P.F. Buxton

775 total citations
27 papers, 268 citations indexed

About

P.F. Buxton is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, P.F. Buxton has authored 27 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nuclear and High Energy Physics, 15 papers in Biomedical Engineering and 14 papers in Materials Chemistry. Recurrent topics in P.F. Buxton's work include Magnetic confinement fusion research (26 papers), Superconducting Materials and Applications (15 papers) and Fusion materials and technologies (14 papers). P.F. Buxton is often cited by papers focused on Magnetic confinement fusion research (26 papers), Superconducting Materials and Applications (15 papers) and Fusion materials and technologies (14 papers). P.F. Buxton collaborates with scholars based in United Kingdom, United States and Spain. P.F. Buxton's co-authors include A. E. Costley, J. Hugill, J.G. Morgan, C. G. Windsor, M. Gryaznevich, G.D.W. Smith, A. Sykes, M. Gryaznevich, J. W. Connor and A. Mancini and has published in prestigious journals such as Scientific Reports, Review of Scientific Instruments and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

P.F. Buxton

26 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.F. Buxton United Kingdom 9 191 143 111 99 37 27 268
C. Portafaix France 11 224 1.2× 108 0.8× 149 1.3× 161 1.6× 14 0.4× 29 304
Eunnam Bang South Korea 9 98 0.5× 122 0.9× 75 0.7× 68 0.7× 32 0.9× 40 213
R. Roccella France 9 152 0.8× 130 0.9× 114 1.0× 74 0.7× 22 0.6× 18 233
F. Lucca Italy 12 186 1.0× 167 1.2× 159 1.4× 106 1.1× 27 0.7× 47 298
P. Garin France 9 142 0.7× 173 1.2× 63 0.6× 109 1.1× 55 1.5× 18 303
P. Ladd Germany 7 146 0.8× 160 1.1× 83 0.7× 81 0.8× 12 0.3× 36 248
K. Shinya Japan 12 310 1.6× 283 2.0× 122 1.1× 110 1.1× 19 0.5× 27 375
C. Morlock Germany 4 227 1.2× 238 1.7× 78 0.7× 137 1.4× 22 0.6× 5 349
A. Panin Germany 9 172 0.9× 82 0.6× 193 1.7× 130 1.3× 17 0.5× 52 276
R. Kembleton United Kingdom 8 213 1.1× 192 1.3× 102 0.9× 123 1.2× 13 0.4× 16 290

Countries citing papers authored by P.F. Buxton

Since Specialization
Citations

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

Fields of papers citing papers by P.F. Buxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.F. Buxton

This figure shows the co-authorship network connecting the top 25 collaborators of P.F. Buxton. A scholar is included among the top collaborators of P.F. Buxton 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 P.F. Buxton. P.F. Buxton 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.
Poli, F. M., et al.. (2025). Core-edge integrated predictive studies of ST40 and NSTX plasmas with the scrape-off layer box model. Physics of Plasmas. 32(3). 1 indexed citations
2.
Minucci, S., G. Sias, R. Lombroni, et al.. (2024). ST40 electromagnetic predictive studies supported by machine learning applied to experimental database. Scientific Reports. 14(1). 27074–27074.
3.
Buxton, P.F., et al.. (2024). Soft x-ray tomography on the high field spherical tokamak ST40. Review of Scientific Instruments. 95(10). 2 indexed citations
4.
Sertoli, M., P.F. Buxton, A. Yu. Dnestrovskij, et al.. (2024). From minimum-viable-products to full models: a step-wise development of diagnostic forward models in support of design, analysis and modelling on the ST40 tokamak. Plasma Physics and Controlled Fusion. 66(9). 95011–95011. 3 indexed citations
5.
Robinson, Martin P., Salomon Janhunen, A. Scarabosio, et al.. (2024). Experimental observations of bifurcated power decay lengths in the near Scrape-Off Layer of ST40 High Field Spherical Tokamak. Nuclear Materials and Energy. 41. 101772–101772. 6 indexed citations
6.
Andrew, Y., P.F. Buxton, M. Gryaznevich, et al.. (2023). H-mode dithering phase studies on ST40. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 381(2242). 20210225–20210225. 3 indexed citations
7.
Kaye, S., et al.. (2023). Isotope dependence of transport in ST40 hot ion mode plasmas. Plasma Physics and Controlled Fusion. 65(9). 95012–95012. 3 indexed citations
8.
Duarte, V. N., Н. Н. Гореленков, S. Kaye, et al.. (2023). Perturbative analysis of low-frequency instabilities in high-field ST40 experiments. Nuclear Fusion. 63(3). 36018–36018. 3 indexed citations
9.
Lombroni, R., Pierluigi Fanelli, F. Giorgetti, et al.. (2023). Structural behaviour characterization of ST40 Inner Vacuum Chamber (IVC2) during a plasma VDE using ANSYS Workbench. Fusion Engineering and Design. 192. 113772–113772. 3 indexed citations
10.
Mancini, A., J. Ayllon-Guerola, D. J. Cruz-Zabala, et al.. (2022). Electromagnetic VDE and Disruption Analysis in the SMART Tokamak. IEEE Transactions on Plasma Science. 50(11). 4187–4192. 2 indexed citations
11.
Mancini, A., J. Ayllon-Guerola, M. García-Muñoz, et al.. (2021). Magnetic equilibrium design for the SMART tokamak. Fusion Engineering and Design. 171. 112706–112706. 16 indexed citations
12.
Mancini, A., M. García-Muñoz, J. Ayllon-Guerola, et al.. (2021). Coils and power supplies design for the SMART tokamak. Fusion Engineering and Design. 168. 112683–112683. 18 indexed citations
13.
Romanelli, M., P.F. Buxton, M. Sertoli, et al.. (2021). Integrated Modelling of Plasmas in the ST40 High-Field Spherical Tokamak. Bulletin of the American Physical Society. 1 indexed citations
14.
Mancini, A., J. Ayllon-Guerola, E. Viezzer, et al.. (2021). Mechanical and electromagnetic design of the vacuum vessel of the SMART tokamak. Fusion Engineering and Design. 171. 112542–112542. 17 indexed citations
15.
Buxton, P.F., et al.. (2018). On the design and role of passive stabilisation within the ST40 spherical tokamak. Plasma Physics and Controlled Fusion. 60(6). 64008–64008. 5 indexed citations
16.
Buxton, P.F., et al.. (2018). On the energy confinement time in spherical tokamaks: implications for the design of pilot plants and fusion reactors. Plasma Physics and Controlled Fusion. 61(3). 35006–35006. 22 indexed citations
17.
Buxton, P.F. & M. Gryaznevich. (2017). Merging compression start-up predictions for ST40. Fusion Engineering and Design. 123. 551–554. 9 indexed citations
18.
Costley, A. E., J. Hugill, & P.F. Buxton. (2015). On the power and size of tokamak fusion pilot plants and reactors. Nuclear Fusion. 55(3). 33001–33001. 64 indexed citations
19.
Gryaznevich, M., A. Nicolai, & P.F. Buxton. (2014). Fast particles in a steady-state compact FNS and compact ST reactor. Nuclear Fusion. 54(10). 104005–104005. 5 indexed citations
20.
Sykes, A., M. Gryaznevich, David R. Kingham, et al.. (2013). The spherical Tokamak path to fusion power — Revisited. 43. 1–6. 3 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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