J. Varje

2.0k total citations
40 papers, 298 citations indexed

About

J. Varje is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, J. Varje has authored 40 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nuclear and High Energy Physics, 18 papers in Aerospace Engineering and 15 papers in Materials Chemistry. Recurrent topics in J. Varje's work include Magnetic confinement fusion research (37 papers), Fusion materials and technologies (15 papers) and Ionosphere and magnetosphere dynamics (12 papers). J. Varje is often cited by papers focused on Magnetic confinement fusion research (37 papers), Fusion materials and technologies (15 papers) and Ionosphere and magnetosphere dynamics (12 papers). J. Varje collaborates with scholars based in Finland, United Kingdom and Germany. J. Varje's co-authors include T. Kurki-Suonio, H. Weisen, P. Sirén, S. Äkäslompolo, A. Snicker, K. Särkimäki, Eero Hirvijoki, O. Asunta, S. Sipilä and G. Saibene and has published in prestigious journals such as Computer Physics Communications, Review of Scientific Instruments and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

J. Varje

38 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Varje Finland 10 259 162 103 95 55 40 298
G. Harrer Germany 10 260 1.0× 75 0.5× 101 1.0× 121 1.3× 60 1.1× 22 294
F. Sciortino United States 11 262 1.0× 74 0.5× 136 1.3× 127 1.3× 50 0.9× 24 292
N. V. Sakharov Russia 12 317 1.2× 70 0.4× 178 1.7× 111 1.2× 74 1.3× 66 354
J.-M. Travère France 8 239 0.9× 71 0.4× 98 1.0× 112 1.2× 44 0.8× 15 274
Y. Yang China 11 279 1.1× 71 0.4× 130 1.3× 86 0.9× 72 1.3× 23 311
Yu. V. Petrov Russia 10 238 0.9× 58 0.4× 118 1.1× 85 0.9× 62 1.1× 63 265
Q. Ren China 12 332 1.3× 144 0.9× 158 1.5× 85 0.9× 104 1.9× 31 352
J. Miettunen Finland 9 265 1.0× 83 0.5× 80 0.8× 177 1.9× 42 0.8× 19 305
S. Allan United Kingdom 9 236 0.9× 64 0.4× 92 0.9× 122 1.3× 45 0.8× 23 270
A. V. Zvonkov Russia 8 192 0.7× 101 0.6× 77 0.7× 51 0.5× 60 1.1× 20 223

Countries citing papers authored by J. Varje

Since Specialization
Citations

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

Fields of papers citing papers by J. Varje

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Varje

This figure shows the co-authorship network connecting the top 25 collaborators of J. Varje. A scholar is included among the top collaborators of J. Varje 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 J. Varje. J. Varje 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.
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
2.
Iliasova, M., S. R. Mirfayzi, M. Fontana, et al.. (2024). Characterization of diamond and organic scintillation detectors utilizing radiation sources for continuous plasma operation. Review of Scientific Instruments. 95(8). 2 indexed citations
3.
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
4.
Allan, S., J. Harrison, Alan Jackson, et al.. (2023). Validating the simulation of beam-ion charge exchange in MAST Upgrade. Plasma Physics and Controlled Fusion. 66(2). 25009–25009. 6 indexed citations
5.
Lomanowski, B., et al.. (2023). Characterisation of ion temperature and toroidal rotation on the ST40 tokamak. Journal of Instrumentation. 18(3). C03019–C03019. 5 indexed citations
6.
Varje, J., et al.. (2022). Interplay between beam-driven chirping modes and plasma confinement transitions in spherical tokamak ST40. Nuclear Fusion. 63(1). 16024–16024. 5 indexed citations
7.
Liu, Yueqiang, M. Siccinio, E. Fable, et al.. (2021). A comparative study of internal kink stability in EU DEMO designs with negative and positive triangularity. Plasma Physics and Controlled Fusion. 63(6). 65007–65007. 5 indexed citations
8.
Pokol, G., Ö. Asztalos, C. Hill, et al.. (2021). Neutral Beam Penetration and Photoemission Benchmark.
9.
Vincenzi, P., P. Agostinetti, J.F. Artaud, et al.. (2021). Optimization-oriented modelling of neutral beam injection for EU pulsed DEMO. Plasma Physics and Controlled Fusion. 63(6). 65014–65014. 10 indexed citations
10.
Scott, S. D., G. Krämer, Elizabeth A. Tolman, et al.. (2020). Fast-ion physics in SPARC. Journal of Plasma Physics. 86(5). 15 indexed citations
11.
Huynh, P., E. Lerche, D. Van Eester, et al.. (2020). Modeling ICRH and ICRH-NBI synergy in high power JET scenarios using European transport simulator (ETS). AIP conference proceedings. 2254. 60003–60003. 4 indexed citations
12.
Weisen, H., E. Delabie, J. Flanagan, et al.. (2019). Analysis of the inter-species power balance in JET plasmas. Nuclear Fusion. 60(3). 36004–36004. 11 indexed citations
13.
Varje, J., T. Kurki-Suonio, A. Snicker, et al.. (2019). Sensitivity of fast ion losses to magnetic perturbations in the European DEMO. Fusion Engineering and Design. 146. 1615–1619. 5 indexed citations
14.
Sirén, P., E. Tholerus, Y. Baranov, et al.. (2019). Comprehensive benchmark studies of ASCOT and TRANSP-NUBEAM fast particle simulations. 3 indexed citations
15.
Vincenzi, P., J. Varje, P. Agostinetti, et al.. (2018). Estimate of 3D power wall loads due to Neutral Beam Injection in EU DEMO ramp-up phase. Nuclear Materials and Energy. 18. 188–192. 2 indexed citations
16.
Varje, J., P. Agostinetti, T. Kurki-Suonio, et al.. (2017). Effect of 3D magnetic perturbations on fast ion confinement in the European DEMO. Max Planck Digital Library. 1 indexed citations
17.
Sonato, P., P. Agostinetti, T. Bolzonella, et al.. (2017). Conceptual design of the DEMO neutral beam injectors: main developments and R&D achievements. Nuclear Fusion. 57(5). 56026–56026. 43 indexed citations
18.
Kurki-Suonio, T., K. Särkimäki, S. Äkäslompolo, et al.. (2016). Protecting ITER walls: fast ion power loads in 3D magnetic field. Plasma Physics and Controlled Fusion. 59(1). 14013–14013. 19 indexed citations
19.
Liu, Yueqiang, S. Äkäslompolo, M. Cavinato, et al.. (2016). Modelling of 3D fields due to ferritic inserts and test blanket modules in toroidal geometry at ITER. Nuclear Fusion. 56(6). 66001–66001. 6 indexed citations
20.
Kurki-Suonio, T., S. Äkäslompolo, K. Särkimäki, et al.. (2016). Effect of the European design of TBMs on ITER wall loads due to fast ions in the baseline (15 MA), hybrid (12.5 MA), steady-state (9 MA) and half-field (7.5 MA) scenarios. Nuclear Fusion. 56(11). 112024–112024. 8 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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