S. Lisgo

2.4k total citations · 1 hit paper
30 papers, 1.6k citations indexed

About

S. Lisgo is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, S. Lisgo has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Nuclear and High Energy Physics, 27 papers in Materials Chemistry and 5 papers in Biomedical Engineering. Recurrent topics in S. Lisgo's work include Magnetic confinement fusion research (28 papers), Fusion materials and technologies (27 papers) and Nuclear Materials and Properties (10 papers). S. Lisgo is often cited by papers focused on Magnetic confinement fusion research (28 papers), Fusion materials and technologies (27 papers) and Nuclear Materials and Properties (10 papers). S. Lisgo collaborates with scholars based in France, Germany and United Kingdom. S. Lisgo's co-authors include R.A. Pitts, S. Carpentier, P.C. Stangeby, Takeshi Hirai, A. Loarte, V. Komarov, M. Merola, R. Mitteau, F. Escourbiac and A. Kukushkin and has published in prestigious journals such as Journal of Nuclear Materials, Nuclear Fusion and Physica Scripta.

In The Last Decade

S. Lisgo

29 papers receiving 1.5k citations

Hit Papers

A full tungsten divertor for ITER: Physics issues and des... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Lisgo France 17 1.4k 859 229 203 190 30 1.6k
I. Landman Germany 24 1.6k 1.2× 1.2k 1.4× 169 0.7× 210 1.0× 219 1.2× 99 1.8k
Б. Базылев Germany 23 1.9k 1.4× 1.3k 1.5× 217 0.9× 251 1.2× 266 1.4× 77 2.1k
J.P. Coad United Kingdom 27 1.8k 1.3× 1.2k 1.4× 313 1.4× 241 1.2× 90 0.5× 87 2.0k
R.E. Nygren United States 19 1.2k 0.9× 637 0.7× 271 1.2× 199 1.0× 233 1.2× 103 1.5k
K. Heinola Finland 26 1.9k 1.4× 732 0.9× 267 1.2× 343 1.7× 211 1.1× 85 2.1k
А.V. Vertkov Russia 21 1.2k 0.9× 847 1.0× 306 1.3× 137 0.7× 114 0.6× 89 1.5k
V. Komarov Russia 19 1.8k 1.3× 1.1k 1.3× 367 1.6× 283 1.4× 420 2.2× 70 2.2k
S. Pestchanyi Germany 20 1.1k 0.8× 809 0.9× 111 0.5× 105 0.5× 121 0.6× 67 1.2k
I.E. Lyublinski Russia 22 1.2k 0.9× 770 0.9× 331 1.4× 141 0.7× 144 0.8× 84 1.5k
M. Missirlian France 20 1.0k 0.7× 648 0.8× 377 1.6× 133 0.7× 274 1.4× 97 1.3k

Countries citing papers authored by S. Lisgo

Since Specialization
Citations

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

Fields of papers citing papers by S. Lisgo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Lisgo

This figure shows the co-authorship network connecting the top 25 collaborators of S. Lisgo. A scholar is included among the top collaborators of S. Lisgo 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 S. Lisgo. S. Lisgo 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.
Borodin, D., J. Romazanov, R.A. Pitts, et al.. (2019). Improved ERO modelling of beryllium erosion at ITER upper first wall panel using JET-ILW and PISCES-B experience. Nuclear Materials and Energy. 19. 510–515. 15 indexed citations
2.
Alekseev, A.G., et al.. (2017). Optimization of optical dumps for H-alpha spectroscopy in ITER. Fusion Engineering and Design. 123. 825–829. 4 indexed citations
3.
Meisl, G., M. Oberkofler, A. Hakola, et al.. (2016). Nitrogen transport in ASDEX Upgrade: Role of surface roughness and transport to the main wall. Nuclear Materials and Energy. 12. 51–59. 7 indexed citations
4.
Harrison, J., W.A.J. Vijvers, C. Theiler, et al.. (2016). Detachment evolution on the TCV tokamak. Nuclear Materials and Energy. 12. 1071–1076. 34 indexed citations
5.
Kočan, M., R. Reichle, M.-H. Aumeunier, et al.. (2016). First results on modeling of ITER infrared images. Physica Scripta. T167. 14047–14047. 11 indexed citations
6.
Meisl, G., K. Schmid, M. Oberkofler, et al.. (2016). Experimental analysis and WallDYN simulations of the global nitrogen migration in ASDEX Upgrade L-mode discharges. Nuclear Fusion. 56(3). 36014–36014. 5 indexed citations
7.
Kukushkin, A. B., V.S. Neverov, A.G. Alekseev, S. Lisgo, & А. С. Кукушкин. (2016). Synthetic H-Alpha Diagnostics for ITER: Inverse Problems and Error Estimations for Strong Non-Maxwellian Effects and Intense Divertor Stray Light. Fusion Science & Technology. 69(3). 628–642. 24 indexed citations
8.
Schmid, K., K. Krieger, S. Lisgo, et al.. (2015). WALLDYN simulations of global impurity migration in JET and extrapolations to ITER. Nuclear Fusion. 55(5). 53015–53015. 65 indexed citations
9.
Neverov, V.S., A. B. Kukushkin, S. Lisgo, A. Kukushkin, & A.G. Alekseev. (2015). Asymmetry of the Balmer-alpha line shape and recovery of the effective hydrogen temperature in the tokamak scrape-off layer. Plasma Physics Reports. 41(2). 103–111. 7 indexed citations
10.
Schmid, K., K. Krieger, S. Lisgo, G. Meisl, & S. Brezinsek. (2014). Quantitative modeling of fuel retention in the JET-C and JET-ILW wall configurations by WallDYN and predictions for ITER. Journal of Nuclear Materials. 463. 66–72. 45 indexed citations
11.
Schmid, K., K. Krieger, S. Lisgo, & S. Brezinsek. (2014). WALLDYN simulations of global impurity migration and fuel retention in JET and extrapolations to ITER. Max Planck Digital Library. 1 indexed citations
12.
Kočan, M., R.A. Pitts, S. Lisgo, et al.. (2014). Modelling ELM heat flux deposition on the ITER main chamber wall. Journal of Nuclear Materials. 463. 709–713. 18 indexed citations
13.
Kukushkin, A. B., V.S. Neverov, V. Kotov, et al.. (2014). Parameterization of Balmer-alpha asymmetric line shape in tokamak SOL plasmas. Journal of Physics Conference Series. 548. 12012–12012. 8 indexed citations
14.
Shimada, Masashi, R.A. Pitts, S. Ciattaglia, et al.. (2013). In-vessel dust and tritium control strategy in ITER. Journal of Nuclear Materials. 438. S996–S1000. 69 indexed citations
15.
Krieger, K., S. Brezinsek, M. Reinelt, et al.. (2013). Beryllium migration and evolution of first wall surface composition in the JET ILW configuration. Journal of Nuclear Materials. 438. S262–S266. 24 indexed citations
16.
Lisgo, S., A. Kukushkin, R.A. Pitts, & D. Reiter. (2013). Design assessment of tungsten as an upper panel plasma facing material in ITER. Journal of Nuclear Materials. 438. S580–S584. 31 indexed citations
17.
Borodin, D., A. Kirschner, S. Carpentier‐Chouchana, et al.. (2011). ERO code benchmarking of ITER first wall beryllium erosion/re-deposition against LIM predictions. Physica Scripta. T145. 14008–14008. 35 indexed citations
18.
Pitts, R.A., S. Carpentier, F. Escourbiac, et al.. (2011). Physics basis and design of the ITER plasma-facing components. Journal of Nuclear Materials. 415(1). S957–S964. 351 indexed citations
19.
Carpentier, S., R.A. Pitts, P.C. Stangeby, et al.. (2010). Modelling of beryllium erosion–redeposition on ITER first wall panels. Journal of Nuclear Materials. 415(1). S165–S169. 51 indexed citations
20.
Huang, J., et al.. (2010). Fuel retention studies on MAST. Journal of Nuclear Materials. 415(1). S748–S751. 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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