A. C. C. Sips

10.9k total citations
160 papers, 3.5k citations indexed

About

A. C. C. Sips is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, A. C. C. Sips has authored 160 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Nuclear and High Energy Physics, 80 papers in Materials Chemistry and 76 papers in Biomedical Engineering. Recurrent topics in A. C. C. Sips's work include Magnetic confinement fusion research (154 papers), Fusion materials and technologies (80 papers) and Superconducting Materials and Applications (76 papers). A. C. C. Sips is often cited by papers focused on Magnetic confinement fusion research (154 papers), Fusion materials and technologies (80 papers) and Superconducting Materials and Applications (76 papers). A. C. C. Sips collaborates with scholars based in Germany, United Kingdom and United States. A. C. C. Sips's co-authors include O. Gruber, J. Stöber, R. Neu, C. F. Maggi, T. Pütterich, A. Kallenbach, R. Dux, M. Maraschek, A. Herrmann and V. Rohde and has published in prestigious journals such as Nature Communications, Review of Scientific Instruments and Journal of Nuclear Materials.

In The Last Decade

A. C. C. Sips

148 papers receiving 3.3k 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. C. C. Sips Germany 34 3.2k 1.8k 1.1k 1.1k 915 160 3.5k
L. Giannone Germany 29 2.9k 0.9× 1.5k 0.9× 1.2k 1.0× 772 0.7× 700 0.8× 185 3.3k
M. Lehnen Germany 30 3.2k 1.0× 1.7k 1.0× 1.2k 1.1× 998 0.9× 684 0.7× 221 3.5k
C. Giroud United Kingdom 34 3.5k 1.1× 1.9k 1.1× 1.5k 1.3× 984 0.9× 692 0.8× 211 3.7k
H. Yamada Japan 29 3.2k 1.0× 1.5k 0.8× 1.5k 1.3× 796 0.8× 712 0.8× 289 3.6k
M. Beurskens Germany 31 3.0k 0.9× 1.7k 1.0× 1.1k 1.0× 864 0.8× 638 0.7× 168 3.3k
O. Gruber Germany 37 2.9k 0.9× 1.6k 0.9× 1.1k 1.0× 981 0.9× 751 0.8× 143 3.2k
G. Saibene Germany 33 3.7k 1.2× 2.4k 1.3× 1.2k 1.0× 1.3k 1.2× 1.2k 1.3× 202 4.2k
V. Rozhansky Russia 29 3.4k 1.1× 2.3k 1.3× 1.3k 1.1× 985 0.9× 753 0.8× 161 3.9k
M.E. Fenstermacher United States 32 3.7k 1.2× 1.9k 1.1× 1.5k 1.4× 1.1k 1.0× 853 0.9× 155 4.0k
C.J. Lasnier United States 30 2.7k 0.8× 1.8k 1.0× 817 0.7× 864 0.8× 569 0.6× 148 3.0k

Countries citing papers authored by A. C. C. Sips

Since Specialization
Citations

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

Fields of papers citing papers by A. C. C. Sips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. C. C. Sips

This figure shows the co-authorship network connecting the top 25 collaborators of A. C. C. Sips. A scholar is included among the top collaborators of A. C. C. Sips 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. C. C. Sips. A. C. C. Sips 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.
Sips, A. C. C., F. Turco, C. M. Greenfield, et al.. (2024). Power and isotope effects in the ITER baseline scenario with tungsten and tungsten-equivalent radiators in DIII-D. Nuclear Fusion. 64(7). 76037–76037. 1 indexed citations
2.
Buttery, R. J., T. Abrams, L. Casali, et al.. (2023). DIII-D's role as a national user facility in enabling the commercialization of fusion energy. Physics of Plasmas. 30(12). 3 indexed citations
3.
Vries, P.C. de, Y. Gribov, A. B. Mineev, et al.. (2020). Analysis of runaway electron discharge formation during Joint European Torus plasma start-up. Plasma Physics and Controlled Fusion. 62(12). 125014–125014. 9 indexed citations
4.
Yoo, Min-Gu, Jeongwon Lee, Young-Gi Kim, et al.. (2018). Evidence of a turbulent ExB mixing avalanche mechanism of gas breakdown in strongly magnetized systems. Nature Communications. 9(1). 3523–3523. 17 indexed citations
5.
Lennholm, M., I.S. Carvalho, C. Challis, et al.. (2017). Real time control developments at JET in preparation for deuterium-tritium operation. Fusion Engineering and Design. 123. 535–540. 8 indexed citations
6.
Luna, E. de la, I.T. Chapman, F. Rimini, et al.. (2015). Understanding the physics of ELM pacing via vertical kicks in JET in view of ITER. Nuclear Fusion. 56(2). 26001–26001. 31 indexed citations
7.
Hogeweij, G. M. D., G. Calabrò, A. C. C. Sips, et al.. (2014). ITER-like current ramps in JET with ILW: experiments, modelling and consequences for ITER. Nuclear Fusion. 55(1). 13009–13009. 8 indexed citations
8.
Tommasi, G. De, G. Ambrosino, M. Ariola, et al.. (2013). Shape Control with the eXtreme Shape Controller During Plasma Current Ramp-Up and Ramp-Down at the JET Tokamak. Journal of Fusion Energy. 33(2). 149–157. 13 indexed citations
9.
Nunes, I., P. Lomas, D. C. McDonald, et al.. (2013). Confinement and edge studies towards lowρ*andν*at JET. Nuclear Fusion. 53(7). 73020–73020. 9 indexed citations
10.
Kessel, C., I. H. Hutchinson, P. Bonoli, et al.. (2010). Experiments and Simulations of ITER-like Plasmas in Alcator C-Mod. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
11.
Bonoli, P. T., R. W. Harvey, C. Kessel, et al.. (2007). Benchmarking of Lower Hybrid Current Drive Codes with Applications to ITER-Relevant Regimes. DSpace@MIT (Massachusetts Institute of Technology). 10 indexed citations
12.
Stöber, J., A. Gude, F. Leuterer, et al.. (2007). First experiments with the extended ECRH system on ASDEX Upgrade. Max Planck Institute for Plasma Physics.
13.
Giroud, C., R. Barnsley, C. Challis, et al.. (2004). Z-dependence of impurity transport in steady-state ITB and Hybrid scenario at JET. MPG.PuRe (Max Planck Society).
14.
Suttrop, W., M. Maraschek, G. D. Conway, et al.. (2003). ELM-free stationary H-mode plasmas in ASDEX Upgrade. Acta Radiologica Oncology. 23(1). 15–9. 1 indexed citations
15.
Hobirk, J., Patrick J. McCarthy, L. Giannone, et al.. (2003). 'Current Holes' at ASDEX Upgrade. Max Planck Institute for Plasma Physics.
16.
Ryter, F., J. Stöber, A. Stäbler, et al.. (2001). Confinement and transport studies of conventional scenarios in ASDEX Upgrade. Nuclear Fusion. 41(5). 537–550. 47 indexed citations
17.
Mailloux, J., Y. Baranov, C. Challis, et al.. (1999). Current Profile Control in the Optimised Shear Plasmas on JET. APS. 41.
18.
Baranov, Y., B. Alper, Geoff Cottrell, et al.. (1999). Current profile, MHD activity and transport properties of optimized shear plasmas in JET. Nuclear Fusion. 39(10). 1463–1480. 15 indexed citations
19.
O'Rourke, J, et al.. (1993). Measurements of the electron source distribution and particle transport coefficients in JET. Plasma Physics and Controlled Fusion. 35(5). 585–594. 22 indexed citations
20.
Krämer, G., A. C. C. Sips, & N.J. Lopes Cardozo. (1993). Electron density fluctuation in JET measured with multichannel reflectometry. Plasma Physics and Controlled Fusion. 35(12). 1685–1699. 20 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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