A. Järvinen

1.1k total citations
32 papers, 288 citations indexed

About

A. Järvinen is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, A. Järvinen has authored 32 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Nuclear and High Energy Physics, 26 papers in Materials Chemistry and 8 papers in Aerospace Engineering. Recurrent topics in A. Järvinen's work include Magnetic confinement fusion research (29 papers), Fusion materials and technologies (26 papers) and Superconducting Materials and Applications (7 papers). A. Järvinen is often cited by papers focused on Magnetic confinement fusion research (29 papers), Fusion materials and technologies (26 papers) and Superconducting Materials and Applications (7 papers). A. Järvinen collaborates with scholars based in Finland, Germany and United Kingdom. A. Järvinen's co-authors include S. Wiesen, M. Groth, S. Brezinsek, L. Frassinetti, C. Giroud, A.W. Leonard, L. Aho-Mantila, A.G. McLean, G. Corrigan and Huan Guo and has published in prestigious journals such as Journal of Nuclear Materials, Physics of Plasmas and Nuclear Fusion.

In The Last Decade

A. Järvinen

30 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Järvinen Finland 13 263 206 80 61 54 32 288
O. Kudláček Germany 9 252 1.0× 139 0.7× 86 1.1× 92 1.5× 61 1.1× 40 272
G. Harrer Germany 10 260 1.0× 121 0.6× 60 0.8× 75 1.2× 101 1.9× 22 294
the EUROfusion MST Team Germany 11 314 1.2× 167 0.8× 80 1.0× 95 1.6× 98 1.8× 28 343
D. Kalupin Germany 11 261 1.0× 151 0.7× 71 0.9× 80 1.3× 97 1.8× 39 305
T. Ravensbergen France 8 183 0.7× 120 0.6× 52 0.7× 52 0.9× 26 0.5× 19 219
D. Moulton United Kingdom 10 234 0.9× 189 0.9× 58 0.7× 64 1.0× 41 0.8× 18 262
T. Luda Germany 9 273 1.0× 138 0.7× 81 1.0× 84 1.4× 95 1.8× 21 299
O. Myatra United Kingdom 9 184 0.7× 136 0.7× 50 0.6× 44 0.7× 39 0.7× 12 202
J.-W. Juhn South Korea 8 206 0.8× 88 0.4× 52 0.7× 46 0.8× 89 1.6× 33 228
T. Markovič Czechia 8 192 0.7× 70 0.3× 77 1.0× 54 0.9× 86 1.6× 21 209

Countries citing papers authored by A. Järvinen

Since Specialization
Citations

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

Fields of papers citing papers by A. Järvinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Järvinen

This figure shows the co-authorship network connecting the top 25 collaborators of A. Järvinen. A scholar is included among the top collaborators of A. Järvinen 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 A. Järvinen. A. Järvinen 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.
2.
Järvinen, A., et al.. (2024). On learning latent dynamics of the AUG plasma state. Physics of Plasmas. 31(3). 3 indexed citations
3.
Järvinen, A., et al.. (2024). Representation learning algorithms for inferring machine independent latent features in pedestals in JET and AUG. Physics of Plasmas. 31(3). 2 indexed citations
4.
Komm, M., M. Faitsch, S. Henderson, et al.. (2023). Mitigation of divertor edge localised mode power loading by impurity seeding. Nuclear Fusion. 63(12). 126018–126018. 1 indexed citations
5.
Henderson, S., D. Brida, M. Cavedon, et al.. (2023). Divertor detachment and reattachment with mixed impurity seeding on ASDEX Upgrade. Nuclear Fusion. 63(8). 86024–86024. 14 indexed citations
6.
Järvinen, A., et al.. (2023). Supervised learning approaches to modeling pedestal density. Plasma Physics and Controlled Fusion. 65(4). 45003–45003. 6 indexed citations
7.
Järvinen, A., et al.. (2022). Bayesian approach for validation of runaway electron simulations. Journal of Plasma Physics. 88(6). 3 indexed citations
8.
Zhao, Menglong, T.D. Rognlien, A. Järvinen, I. Joseph, & M. Umansky. (2022). Ion temperature anisotropy model with cross‐field drifts in the scrape‐off layer. Contributions to Plasma Physics. 62(5-6). 2 indexed citations
9.
Järvinen, A., et al.. (2022). Developing deep learning algorithms for inferring upstream separatrix density at JET. Nuclear Materials and Energy. 34. 101347–101347. 5 indexed citations
10.
Zhao, Menglong, T.D. Rognlien, A. Järvinen, & I. Joseph. (2021). Ion temperature anisotropy in the tokamak scrape-off layer. Plasma Physics and Controlled Fusion. 63(12). 125028–125028. 1 indexed citations
11.
Wang, Huiqian, J.G. Watkins, Huan Guo, et al.. (2021). Effects of divertor electrical drifts on particle distribution and detachment near the divertor target plate in DIII-D. Physics of Plasmas. 28(5). 22 indexed citations
12.
Wilks, T. M., P.B. Snyder, M. Knölker, et al.. (2020). Impact of Divertor Closure on Super-H mode Plasmas in DIII-D. APS Division of Plasma Physics Meeting Abstracts. 2020. 1 indexed citations
13.
Eldon, D., Egemen Kolemen, David Humphreys, et al.. (2019). Advances in radiated power control at DIII-D. Nuclear Materials and Energy. 18. 285–290. 24 indexed citations
14.
McLean, A.G., S. L. Allen, R. Ellis, et al.. (2017). Divertor extreme ultraviolet (EUV) survey spectroscopy in DIII-D. Bulletin of the American Physical Society. 2017.
15.
Salmi, Ari, T. Tala, P. Mantica, et al.. (2015). Particle source and edge transport studies in JET H-mode gas puff modulation experiments. Max Planck Digital Library. 5 indexed citations
16.
Saarelma, S., A. Järvinen, M. Beurskens, et al.. (2015). The effects of impurities and core pressure on pedestal stability in Joint European Torus (JET)a). Physics of Plasmas. 22(5). 56115–56115. 27 indexed citations
17.
Harting, D., S. Wiesen, M. Groth, et al.. (2014). Intra-ELM phase modelling of a JET ITER-like wall H-mode discharge with EDGE2D-EIRENE. Journal of Nuclear Materials. 463. 493–497. 14 indexed citations
18.
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
19.
Järvinen, A., C. Giroud, M. Groth, et al.. (2011). DIVIMP simulation of W transport in the SOL of JET H-mode plasmas. Physica Scripta. T145. 14013–14013. 14 indexed citations
20.
Heal, O. W., Terry V. Callaghan, Toke T. Høye, et al.. (2005). SCANNET: a Scandinavian-North European network of terrestrial field bases. Research at the University of Copenhagen (University of Copenhagen).

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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