D. Keeling

3.7k total citations
56 papers, 851 citations indexed

About

D. Keeling is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, D. Keeling has authored 56 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Nuclear and High Energy Physics, 31 papers in Materials Chemistry and 25 papers in Aerospace Engineering. Recurrent topics in D. Keeling's work include Magnetic confinement fusion research (49 papers), Fusion materials and technologies (30 papers) and Particle accelerators and beam dynamics (19 papers). D. Keeling is often cited by papers focused on Magnetic confinement fusion research (49 papers), Fusion materials and technologies (30 papers) and Particle accelerators and beam dynamics (19 papers). D. Keeling collaborates with scholars based in United Kingdom, United States and Sweden. D. Keeling's co-authors include Peter H. Beton, M. J. Humphry, Claire Wilson, N.S. Oxtoby, Neil R. Champness, R. Akers, Lev Kantorovich, Chris Hobbs, S. D. Pinches and M. Cecconello and has published in prestigious journals such as Physical Review Letters, Nano Letters and Physical Review B.

In The Last Decade

D. Keeling

54 papers receiving 798 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. Keeling United Kingdom 18 563 336 242 229 221 56 851
Y. Fujiwara Japan 14 387 0.7× 324 1.0× 77 0.3× 82 0.4× 303 1.4× 77 786
M. Okabayashi United States 14 672 1.2× 172 0.5× 167 0.7× 398 1.7× 80 0.4× 63 765
J. Fink United States 13 324 0.6× 176 0.5× 42 0.2× 59 0.3× 172 0.8× 40 610
P. Borchard United States 14 111 0.2× 231 0.7× 55 0.2× 19 0.1× 408 1.8× 96 975
D. A. Kislov Russia 10 198 0.4× 74 0.2× 102 0.4× 105 0.5× 32 0.1× 38 331
A. Ortner Germany 11 124 0.2× 54 0.2× 150 0.6× 38 0.2× 270 1.2× 19 567
Takemasa Shibata Japan 12 160 0.3× 122 0.4× 91 0.4× 23 0.1× 226 1.0× 77 512
D.A. Baker United States 14 289 0.5× 273 0.8× 100 0.4× 227 1.0× 289 1.3× 36 693
G. C. Idzorek United States 13 259 0.5× 73 0.2× 50 0.2× 42 0.2× 109 0.5× 40 527
M. Ruan China 13 606 1.1× 338 1.0× 104 0.4× 5 0.0× 159 0.7× 25 979

Countries citing papers authored by D. Keeling

Since Specialization
Citations

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

Fields of papers citing papers by D. Keeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of D. Keeling. A scholar is included among the top collaborators of D. Keeling 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. Keeling. D. Keeling 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.
Bonofiglo, P. J., V. Kiptily, J. F. Rivero-Rodríguez, et al.. (2024). Alpha particle loss measurements and analysis in JET DT plasmas. Nuclear Fusion. 64(9). 96038–96038. 3 indexed citations
2.
Liu, Yueqiang, D. Keeling, A. Kirk, et al.. (2024). Role of electrostatic perturbation on kinetic resistive wall mode with application to spherical tokamak. Nuclear Fusion. 64(6). 66037–66037. 1 indexed citations
3.
Järleblad, H., L. Stagner, J. Eriksson, et al.. (2024). Fast-ion orbit origin of neutron emission spectroscopy measurements in the JET DT campaign. Nuclear Fusion. 64(2). 26015–26015. 7 indexed citations
4.
King, D., C. Challis, E. Delabie, et al.. (2023). Tritium neutral beam injection on JET: calibration and plasma measurements of stored energy. Nuclear Fusion. 63(11). 112005–112005. 8 indexed citations
5.
Teplukhina, A., M. Podestá, F. M. Poli, et al.. (2023). Alfvén eigenmode stability in a JET afterglow deuterium plasma and projections to deuterium–tritium plasmas. Plasma Physics and Controlled Fusion. 65(3). 35023–35023. 1 indexed citations
6.
Oliver, James, S. E. Sharapov, Ž. Štancar, et al.. (2023). Toroidal Alfvén eigenmodes observed in low power JET deuterium–tritium plasmas. Nuclear Fusion. 63(11). 112008–112008. 7 indexed citations
7.
Faitsch, M., I. Balboa, P. Lomas, et al.. (2023). Divertor power load investigations with deuterium and tritium in type-I ELMy H-mode plasmas in JET with the ITER-like wall. Nuclear Fusion. 63(11). 112013–112013. 3 indexed citations
8.
Ho, A., J. Citrin, C. Challis, et al.. (2023). Predictive JET current ramp-up modelling using QuaLiKiz-neural-network. Nuclear Fusion. 63(6). 66014–66014. 10 indexed citations
9.
Podestá, M., M. Gorelenkova, A. Teplukhina, et al.. (2022). Extension of the energetic particle transport kick model in TRANSP to multiple fast ion species. Nuclear Fusion. 62(12). 126047–126047. 4 indexed citations
10.
King, D., Maria Nicassio, A. Ash, et al.. (2022). Tritium Operation of the JET Neutral Beam Systems and Tritium NBI Power Calculations. IEEE Transactions on Plasma Science. 50(11). 4080–4085. 1 indexed citations
11.
Seo, Jaemin, Junghee Kim, J. Mailloux, et al.. (2020). Parametric study of linear stability of toroidal Alfvén eigenmode in JET and KSTAR. Nuclear Fusion. 60(6). 66008–66008. 6 indexed citations
12.
Kirov, K., Y. Baranov, I.S. Carvalho, et al.. (2019). Fast ion synergistic effects in JET high performance pulses. Nuclear Fusion. 59(5). 56005–56005. 9 indexed citations
13.
Maggi, C. F., F. J. Casson, F. Auriemma, et al.. (2019). Isotope identity experiments in JET-ILW with H and D L-mode plasmas. Nuclear Fusion. 59(7). 76028–76028. 22 indexed citations
14.
Toussaint, M., et al.. (2017). Beam duct for the 1 MW neutral beam heating injector on TCV. Fusion Engineering and Design. 123. 421–425. 2 indexed citations
15.
Ćirić, D., A. Ash, B. Crowley, et al.. (2011). Performance of upgraded JET neutral beam injectors. Fusion Engineering and Design. 86(6-8). 509–512. 31 indexed citations
16.
Chapman, I.T., W.A. Cooper, J. P. Graves, et al.. (2011). Macroscopic stability of high β MAST plasmas. Nuclear Fusion. 51(7). 73040–73040. 37 indexed citations
17.
Andrew, Y., T. M. Biewer, K. Crombé, et al.. (2008). H-mode access on JET and implications for ITER. Plasma Physics and Controlled Fusion. 50(12). 124053–124053. 17 indexed citations
18.
Valovič, M., L. Garzotti, I. Voitsekhovitch, et al.. (2007). On the correlation between density profile and particle flux in H-mode tokamak plasmas and the implication for ITER. Nuclear Fusion. 47(3). 196–200. 13 indexed citations
19.
Keeling, D., et al.. (2005). Bond Breaking Coupled with Translation in Rolling of Covalently Bound Molecules. Physical Review Letters. 94(14). 146104–146104. 72 indexed citations
20.
Surrey, Elizabeth, D. Ćirić, S. J. Cox, et al.. (2005). Neutral Beam Injection in the JET Trace Tritium Experiment. Fusion Science & Technology. 48(1). 280–285. 10 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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