M. Tsalas

2.1k total citations
47 papers, 583 citations indexed

About

M. Tsalas is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, M. Tsalas has authored 47 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Nuclear and High Energy Physics, 24 papers in Materials Chemistry and 19 papers in Biomedical Engineering. Recurrent topics in M. Tsalas's work include Magnetic confinement fusion research (43 papers), Fusion materials and technologies (24 papers) and Superconducting Materials and Applications (19 papers). M. Tsalas is often cited by papers focused on Magnetic confinement fusion research (43 papers), Fusion materials and technologies (24 papers) and Superconducting Materials and Applications (19 papers). M. Tsalas collaborates with scholars based in Germany, United Kingdom and Italy. M. Tsalas's co-authors include V. Rohde, C. Giroud, A. Herrmann, P. Mantica, R. Neu, E. Wolfrum, E. Lerche, M. Baruzzo, T. Tala and Andreas K. Schmid and has published in prestigious journals such as Physical Review Letters, Physica D Nonlinear Phenomena and Journal of Nuclear Materials.

In The Last Decade

M. Tsalas

43 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Tsalas Germany 16 525 255 234 149 112 47 583
M. Baruzzo Italy 16 543 1.0× 202 0.8× 210 0.9× 168 1.1× 173 1.5× 49 626
M. Weiland Germany 13 500 1.0× 133 0.5× 241 1.0× 117 0.8× 161 1.4× 39 600
V. Pericoli‐Ridolfini Italy 13 463 0.9× 233 0.9× 173 0.7× 158 1.1× 140 1.3× 32 530
F. Rimini United Kingdom 17 830 1.6× 382 1.5× 294 1.3× 222 1.5× 251 2.2× 89 901
D. Eldon United States 18 795 1.5× 449 1.8× 256 1.1× 204 1.4× 207 1.8× 54 843
F. Saint‐Laurent France 14 527 1.0× 228 0.9× 131 0.6× 143 1.0× 130 1.2× 30 585
J.M. Park United States 15 573 1.1× 250 1.0× 176 0.8× 209 1.4× 217 1.9× 30 635
J. Walk United States 14 492 0.9× 193 0.8× 284 1.2× 107 0.7× 112 1.0× 23 527
M. Nakata Japan 17 805 1.5× 299 1.2× 505 2.2× 125 0.8× 158 1.4× 82 943
Yong-Su Na South Korea 14 444 0.8× 137 0.5× 156 0.7× 139 0.9× 152 1.4× 89 524

Countries citing papers authored by M. Tsalas

Since Specialization
Citations

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

Fields of papers citing papers by M. Tsalas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Tsalas

This figure shows the co-authorship network connecting the top 25 collaborators of M. Tsalas. A scholar is included among the top collaborators of M. Tsalas 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 M. Tsalas. M. Tsalas 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.
Baruzzo, M., G. Artaserse, R. Henriques, et al.. (2019). Fault analysis and improved design of JET in-vessel Mirnov coils. Fusion Engineering and Design. 150. 110863–110863. 2 indexed citations
2.
Artaserse, G., M. Baruzzo, R. Henriques, et al.. (2019). Refurbishment of JET magnetic diagnostics. Fusion Engineering and Design. 146. 2781–2785. 2 indexed citations
3.
Pau, A., Alessandra Fanni, B. Cannas, et al.. (2018). A First Analysis of JET Plasma Profile-Based Indicators for Disruption Prediction and Avoidance. IEEE Transactions on Plasma Science. 46(7). 2691–2698. 33 indexed citations
4.
Esquembri, S., J. Vega, A. Murari, et al.. (2018). Real-Time Implementation in JET of the SPAD Disruption Predictor Using MARTe. IEEE Transactions on Nuclear Science. 65(2). 836–842. 14 indexed citations
5.
Pau, A., B. Cannas, G. Sias, et al.. (2017). Advances in the development of DIS_tool and first analysis on TCV disruptions. MPG.PuRe (Max Planck Society). 1 indexed citations
6.
Bonanomi, N., P. Mantica, J. Citrin, et al.. (2017). Effects of nitrogen seeding on core ion thermal transport in JET ILW L-mode plasmas. Nuclear Fusion. 58(2). 26028–26028. 20 indexed citations
7.
Pau, A., B. Cannas, Alessandra Fanni, et al.. (2017). A tool to support the construction of reliable disruption databases. Fusion Engineering and Design. 125. 139–153. 13 indexed citations
8.
Silva, C., J. C. Hillesheim, C. Hidalgo, et al.. (2016). Experimental investigation of geodesic acoustic modes on JET using Doppler backscattering. Nuclear Fusion. 56(10). 106026–106026. 21 indexed citations
9.
Bonanomi, N., P. Mantica, G. Szepesi, et al.. (2015). Trapped electron mode driven electron heat transport in JET: experimental investigation and gyro-kinetic theory validation. Nuclear Fusion. 55(11). 113016–113016. 13 indexed citations
10.
Gerasimov, S., P. Abreu, M. Baruzzo, et al.. (2015). JET and COMPASS asymmetrical disruptions. Nuclear Fusion. 55(11). 113006–113006. 37 indexed citations
11.
Tsalas, M., M. Yu. Kantor, O. Maj, et al.. (2012). Feasibility study for a new high resolution Thomson scattering system for the ASDEX Upgrade pedestal. Journal of Instrumentation. 7(3). C03015–C03015. 10 indexed citations
12.
Valisa, M., L. Carraro, I. Predebon, et al.. (2011). Metal impurity transport control in JET H-mode plasmas with central ion cyclotron radiofrequency power injection. Nuclear Fusion. 51(3). 33002–33002. 57 indexed citations
13.
Tala, T., A. Salmi, C. Angioni, et al.. (2011). Parametric dependences of momentum pinch and Prandtl number in JET. Nuclear Fusion. 51(12). 123002–123002. 28 indexed citations
14.
Lennholm, M., T. Blackman, S. C. Chapman, et al.. (2011). Feedback control of the sawtooth period through real time control of the ion cyclotron resonance frequency. Nuclear Fusion. 51(7). 73032–73032. 13 indexed citations
15.
Nave, M. F. F., T. Johnson, L.-G. Eriksson, et al.. (2010). Influence of Magnetic Field Ripple on the Intrinsic Rotation of Tokamak Plasmas. Physical Review Letters. 105(10). 105005–105005. 27 indexed citations
16.
Alper, B., A. Boboc, D. Frigione, et al.. (2010). Insight from fast data on pellet ELM pacing at JET. Max Planck Institute for Plasma Physics. 926–929. 2 indexed citations
17.
Nave, M. F. F., T. Johnson, L.-G. Eriksson, et al.. (2009). The influence of magnetic field ripple on JET Intrinsic Rotation. Ghent University Academic Bibliography (Ghent University). 805–808. 1 indexed citations
18.
Antar, G., et al.. (2008). Turbulence during H- and L-mode plasmas in the scrape-off layer of the ASDEX Upgrade tokamak. Plasma Physics and Controlled Fusion. 50(9). 95012–95012. 19 indexed citations
19.
Herrmann, A., A. Kirk, Andreas K. Schmid, et al.. (2007). The filamentary structure of ELMs in the scrape-off layer in ASDEX Upgrade. Journal of Nuclear Materials. 363-365. 528–533. 39 indexed citations
20.
Bonheure, G., M. Angelone, R. Barnsley, et al.. (2007). NEUTRON DIAGNOSTICS FOR REACTOR SCALE FUSION EXPERIMENTS. 91–91. 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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