F. Schwander

914 total citations
44 papers, 679 citations indexed

About

F. Schwander is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Materials Chemistry. According to data from OpenAlex, F. Schwander has authored 44 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Nuclear and High Energy Physics, 21 papers in Astronomy and Astrophysics and 14 papers in Materials Chemistry. Recurrent topics in F. Schwander's work include Magnetic confinement fusion research (41 papers), Ionosphere and magnetosphere dynamics (20 papers) and Fusion materials and technologies (14 papers). F. Schwander is often cited by papers focused on Magnetic confinement fusion research (41 papers), Ionosphere and magnetosphere dynamics (20 papers) and Fusion materials and technologies (14 papers). F. Schwander collaborates with scholars based in France, United Kingdom and United States. F. Schwander's co-authors include É. Serre, Ph. Ghendrih, Giuseppe Ciraolo, P. Tamain, H. Bufferand, Catherine Colin, P. Tamain, Y. Marandet, D. Galassi and H. Bufferand and has published in prestigious journals such as Journal of Computational Physics, International Journal for Numerical Methods in Engineering and Computer Physics Communications.

In The Last Decade

F. Schwander

42 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Schwander France 14 597 330 251 160 104 44 679
H. Bufferand France 16 577 1.0× 372 1.1× 237 0.9× 129 0.8× 123 1.2× 69 748
P. Tamain France 14 571 1.0× 290 0.9× 269 1.1× 130 0.8× 73 0.7× 32 626
M. Maslov United Kingdom 14 587 1.0× 397 1.2× 241 1.0× 187 1.2× 27 0.3× 49 709
T. A. Gianakon United States 12 769 1.3× 120 0.4× 564 2.2× 137 0.9× 79 0.8× 18 864
D. Galassi France 14 533 0.9× 294 0.9× 240 1.0× 135 0.8× 25 0.2× 44 577
P. Rodriguez-Fernandez United States 16 486 0.8× 214 0.6× 248 1.0× 102 0.6× 27 0.3× 59 582
A. Pletzer United States 13 518 0.9× 138 0.4× 327 1.3× 136 0.8× 35 0.3× 35 662
M. Nakata Japan 17 805 1.3× 299 0.9× 505 2.0× 125 0.8× 28 0.3× 82 943
Jacques Blum France 10 320 0.5× 111 0.3× 102 0.4× 130 0.8× 45 0.4× 20 410
Eero Hirvijoki Finland 13 514 0.9× 153 0.5× 294 1.2× 98 0.6× 24 0.2× 44 613

Countries citing papers authored by F. Schwander

Since Specialization
Citations

This map shows the geographic impact of F. Schwander'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 F. Schwander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Schwander more than expected).

Fields of papers citing papers by F. Schwander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Schwander. 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 F. Schwander. The network helps show where F. Schwander may publish in the future.

Co-authorship network of co-authors of F. Schwander

This figure shows the co-authorship network connecting the top 25 collaborators of F. Schwander. A scholar is included among the top collaborators of F. Schwander 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 F. Schwander. F. Schwander 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.
Schwander, F., et al.. (2025). A h ‐Adaptivity Strategy for Hybridizable Discontinuous Galerkin (HDG) Simulations of Fluid Transport Models in Tokamak Plasma. International Journal for Numerical Methods in Engineering. 126(17).
2.
Schwander, F., et al.. (2024). First integrated core-edge fluid simulation of ITER’s Limiter–Divertor transition with SolEdge-HDG. Nuclear Materials and Energy. 41. 101750–101750. 1 indexed citations
3.
Tamain, P., X. Bonnin, R.A. Pitts, et al.. (2024). First SOLEDGE3X-EIRENE simulations of the ITER Neon seeded burning plasma boundary up to the first wall. Nuclear Materials and Energy. 41. 101780–101780. 4 indexed citations
4.
Bufferand, H., Giuseppe Ciraolo, G. Falchetto, et al.. (2024). Global 3D full-scale turbulence simulations of TCV-X21 experiments with SOLEDGE3X. Nuclear Materials and Energy. 41. 101824–101824. 3 indexed citations
5.
Serre, É., et al.. (2024). Global particle buildup simulations with gas puff scan: application to WEST discharge. Frontiers in Physics. 12. 3 indexed citations
6.
Schwander, F., et al.. (2023). Global fluid simulations of edge plasma turbulence in tokamaks: a review. Computers & Fluids. 270. 106141–106141. 10 indexed citations
7.
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
8.
Bufferand, H., J. Bucalossi, Giuseppe Ciraolo, et al.. (2021). Progress in edge plasma turbulence modelling—hierarchy of models from 2D transport application to 3D fluid simulations in realistic tokamak geometry. Nuclear Fusion. 61(11). 116052–116052. 30 indexed citations
9.
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
10.
Bufferand, H., P. Tamain, J. Bucalossi, et al.. (2018). Three-dimensional modelling of edge multi-component plasma taking into account realistic wall geometry. Nuclear Materials and Energy. 18. 82–86. 27 indexed citations
11.
Bufferand, H., et al.. (2018). A hybrid discontinuous Galerkin method for tokamak edge plasma simulations in global realistic geometry. Journal of Computational Physics. 374. 515–532. 17 indexed citations
12.
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
13.
Tamain, P., H. Bufferand, Giuseppe Ciraolo, et al.. (2016). The TOKAM3X code for edge turbulence fluid simulations of tokamak plasmas in versatile magnetic geometries. Journal of Computational Physics. 321. 606–623. 111 indexed citations
14.
Ciraolo, Giuseppe, Ph. Ghendrih, P. Hennequin, et al.. (2014). Investigation of drift velocity effects on the EDGE and SOL transport. Journal of Nuclear Materials. 463. 489–492. 3 indexed citations
15.
Colin, Catherine, et al.. (2014). Impact of a Langmuir Probe on Turbulence Measurements in the Scrape‐Off‐Layer of Tokamaks. Contributions to Plasma Physics. 54(4-6). 543–548. 6 indexed citations
16.
Serre, É., et al.. (2011). Boundary conditions at the limiter surface obtained in the modelling of plasma wall interaction with a penalization technique. Journal of Nuclear Materials. 415(1). S579–S583. 2 indexed citations
17.
Bufferand, H., Giuseppe Ciraolo, F. Schwander, et al.. (2011). 2D modelling of electron and ion temperature in the plasma edge and SOL. Journal of Nuclear Materials. 415(1). S574–S578. 3 indexed citations
18.
Bufferand, H., Giuseppe Ciraolo, Guillaume Chiavassa, et al.. (2010). Applications of SOLEDGE-2D code to complex SOL configurations and analysis of Mach probe measurements. Journal of Nuclear Materials. 415(1). S589–S592. 16 indexed citations
19.
Schwander, F., et al.. (2009). Evolution of the acceleration field and a reformulation of the sweeping decorrelation hypothesis in two-dimensional turbulence. Physical Review E. 79(1). 15301–15301. 2 indexed citations
20.
Thyagaraja, A., F. Schwander, & K. G. McClements. (2007). Rotation driven by fast ions in tokamaks. Physics of Plasmas. 14(11). 10 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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