclear Materials and Energy. 27. 100977–100977. 27 indexed citations
10.
Cartier-Michaud, Thomas, D. Galassi, Ph. Ghendrih, et al.. (2020). A posteriori error estimate in fluid simulations of turbulent edge plasmas for magnetic fusion in tokamak using the data mining iPoPe method. Physics of Plasmas. 27(5). 4 indexed citations
11.
Nespoli, F., P. Tamain, N. Fedorczak, D. Galassi, & Y. Marandet. (2020). A new mechanism for filament disconnection at the X-point: poloidal shear in radial E × B velocity. Nuclear Fusion. 60(4). 46002–46002. 7 indexed citations
12.
Galassi, D., H. Reimerdes, C. Theiler, et al.. (2020). Numerical investigation of optimal divertor gas baffle closure on TCV. Plasma Physics and Controlled Fusion. 62(11). 115009–115009. 17 indexed citations
13.
Wensing, M., B.P. Duval, O. Février, et al.. (2019). SOLPS-ITER simulations of the TCV divertor upgrade. Plasma Physics and Controlled Fusion. 61(8). 85029–85029. 38 indexed citations
14.
Nespoli, F., P. Tamain, N. Fedorczak, et al.. (2019). 3D structure and dynamics of filaments in turbulence simulations of WEST diverted plasmas. Nuclear Fusion. 59(9). 96006–96006. 16 indexed citations
15.
Wensing, M., H. De Oliveira, B.P. Duval, et al.. (2019). Drift effects in SOLPS-ITER simulations for the TCV divertor upgrade. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
16.
Galassi, D., C. Theiler, H. Reimerdes, et al.. (2018). Performance simulation of divertor neutral baffles in the TCV tokamak with the SolEdge2D-EIRENE code. Bulletin of the American Physical Society. 2018. 1 indexed citations
17.
Galassi, D., et al.. (2017). Flux expansion effect on turbulent transport in 3D global simulations. Nuclear Materials and Energy. 12. 953–958. 3 indexed citations
18.
Galassi, D., H. Bufferand, Giuseppe Ciraolo, et al.. (2017). Drive of parallel flows by turbulence and large-scale E × B transverse transport in divertor geometry. Nuclear Fusion. 57(3). 36029–36029. 30 indexed citations
19.
Tamain, P., Catherine Colin, L. Colas, et al.. (2017). Numerical analysis of the impact of an RF sheath on the Scrape-Off Layer in 2D and 3D turbulence simulations. Nuclear Materials and Energy. 12. 1171–1177. 8 indexed citations
20.
Reux, C., F. Imbeaux, J. F. Artaud, et al.. (2015). Coupling between a multi-physics workflow engine and an optimization framework. Computer Physics Communications. 200. 76–86. 5 indexed citations

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.

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