P. Strand

2.6k total citations
78 papers, 988 citations indexed

About

P. Strand is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Materials Chemistry. According to data from OpenAlex, P. Strand has authored 78 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Nuclear and High Energy Physics, 28 papers in Astronomy and Astrophysics and 27 papers in Materials Chemistry. Recurrent topics in P. Strand's work include Magnetic confinement fusion research (62 papers), Ionosphere and magnetosphere dynamics (28 papers) and Fusion materials and technologies (25 papers). P. Strand is often cited by papers focused on Magnetic confinement fusion research (62 papers), Ionosphere and magnetosphere dynamics (28 papers) and Fusion materials and technologies (25 papers). P. Strand collaborates with scholars based in Sweden, United Kingdom and France. P. Strand's co-authors include H. Nordman, J. Weiland, W. A. Houlberg, V. Parail, F. Imbeaux, L. Garzotti, T. Tala, X. Garbet, G. Corrigan and J. Christiansen and has published in prestigious journals such as Computer Physics Communications, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Physics of Plasmas.

In The Last Decade

P. Strand

73 papers receiving 917 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. Strand Sweden 17 866 447 352 274 242 78 988
D. P. Schissel United States 17 904 1.0× 435 1.0× 275 0.8× 281 1.0× 227 0.9× 83 1.1k
R.M. Churchill United States 19 697 0.8× 261 0.6× 393 1.1× 168 0.6× 149 0.6× 52 764
G. Kühner Germany 14 836 1.0× 255 0.6× 368 1.0× 184 0.7× 250 1.0× 78 959
J.B. Lister Switzerland 16 561 0.6× 219 0.5× 160 0.5× 202 0.7× 185 0.8× 46 626
J.B. Lister Switzerland 17 741 0.9× 183 0.4× 426 1.2× 205 0.7× 169 0.7× 50 832
M. Johnson United Kingdom 10 571 0.7× 207 0.5× 202 0.6× 134 0.5× 166 0.7× 18 706
J.M. Park United States 15 573 0.7× 250 0.6× 176 0.5× 209 0.8× 217 0.9× 30 635
P.C. de Vries Germany 15 676 0.8× 276 0.6× 250 0.7× 168 0.6× 169 0.7× 22 795
T. A. Gianakon United States 12 769 0.9× 120 0.3× 564 1.6× 137 0.5× 118 0.5× 18 864
B.G. Penaflor United States 15 823 1.0× 284 0.6× 186 0.5× 404 1.5× 342 1.4× 65 868

Countries citing papers authored by P. Strand

Since Specialization
Citations

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

Fields of papers citing papers by P. Strand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of P. Strand. A scholar is included among the top collaborators of P. Strand 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. Strand. P. Strand 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.
Strand, P., et al.. (2025). Investigating pedestal dependencies at JET using an interpretable neural network architecture. Nuclear Fusion. 65(5). 56033–56033.
2.
3.
Wiesen, S., A.E. Jaervinen, A. Ho, et al.. (2024). Data-driven models in fusion exhaust: AI methods and perspectives. Nuclear Fusion. 64(8). 86046–86046. 8 indexed citations
4.
Ferreira, Diogo R., et al.. (2023). High temporal resolution of pedestal dynamics via machine learning on density diagnostics. Plasma Physics and Controlled Fusion. 66(2). 25001–25001. 2 indexed citations
5.
Fransson, E., et al.. (2023). A fast neural network surrogate model for the eigenvalues of QuaLiKiz. Physics of Plasmas. 30(12). 1 indexed citations
6.
Fransson, E., et al.. (2022). Upgrade and benchmark of quasi-linear transport model EDWM. Physics of Plasmas. 29(11). 3 indexed citations
7.
Huynh, P., E. Lerche, D. Van Eester, et al.. (2021). European transport simulator modeling of JET-ILW baseline plasmas: predictive code validation and DTE2 predictions. Nuclear Fusion. 61(9). 96019–96019. 7 indexed citations
8.
Romanelli, M., R. Coelho, D. Coster, et al.. (2020). Code Integration, Data Verification, and Models Validation Using the ITER Integrated Modeling and Analysis System (IMAS) in EUROfusion. Fusion Science & Technology. 76(8). 894–900. 10 indexed citations
9.
Eriksson, F., et al.. (2019). Impact of fast ions on density peaking in JET: fluid and gyrokinetic modeling. Plasma Physics and Controlled Fusion. 61(7). 75008–75008. 3 indexed citations
10.
Militello-Asp, E., F. J. Casson, D. Farina, et al.. (2018). JINTRAC Coupled Core/SOL/Divertor Transport Simulations in Support of ITER. Bulletin of the American Physical Society. 2018. 1 indexed citations
11.
Hoenen, O., L. Fazendeiro, B. Scott, et al.. (2013). Designing and running turbulence transport simulations using a distributed multiscale computing approach. Chalmers Publication Library (Chalmers University of Technology). 2. 1094–1097. 10 indexed citations
12.
Coster, D., B. Guillerminet, F. Imbeaux, et al.. (2012). Easy use of high performance computers for fusion simulations. Fusion Engineering and Design. 87(12). 2057–2062. 4 indexed citations
13.
Guillerminet, B., Isabel Campos, Matthieu Haefelé, et al.. (2010). High Performance Computing tools for the Integrated Tokamak Modelling project. Fusion Engineering and Design. 85(3-4). 388–393. 10 indexed citations
14.
Imbeaux, F., J.B. Lister, G. Huysmans, et al.. (2010). A generic data structure for integrated modelling of tokamak physics and subsystems. Computer Physics Communications. 181(6). 987–998. 40 indexed citations
15.
Eriksson, Axel M., H. Nordman, P. Strand, et al.. (2007). Predictive simulations of toroidal momentum transport at JET. Plasma Physics and Controlled Fusion. 49(11). 1931–1943. 10 indexed citations
16.
Carlsson, Johan, et al.. (2006). Framework for Modernization and Componentization of Fusion Modules. Bulletin of the American Physical Society. 48.
17.
Nordman, H., P. Strand, Axel M. Eriksson, & J. Weiland. (2005). Anomalous particle transport in D–T plasmas. Plasma Physics and Controlled Fusion. 47(6). L11–L16. 4 indexed citations
18.
Strand, P., H. Nordman, J. Weiland, et al.. (2003). Comparisons of anomalous and neoclassical contributions to core particle transport in tokamak discharges. APS. 45. 3 indexed citations
19.
Strand, P., H. Nordman, J. Weiland, & J. Christiansen. (1999). Predictive simulations of JET ELMy H-mode beta and collisionality scaling experiments. Plasma Physics and Controlled Fusion. 41(12). 1441–1452. 1 indexed citations
20.
Strand, P., H. Nordman, J. Weiland, & J. Christiansen. (1998). Predictive transport simulations of JET L and H mode gyro-radius scaling experiments. Nuclear Fusion. 38(4). 545–556. 27 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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