D. Tskhakaya

3.7k total citations
135 papers, 2.1k citations indexed

About

D. Tskhakaya is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, D. Tskhakaya has authored 135 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Nuclear and High Energy Physics, 70 papers in Electrical and Electronic Engineering and 69 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in D. Tskhakaya's work include Magnetic confinement fusion research (78 papers), Plasma Diagnostics and Applications (69 papers) and Dust and Plasma Wave Phenomena (59 papers). D. Tskhakaya is often cited by papers focused on Magnetic confinement fusion research (78 papers), Plasma Diagnostics and Applications (69 papers) and Dust and Plasma Wave Phenomena (59 papers). D. Tskhakaya collaborates with scholars based in Austria, Germany and Georgia. D. Tskhakaya's co-authors include S. Kuhn, R. Schneider, K. Matyash, P. K. Shukla, F. Taccogna, W. Fundamenski, L. Kos, Н. Л. Цинцадзе, N. Jelić and F. X. Bronold and has published in prestigious journals such as Physical Review Letters, Journal of Computational Physics and Journal of Physics D Applied Physics.

In The Last Decade

D. Tskhakaya

124 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Tskhakaya Austria 25 1.1k 1.1k 830 686 447 135 2.1k
R. Schrittwieser Austria 25 1.1k 0.9× 1.4k 1.3× 858 1.0× 220 0.3× 515 1.2× 160 2.2k
Jean-Marcel Rax France 28 1.2k 1.1× 1.0k 1.0× 807 1.0× 173 0.3× 481 1.1× 80 2.2k
G. A. Wurden United States 27 1.8k 1.6× 439 0.4× 353 0.4× 534 0.8× 884 2.0× 152 2.2k
W. A. Stygar United States 35 1.9k 1.6× 1.4k 1.4× 1.4k 1.7× 395 0.6× 174 0.4× 196 3.6k
N.J. Lopes Cardozo Netherlands 30 2.3k 2.0× 542 0.5× 371 0.4× 1.3k 1.9× 876 2.0× 116 2.9k
D. Moseev Germany 25 1.5k 1.3× 317 0.3× 474 0.6× 243 0.4× 670 1.5× 114 1.8k
T. E. Sheridan United States 33 392 0.3× 2.0k 1.9× 1.3k 1.6× 479 0.7× 585 1.3× 113 3.0k
Y. Sakawa Japan 24 920 0.8× 535 0.5× 494 0.6× 218 0.3× 353 0.8× 118 1.6k
D. R. Welch United States 29 1.9k 1.7× 1.1k 1.1× 986 1.2× 199 0.3× 240 0.5× 223 2.9k
S. A. Pikuz United States 31 2.3k 2.0× 668 0.6× 928 1.1× 227 0.3× 117 0.3× 176 3.1k

Countries citing papers authored by D. Tskhakaya

Since Specialization
Citations

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

Fields of papers citing papers by D. Tskhakaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Tskhakaya

This figure shows the co-authorship network connecting the top 25 collaborators of D. Tskhakaya. A scholar is included among the top collaborators of D. Tskhakaya 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 D. Tskhakaya. D. Tskhakaya 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.
Liu, Felix, D. Tskhakaya, S. Costea, et al.. (2025). Accelerating Particle-in-Cell Monte Carlo simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming. Journal of Computational Science. 88. 102590–102590.
2.
Dejarnac, R., M. Peterka, J. Havlíček, et al.. (2025). Physics drivers for the plasma-facing component design of the COMPASS-U tokamak. Plasma Physics and Controlled Fusion. 67(6). 65030–65030.
3.
Dimitrova, M., J.P. Gunn, J. Cavalier, et al.. (2024). Correlation between non-ambipolar currents and divertor heat loads in the COMPASS tokamak. Plasma Physics and Controlled Fusion. 66(11). 115014–115014.
4.
Horáček, J., et al.. (2024). Scaling of HeatLMD-simulated impurity outflux from COMPASS-U liquid metal divertor. Nuclear Fusion. 65(1). 16014–16014. 2 indexed citations
5.
Horáček, J., T.W. Morgan, K. Krieger, et al.. (2023). Predictive and interpretative modelling of ASDEX-upgrade liquid metal divertor experiment. Fusion Engineering and Design. 194. 113886–113886. 8 indexed citations
6.
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
7.
Horáček, J., D. Tskhakaya, J. Cavalier, et al.. (2023). ELM temperature in JET and COMPASS tokamak divertors. Nuclear Fusion. 63(5). 56007–56007. 7 indexed citations
8.
Adámek, Jiřı́, et al.. (2023). Temporal characteristics of ELMs on the COMPASS divertor. Nuclear Fusion. 63(8). 86009–86009. 2 indexed citations
9.
Coster, D., et al.. (2021). SOLPS-ITER simulations of the COMPASS tokamak. 1 indexed citations
10.
Costea, S., J. Kovačič, D. Tskhakaya, et al.. (2021). Particle-in-cell simulations of parallel dynamics of a blob in the scrape-off-layer plasma of a generic medium-size tokamak. Plasma Physics and Controlled Fusion. 63(5). 55016–55016. 5 indexed citations
11.
Tskhakaya, D., et al.. (2020). Kinetic model of the COMPASS tokamak SOL. Nuclear Materials and Energy. 26. 100893–100893. 6 indexed citations
12.
Eksaeva, A., D. Borodin, J. Romazanov, et al.. (2019). Surface roughness effect on Mo physical sputtering and re-deposition in the linear plasma device PSI-2 predicted by ERO2.0. Nuclear Materials and Energy. 19. 13–18. 22 indexed citations
13.
Kirschner, A., S. Brezinsek, A. Huber, et al.. (2019). Modelling of tungsten erosion and deposition in the divertor of JET-ILW in comparison to experimental findings. Nuclear Materials and Energy. 18. 239–244. 25 indexed citations
14.
Kirschner, A., D. Tskhakaya, S. Brezinsek, et al.. (2017). Modelling of plasma-wall interaction and impurity transport in fusion devices and prompt deposition of tungsten as application. Plasma Physics and Controlled Fusion. 60(1). 14041–14041. 32 indexed citations
15.
Tskhakaya, D.. (2016). Kinetic Modelling of the Plasma Recombination. Contributions to Plasma Physics. 56(6-8). 698–704. 11 indexed citations
16.
Tskhakaya, D. & M. Groth. (2013). 1D kinetic modelling of the JET SOL with tungsten divertor plates. Journal of Nuclear Materials. 438(Suppl). S522–S525. 18 indexed citations
17.
Tskhakaya, D., S. Jachmich, T. Eich, & W. Fundamenski. (2010). Interpretation of divertor Langmuir probe measurements during the ELMs at JET. Journal of Nuclear Materials. 415(1). S860–S864. 40 indexed citations
18.
Kawamura, G., Yukihiro Tomita, M. Kobayashi, & D. Tskhakaya. (2009). 1D fluid model of plasma profiles in the LHD divertor leg. National Institute for Fusion Science Repository (National Institute for Fusion Science). 15(2). 370–459.
19.
Tskhakaya, D. & P. K. Shukla. (2001). Theory of dust crystal and its oscillations in plasmas. Physics Letters A. 286(4). 277–281. 16 indexed citations
20.
Tskhakaya, D. & S. Kuhn. (2000). Influence of Secondary Electrons on the Stability of the Plasma-Wall Transition. APS Division of Plasma Physics Meeting Abstracts. 42.

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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