F. Nespoli

2.0k total citations
40 papers, 497 citations indexed

About

F. Nespoli is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, F. Nespoli has authored 40 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Nuclear and High Energy Physics, 24 papers in Materials Chemistry and 13 papers in Astronomy and Astrophysics. Recurrent topics in F. Nespoli's work include Magnetic confinement fusion research (32 papers), Fusion materials and technologies (23 papers) and Ionosphere and magnetosphere dynamics (10 papers). F. Nespoli is often cited by papers focused on Magnetic confinement fusion research (32 papers), Fusion materials and technologies (23 papers) and Ionosphere and magnetosphere dynamics (10 papers). F. Nespoli collaborates with scholars based in United States, Switzerland and Germany. F. Nespoli's co-authors include B. Labit, H. Reimerdes, W.A.J. Vijvers, T. Lunt, U. Sheikh, C. Theiler, B.P. Duval, C.K. Tsui, G. P. Canal and J.A. Boedo and has published in prestigious journals such as Review of Scientific Instruments, Journal of Electroanalytical Chemistry and Journal of Nuclear Materials.

In The Last Decade

F. Nespoli

37 papers receiving 478 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. Nespoli United States 13 423 310 176 109 88 40 497
G. Motojima Japan 14 467 1.1× 299 1.0× 127 0.7× 92 0.8× 146 1.7× 80 556
Auna Moser United States 15 457 1.1× 285 0.9× 154 0.9× 105 1.0× 106 1.2× 35 517
D. Taylor United Kingdom 15 694 1.6× 276 0.9× 341 1.9× 218 2.0× 203 2.3× 33 774
Wan Baonian China 10 307 0.7× 108 0.3× 122 0.7× 93 0.9× 91 1.0× 76 348
M Erba France 12 448 1.1× 239 0.8× 164 0.9× 132 1.2× 90 1.0× 20 460
S. I. Lashkul Russia 13 440 1.0× 106 0.3× 320 1.8× 68 0.6× 86 1.0× 45 456
P. Belo United Kingdom 11 480 1.1× 226 0.7× 179 1.0× 145 1.3× 134 1.5× 37 493
A. Lebschy Germany 12 438 1.0× 191 0.6× 228 1.3× 110 1.0× 112 1.3× 18 457
A. Lvovskiy United States 12 378 0.9× 92 0.3× 198 1.1× 81 0.7× 87 1.0× 37 413
C. Challis United Kingdom 13 552 1.3× 297 1.0× 219 1.2× 155 1.4× 139 1.6× 45 575

Countries citing papers authored by F. Nespoli

Since Specialization
Citations

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

Fields of papers citing papers by F. Nespoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of F. Nespoli. A scholar is included among the top collaborators of F. Nespoli 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. Nespoli. F. Nespoli 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.
Magagnin, Luca, et al.. (2025). Multiphysics modelling for rechargeable zinc-air flow batteries – Part I: A physico-chemical and mathematical reassessment of the model. Journal of Electroanalytical Chemistry. 988. 119136–119136. 1 indexed citations
2.
Masuzaki, S., M. Shoji, F. Nespoli, et al.. (2024). Glow Discharge Boronization and Real-Time Boronization Using an Impurity Powder Dropper in LHD. Nuclear Materials and Energy. 42. 101843–101843. 2 indexed citations
3.
Shoji, M., G. Kawamura, R.D. Smirnov, et al.. (2024). Full-torus impurity transport simulation in boron powder injection experiments in the Large Helical Device. Nuclear Materials and Energy. 41. 101803–101803.
4.
Effenberg, F., K. Schmid, F. Nespoli, et al.. (2024). Integrated modeling of boron powder injection for real-time plasma-facing component conditioning. Nuclear Materials and Energy. 42. 101832–101832. 2 indexed citations
5.
Shoji, M., G. Kawamura, R.D. Smirnov, et al.. (2024). Self‐consistent transport simulation of boron dust particle injection in the peripheral plasma in Large Helical Device. Contributions to Plasma Physics. 64(7-8).
6.
Snipes, J., L. R. Baylor, A. Bortolon, et al.. (2024). Initial design concepts for solid boron injection in ITER. Nuclear Materials and Energy. 41. 101809–101809. 4 indexed citations
7.
Nespoli, F., et al.. (2023). Global gyrokinetic simulations of electrostatic microturbulent transport in LHD stellarator with boron impurity. Nuclear Fusion. 64(1). 16007–16007. 8 indexed citations
8.
Kawate, Tomoko, N. Ashikawa, M. Goto, et al.. (2022). Experimental study on boron distribution and transport at plasma-facing components during impurity powder dropping in the Large Helical Device. Nuclear Fusion. 62(12). 126052–126052. 9 indexed citations
9.
Lunsford, R., S. Masuzaki, F. Nespoli, et al.. (2022). Real-time wall conditioning and recycling modification utilizing boron and boron nitride powder injections into the Large Helical Device. Nuclear Fusion. 62(8). 86021–86021. 15 indexed citations
10.
Nespoli, F., et al.. (2021). Hyperdiffusion of dust particles in a turbulent tokamak plasma. Physics of Plasmas. 28(7). 5 indexed citations
11.
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
12.
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
13.
Nespoli, F., N. Ashikawa, E.P. Gilson, et al.. (2020). First impurity powder injection experiments in LHD. Nuclear Materials and Energy. 25. 100842–100842. 24 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.
Nespoli, F., B. Labit, I. Furno, et al.. (2018). Impurity seeding for suppression of the near scrape-off layer heat flux feature in tokamak limited plasmas. Physics of Plasmas. 25(5). 4 indexed citations
16.
Nespoli, F., H. Bufferand, M. Valentinuzzi, et al.. (2018). Application of a two-fluid two-point model to SolEdge2D-EIRENE simulations of TCV H-mode plasma. Nuclear Materials and Energy. 18. 29–34. 1 indexed citations
17.
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
18.
Nespoli, F., I. Furno, Federico David Halpern, et al.. (2016). Non-linear simulations of the TCV Scrape-Off Layer. Nuclear Materials and Energy. 12. 1205–1208. 8 indexed citations
19.
Maurizio, R., B.P. Duval, S. Elmore, et al.. (2016). Infrared measurements of the heat flux spreading under variable divertor geometries in TCV. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
20.
Canal, G. P., T. Lunt, Y. Feng, et al.. (2013). Comparison Between Experiments and EMC3-Eirene Simulations of the Snowflake Divertor in TCV. Max Planck Institute for Plasma Physics. 2013. 2 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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