R. Doerner

5.1k total citations · 1 hit paper
90 papers, 3.6k citations indexed

About

R. Doerner is a scholar working on Materials Chemistry, Nuclear and High Energy Physics and Computational Mechanics. According to data from OpenAlex, R. Doerner has authored 90 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Materials Chemistry, 32 papers in Nuclear and High Energy Physics and 24 papers in Computational Mechanics. Recurrent topics in R. Doerner's work include Fusion materials and technologies (80 papers), Nuclear Materials and Properties (46 papers) and Magnetic confinement fusion research (30 papers). R. Doerner is often cited by papers focused on Fusion materials and technologies (80 papers), Nuclear Materials and Properties (46 papers) and Magnetic confinement fusion research (30 papers). R. Doerner collaborates with scholars based in United States, Germany and Japan. R. Doerner's co-authors include M.J. Baldwin, D. Nishijima, W.R. Wampler, Y. Ueda, K. Schmid, D.G. Whyte, J. Linke, J.W. Coenen, J.H. Yu and S. Luckhardt and has published in prestigious journals such as Physical Review Letters, Journal of Applied Physics and ACS Applied Materials & Interfaces.

In The Last Decade

R. Doerner

89 papers receiving 3.5k citations

Hit Papers

Helium induced nanoscopic morphology on tungsten under fu... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Doerner United States 29 3.3k 984 908 851 474 90 3.6k
K. Schmid Germany 35 3.4k 1.1× 1.4k 1.4× 803 0.9× 945 1.1× 436 0.9× 143 4.0k
A. Kreter Germany 30 2.5k 0.8× 1.3k 1.3× 495 0.5× 714 0.8× 430 0.9× 206 3.0k
Naoaki Yoshida Japan 27 3.1k 0.9× 399 0.4× 923 1.0× 749 0.9× 642 1.4× 144 3.4k
M.J. Baldwin United States 40 4.7k 1.4× 1.3k 1.3× 1.3k 1.4× 1.6k 1.9× 657 1.4× 173 5.4k
J. Likonen Finland 32 3.0k 0.9× 1.6k 1.7× 580 0.6× 887 1.0× 316 0.7× 251 4.0k
R.A. Causey United States 33 3.3k 1.0× 965 1.0× 689 0.8× 687 0.8× 255 0.5× 111 3.6k
M. Balden Germany 40 4.4k 1.4× 1.1k 1.1× 959 1.1× 1.4k 1.6× 1.0k 2.1× 231 5.3k
A.A. Haasz Canada 32 4.4k 1.4× 1.5k 1.5× 1.3k 1.4× 864 1.0× 329 0.7× 180 4.9k
W.R. Wampler United States 25 2.4k 0.7× 1.2k 1.2× 592 0.7× 430 0.5× 195 0.4× 92 3.1k
M. Rubel Sweden 36 4.0k 1.2× 2.6k 2.6× 564 0.6× 724 0.9× 284 0.6× 263 4.6k

Countries citing papers authored by R. Doerner

Since Specialization
Citations

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

Fields of papers citing papers by R. Doerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Doerner

This figure shows the co-authorship network connecting the top 25 collaborators of R. Doerner. A scholar is included among the top collaborators of R. Doerner 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 R. Doerner. R. Doerner 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.
Baldwin, M.J., D. Nishijima, M.I. Patino, et al.. (2023). Pisces-RF: A helicon-plasma based linear-device for the study of fusion relevant plasma-materials-interactions. Nuclear Materials and Energy. 36. 101477–101477. 15 indexed citations
2.
Nishijima, D., M. Tokitani, T. Schwarz‐Selinger, et al.. (2023). Deuterium supersaturated surface layer in tungsten: ion energy dependence. Nuclear Fusion. 63(12). 126003–126003. 6 indexed citations
3.
Najm, Habib N., R. Doerner, D. Nishijima, et al.. (2021). Quantification of the effect of uncertainty on impurity migration in PISCES-A simulated with GITR. Nuclear Fusion. 62(5). 56007–56007. 1 indexed citations
4.
Simmonds, M.J., et al.. (2020). Understanding hydrogen retention in damaged tungsten using experimentally-guided models of complex multispecies evolution. Nuclear Fusion. 60(9). 96003–96003. 12 indexed citations
5.
Baldwin, M.J., T. Schwarz‐Selinger, & R. Doerner. (2017). D retention in Be exposed to fusion relevant mixed species D 2 He plasma. Nuclear Materials and Energy. 12. 678–682. 11 indexed citations
6.
Doerner, R., et al.. (2017). GITR Simulation of Helium Exposed Tungsten Erosion and Redistribution in PISCES-A. Bulletin of the American Physical Society. 2017. 2 indexed citations
7.
Doerner, R.. (2017). Sputtering in a high-flux plasma environment. Scripta Materialia. 143. 137–141. 16 indexed citations
8.
Simmonds, M.J., Yongqiang Wang, R. Doerner, et al.. (2015). Effect of Damaging Temperature on Deuterium Retention in Tungsten. Bulletin of the American Physical Society. 2015. 1 indexed citations
9.
Ueda, Y., J.W. Coenen, G. De Temmerman, et al.. (2014). Research status and issues of tungsten plasma facing materials for ITER and beyond. Fusion Engineering and Design. 89(7-8). 901–906. 266 indexed citations
10.
Respinis, Moreno de, G. De Temmerman, İrem Tanyeli, et al.. (2013). Efficient Plasma Route to Nanostructure Materials: Case Study on the Use of m-WO3 for Solar Water Splitting. ACS Applied Materials & Interfaces. 5(15). 7621–7625. 93 indexed citations
11.
Pigarov, A. Yu., Predrag Krstić, S. I. Krasheninnikov, R. Doerner, & T.D. Rognlien. (2012). Dynamic Models for Plasma‐Wall Interactions. Contributions to Plasma Physics. 52(5-6). 465–477. 8 indexed citations
12.
Pugno, R., K. Schmid, M.J. Baldwin, et al.. (2008). Saturation in deuterium retention of CFC graphite targets exposed to beryllium-seeded plasmas on PISCES-B. Journal of Nuclear Materials. 375(2). 168–172. 7 indexed citations
13.
Majeski, R., R. Doerner, Timothy Gray, et al.. (2006). Enhanced Energy Confinement and Performance in a Low-Recycling Tokamak. Physical Review Letters. 97(7). 75002–75002. 118 indexed citations
14.
Doerner, R., M.J. Baldwin, & R.A. Causey. (2005). Beryllium–tungsten mixed-material interactions. Journal of Nuclear Materials. 342(1-3). 63–67. 49 indexed citations
15.
Sengupta, Anita, et al.. (2004). Experimentally Determined Neutral Density and Plasma Parameters in a 30 CM Ion Engine. 40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. 19 indexed citations
16.
Doerner, R., M.J. Baldwin, & K. Schmid. (2004). The Influence of a Beryllium Containing Plasma on the Evolution of a Mixed-Material Surface. Physica Scripta. T111(1). 75–75. 80 indexed citations
17.
Doerner, R., M.J. Baldwin, S. I. Krasheninnikov, & D.G. Whyte. (2003). Behavior of high temperature liquid surfaces in contact with plasma. Journal of Nuclear Materials. 313-316. 383–387. 31 indexed citations
18.
Majeski, R., D. J. Hoffman, B. Jones, et al.. (2003). Plasma performance improvements with liquid lithium limiters in CDX-U. Fusion Engineering and Design. 65(3). 443–447. 7 indexed citations
19.
Kaita, R., R. Majeski, P. C. Efthimion, et al.. (2000). Plans for Liquid Lithium Experiments in CDX-U. APS Division of Plasma Physics Meeting Abstracts. 42. 1 indexed citations
20.
Watkins, J.G., R. A. Moyer, D. N. Hill, et al.. (1992). Scrape-off layer measurements in DIII-D. Journal of Nuclear Materials. 196-198. 829–832. 18 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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