Mathias Brix

3.4k total citations
70 papers, 995 citations indexed

About

Mathias Brix is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Mathias Brix has authored 70 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Nuclear and High Energy Physics, 33 papers in Materials Chemistry and 26 papers in Biomedical Engineering. Recurrent topics in Mathias Brix's work include Magnetic confinement fusion research (63 papers), Fusion materials and technologies (33 papers) and Superconducting Materials and Applications (25 papers). Mathias Brix is often cited by papers focused on Magnetic confinement fusion research (63 papers), Fusion materials and technologies (33 papers) and Superconducting Materials and Applications (25 papers). Mathias Brix collaborates with scholars based in United Kingdom, Germany and Finland. Mathias Brix's co-authors include C. Giroud, N. Hawkes, T. Tala, S. E. Sharapov, A. Boboc, M. Groth, P. Mantica, G. Corrigan, K.-D. Zastrow and H. W. Müller and has published in prestigious journals such as Physical Review Letters, Review of Scientific Instruments and Journal of Nuclear Materials.

In The Last Decade

Mathias Brix

66 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Brix United Kingdom 19 875 442 396 251 214 70 995
S. Putvinski United States 12 749 0.9× 348 0.8× 271 0.7× 183 0.7× 181 0.8× 47 820
X.R. Duan China 18 1.0k 1.2× 387 0.9× 464 1.2× 223 0.9× 300 1.4× 83 1.2k
M. Kempenaars United Kingdom 18 775 0.9× 386 0.9× 289 0.7× 227 0.9× 194 0.9× 51 914
P. Monier-Garbet France 19 922 1.1× 579 1.3× 313 0.8× 191 0.8× 152 0.7× 80 1.0k
M. Shoji Japan 18 931 1.1× 631 1.4× 280 0.7× 216 0.9× 179 0.8× 129 1.1k
S. Woodruff United States 15 773 0.9× 258 0.6× 415 1.0× 211 0.8× 167 0.8× 52 846
X. L. Zou France 16 784 0.9× 301 0.7× 399 1.0× 168 0.7× 219 1.0× 48 918
M. Valisa Italy 21 1.0k 1.2× 377 0.9× 464 1.2× 268 1.1× 219 1.0× 97 1.1k
P. N. Yushmanov United States 15 1.0k 1.2× 435 1.0× 454 1.1× 241 1.0× 205 1.0× 45 1.1k
ASDEX Upgrade Team Germany 18 942 1.1× 420 1.0× 395 1.0× 223 0.9× 294 1.4× 39 1.1k

Countries citing papers authored by Mathias Brix

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Brix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Brix

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Brix. A scholar is included among the top collaborators of Mathias Brix 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 Mathias Brix. Mathias Brix 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.
Rees, D., M. Groth, S. Aleiferis, et al.. (2024). Characterisation of the scrape-off layer in JET-ILW deuterium and helium low-confinement mode plasmas. Nuclear Materials and Energy. 39. 101657–101657.
2.
Lomanowski, B., Jae-Sun Park, L. Aho-Mantila, et al.. (2023). Variation in the volumetric power and momentum losses in the JET-ILW scrape-off layer. Nuclear Materials and Energy. 35. 101425–101425. 2 indexed citations
3.
Chmielewski, P., R. Zagórski, G. Telesca, et al.. (2021). TECXY simulations of Ne seeding in JET high power scenarios. Nuclear Materials and Energy. 27. 100962–100962. 1 indexed citations
4.
Pavone, A., J. Svensson, S. Kwak, Mathias Brix, & R. C. Wolf. (2020). Neural network approximated Bayesian inference of edge electron density profiles at JET. Plasma Physics and Controlled Fusion. 62(4). 45019–45019. 12 indexed citations
5.
Солоха, В. В., M. Groth, S. Brezinsek, et al.. (2020). The role of drifts on the isotope effect on divertor plasma detachment in JET Ohmic discharges. Nuclear Materials and Energy. 25. 100836–100836. 6 indexed citations
6.
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
7.
Kwak, S., et al.. (2016). Bayesian modelling of the emission spectrum of the Joint European Torus Lithium Beam Emission Spectroscopy system. Review of Scientific Instruments. 87(2). 23501–23501. 12 indexed citations
8.
Carralero, D., P. Mänz, L. Aho-Mantila, et al.. (2015). Experimental Validation of a Filament Transport Model in Turbulent Magnetized Plasmas. Physical Review Letters. 115(21). 215002–215002. 82 indexed citations
9.
Delabie, E., C. F. Maggi, T. M. Biewer, et al.. (2015). The relation between divertor conditions and the L-H threshold on JET. MPG.PuRe (Max Planck Society). 2 indexed citations
10.
Belonohy, É., P. Abreu, M. Beurskens, et al.. (2014). The effect of the accuracy of toroidal field measurements on spatial consistency of kinetic profiles at JET. Max Planck Digital Library. 2 indexed citations
11.
Ekedahl, A., V. Petržı́lka, Y. Baranov, et al.. (2012). Influence of gas puff location on the coupling of lower hybrid waves in JET ELMy H-mode plasmas. Plasma Physics and Controlled Fusion. 54(7). 74004–74004. 12 indexed citations
12.
Nedzelskiy, I. S., et al.. (2010). Characterization of the Li beam probe with a beam profile monitor on JET. Review of Scientific Instruments. 81(10). 10D734–10D734.
13.
Thun, C. Pérez von, T. Johnson, S. E. Sharapov, et al.. (2010). MeV-range fast ion losses induced by fishbones on JET. Nuclear Fusion. 50(8). 84009–84009. 24 indexed citations
14.
15.
Tala, T., K.-D. Zastrow, J. Ferreira, et al.. (2009). Evidence of Inward Toroidal Momentum Convection in the JET Tokamak. Physical Review Letters. 102(7). 75001–75001. 63 indexed citations
16.
Rapp, J., W. Fundamenski, Mathias Brix, et al.. (2009). Highly radiating type-III ELMy H-mode with low plasma core pollution. Journal of Nuclear Materials. 390-391. 238–241. 11 indexed citations
17.
Vries, P.C. de, E. Joffrin, Mathias Brix, et al.. (2009). Internal transport barrier dynamics with plasma rotation in JET. Nuclear Fusion. 49(7). 75007–75007. 32 indexed citations
18.
Krychowiak, M., Ph. Mertens, R. König, et al.. (2008). LIF measurements on an atomic helium beam in the edge of a fusion plasma. Plasma Physics and Controlled Fusion. 50(6). 65015–65015. 9 indexed citations
19.
Summers, H. P., H. Anderson, Mathias Brix, et al.. (1999). Electron and neutral interactions with impurities in divertor plasmas. Plasma Physics Reports. 25(1). 15–27. 1 indexed citations
20.
Pappas, Dimitri, B. LaBombard, B. Lipschultz, et al.. (1997). Helium Diagnostic for Alcator C-Mod Edge Studies. APS Division of Plasma Physics Meeting Abstracts. 1 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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