P. Belo

2.2k total citations
37 papers, 493 citations indexed

About

P. Belo is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, P. Belo has authored 37 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Nuclear and High Energy Physics, 25 papers in Materials Chemistry and 13 papers in Biomedical Engineering. Recurrent topics in P. Belo's work include Magnetic confinement fusion research (35 papers), Fusion materials and technologies (25 papers) and Superconducting Materials and Applications (13 papers). P. Belo is often cited by papers focused on Magnetic confinement fusion research (35 papers), Fusion materials and technologies (25 papers) and Superconducting Materials and Applications (13 papers). P. Belo collaborates with scholars based in United Kingdom, Germany and France. P. Belo's co-authors include M. F. F. Nave, R. J. Buttery, G. Corrigan, B. Alper, J. Rapp, O. Sauter, P. Lamalle, M.-L. Mayoral, F. Milani and E. Westerhof and has published in prestigious journals such as Physical Review Letters, Journal of Nuclear Materials and Physics of Plasmas.

In The Last Decade

P. Belo

34 papers receiving 467 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. Belo United Kingdom 11 480 226 179 145 134 37 493
A. Yu. Dnestrovskij Russia 13 481 1.0× 284 1.3× 148 0.8× 125 0.9× 141 1.1× 62 518
C. Challis United Kingdom 13 552 1.1× 297 1.3× 219 1.2× 155 1.1× 139 1.0× 45 575
P. Lomas United Kingdom 13 481 1.0× 273 1.2× 152 0.8× 169 1.2× 100 0.7× 42 523
F. Koechl United Kingdom 13 517 1.1× 329 1.5× 140 0.8× 161 1.1× 158 1.2× 51 548
M. Schneider France 14 553 1.2× 204 0.9× 242 1.4× 200 1.4× 202 1.5× 25 576
H. Urano Japan 13 459 1.0× 251 1.1× 179 1.0× 171 1.2× 110 0.8× 24 474
Travis Gray United States 4 461 1.0× 358 1.6× 98 0.5× 163 1.1× 115 0.9× 6 490
A. Wakasa Japan 11 519 1.1× 194 0.9× 279 1.6× 111 0.8× 110 0.8× 33 537
D.G. Muir United Kingdom 10 460 1.0× 232 1.0× 175 1.0× 126 0.9× 104 0.8× 19 479
L. Guimarãis Germany 13 483 1.0× 183 0.8× 249 1.4× 136 0.9× 158 1.2× 34 519

Countries citing papers authored by P. Belo

Since Specialization
Citations

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

Fields of papers citing papers by P. Belo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Belo

This figure shows the co-authorship network connecting the top 25 collaborators of P. Belo. A scholar is included among the top collaborators of P. Belo 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. Belo. P. Belo 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.
Koechl, F., R. Ambrosino, P. Belo, et al.. (2020). Evaluation of fuelling requirements for core density and divertor heat load control in non-stationary phases of the ITER DT 15 MA baseline scenario. Nuclear Fusion. 60(6). 66015–66015. 16 indexed citations
2.
Koechl, F., A. Loarte, V. Parail, et al.. (2017). Modelling of transitions between L- and H-mode in JET high plasma current plasmas and application to ITER scenarios including tungsten behaviour. Nuclear Fusion. 57(8). 86023–86023. 19 indexed citations
3.
Jaervinen, A.E., S. Brezinsek, C. Giroud, et al.. (2016). Impact of divertor geometry on radiative divertor performance in JET H-mode plasmas. Plasma Physics and Controlled Fusion. 58(4). 45011–45011. 23 indexed citations
4.
Belo, P., F. Romanelli, F. I. Parra, et al.. (2015). Coupled core/SOL modelling of fuelling requirements during the current ramp-up of ITER L-mode plasmas. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1 indexed citations
5.
Koskela, T., F. Romanelli, P. Belo, et al.. (2015). Effect of tungsten off-axis accumulation on neutral beam deposition in JET rotating plasmas. Plasma Physics and Controlled Fusion. 57(4). 45001–45001. 7 indexed citations
6.
Zagórski, R., I. Voitsekhovitch, I. Ivanova‐Stanik, et al.. (2015). Integrated core–SOL–divertor modelling for ITER including impurity: effect of tungsten on fusion performance in H-mode and hybrid scenario. Nuclear Fusion. 55(5). 53032–53032. 6 indexed citations
7.
Järvinen, A., M. Groth, D. Moulton, et al.. (2013). Simulations of tungsten transport in the edge of JET ELMy H-mode plasmas. Journal of Nuclear Materials. 438. S1005–S1009. 12 indexed citations
8.
Mantica, P., C. Angioni, M. Valisa, et al.. (2013). Transport analysis of tungsten and beryllium in JET hybrid plasmas with the ITER-like wall. ASEP. 2 indexed citations
9.
Garzotti, L., C. Bourdelle, J. Citrin, et al.. (2012). Simulations of density profiles in JET hybrid discharges. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations
10.
Garzotti, L., P. Belo, G. Corrigan, et al.. (2011). Simulations of density profiles, pellet fuelling and density control in ITER. Nuclear Fusion. 52(1). 13002–13002. 28 indexed citations
11.
Maggi, C. F., Y. Andrew, N. C. Hawkes, et al.. (2011). L-H threshold at low density and low momentum input in the JET tokamak. Max Planck Institute for Plasma Physics. 2 indexed citations
12.
Goniche, M., A. Ekedahl, J. Mailloux, et al.. (2009). SOL characterization and LH coupling measurements on JET in ITER-relevant conditions. Plasma Physics and Controlled Fusion. 51(4). 44002–44002. 9 indexed citations
13.
Valisa, M., C. Angioni, L. Carraro, et al.. (2009). Radio-frequency power injection and impurity profile control in JET. Max Planck Institute for Plasma Physics. 1 indexed citations
14.
Belo, P., W. Fundamenski, V. Parail, et al.. (2008). Numerical simulation of hydrogenic and impurity flows in the boundary plasma on JET. Plasma Physics and Controlled Fusion. 50(8). 85003–85003. 2 indexed citations
15.
Santala, M., M. Mantsinen, L. Bertalot, et al.. (2006). Proton–triton nuclear reaction in ICRF heated plasmas in JET. Plasma Physics and Controlled Fusion. 48(8). 1233–1253. 3 indexed citations
16.
Buratti, P., B. Alper, A. Bécoulet, et al.. (2005). MHD Studies in JET Hybrid Plasmas with Electron Heating.
17.
Voitsekhovitch, I., X. Garbet, D. C. McDonald, et al.. (2005). Density dependence of trace tritium transport in H-mode Joint European Torus plasma. Physics of Plasmas. 12(5). 9 indexed citations
18.
Belo, P., V. Parail, G. Corrigan, et al.. (2004). Impurity penetration through the edge transport barrier. Plasma Physics and Controlled Fusion. 46(8). 1299–1311. 12 indexed citations
19.
Sauter, O., E. Westerhof, M.-L. Mayoral, et al.. (2002). Control of Neoclassical Tearing Modes by Sawtooth Control. Physical Review Letters. 88(10). 105001–105001. 197 indexed citations
20.
Cabral, J. A. C., C. A. F. Varandas, P. Belo, et al.. (1998). Enhancement of the ISTTOK plasma confinement and stability by negative limiter biasing. Plasma Physics and Controlled Fusion. 40(6). 1001–1019. 25 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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