G. Maddison

2.5k total citations
28 papers, 430 citations indexed

About

G. Maddison is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, G. Maddison has authored 28 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Nuclear and High Energy Physics, 24 papers in Materials Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in G. Maddison's work include Magnetic confinement fusion research (28 papers), Fusion materials and technologies (24 papers) and Superconducting Materials and Applications (11 papers). G. Maddison is often cited by papers focused on Magnetic confinement fusion research (28 papers), Fusion materials and technologies (24 papers) and Superconducting Materials and Applications (11 papers). G. Maddison collaborates with scholars based in United Kingdom, Germany and United States. G. Maddison's co-authors include C. Giroud, T. Eich, R. Neu, S. Jachmich, J. Rapp, K. McCormick, T. Pütterich, A. Huber, S. Brezinsek and W. Fundamenski and has published in prestigious journals such as Journal of Nuclear Materials, Nuclear Fusion and Plasma Physics and Controlled Fusion.

In The Last Decade

G. Maddison

26 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Maddison United Kingdom 13 369 309 104 93 82 28 430
A. Briesemeister United States 13 460 1.2× 337 1.1× 138 1.3× 111 1.2× 86 1.0× 28 508
P. de Marné Germany 13 353 1.0× 282 0.9× 107 1.0× 83 0.9× 100 1.2× 33 430
A. Tabasso United Kingdom 12 324 0.9× 247 0.8× 103 1.0× 86 0.9× 64 0.8× 22 366
L. Gabellieri Italy 12 286 0.8× 178 0.6× 69 0.7× 72 0.8× 60 0.7× 49 375
N. Mellet France 11 349 0.9× 179 0.6× 169 1.6× 74 0.8× 83 1.0× 24 393
M. Marinucci Italy 12 391 1.1× 186 0.6× 192 1.8× 100 1.1× 123 1.5× 34 452
W. P. West United States 8 404 1.1× 226 0.7× 165 1.6× 113 1.2× 121 1.5× 39 460
The JET Team United Kingdom 14 477 1.3× 343 1.1× 148 1.4× 115 1.2× 106 1.3× 23 529
J. Spaleta United States 10 339 0.9× 307 1.0× 55 0.5× 115 1.2× 78 1.0× 16 426
B. Schunke France 12 333 0.9× 172 0.6× 136 1.3× 79 0.8× 70 0.9× 30 386

Countries citing papers authored by G. Maddison

Since Specialization
Citations

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

Fields of papers citing papers by G. Maddison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Maddison

This figure shows the co-authorship network connecting the top 25 collaborators of G. Maddison. A scholar is included among the top collaborators of G. Maddison 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 G. Maddison. G. Maddison 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.
Strand, P., H. Nordman, C. Giroud, et al.. (2016). Comparative gyrokinetic analysis of JET baseline H-mode core plasmas with carbon wall and ITER-like wall. Plasma Physics and Controlled Fusion. 58(4). 45021–45021. 2 indexed citations
2.
Frassinetti, L., D. Dodt, M. Beurskens, et al.. (2015). Effect of nitrogen seeding on the energy losses and on the time scales of the electron temperature and density collapse of type-I ELMs in JET with the ITER-like wall. Nuclear Fusion. 55(2). 23007–23007. 17 indexed citations
3.
Leyland, Matthew, M. Beurskens, L. Frassinetti, et al.. (2014). The H-mode pedestal structure and its role on confinement in JET with a carbon and metal wall. Nuclear Fusion. 55(1). 13019–13019. 33 indexed citations
4.
Fedorczak, N., P. Monier-Garbet, T. Pütterich, et al.. (2014). Tungsten transport and sources control in JET ITER-like wall H-mode plasmas. Journal of Nuclear Materials. 463. 85–90. 24 indexed citations
5.
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
6.
Leyland, Matthew, M. Beurskens, L. Frassinetti, et al.. (2013). Pedestal study across a deuterium fuelling scan for highδELMy H-mode plasmas on JET with the carbon wall. Nuclear Fusion. 53(8). 83028–83028. 20 indexed citations
7.
Fundamenski, W., T. Eich, S. Devaux, et al.. (2011). Multi-parameter scaling of divertor power load profiles in D, H and He plasmas on JET and implications for ITER. Nuclear Fusion. 51(8). 83028–83028. 30 indexed citations
8.
McCormick, K., G. Maddison, C. Giroud, et al.. (2011). Coupling between JET pedestal ne–Te and outer target plate recycling. Journal of Nuclear Materials. 415(1). S421–S424. 1 indexed citations
9.
Telesca, G., R. Zagórski, S. Brezinsek, et al.. (2011). Simulation with the COREDIV code of nitrogen-seeded H-mode discharges at JET. Plasma Physics and Controlled Fusion. 53(11). 115002–115002. 16 indexed citations
10.
Kallenbach, A., M. Balden, R. Dux, et al.. (2010). Plasma surface interactions in impurity seeded plasmas. Journal of Nuclear Materials. 415(1). S19–S26. 108 indexed citations
11.
Garzotti, L., L. R. Baylor, F. Köchl, et al.. (2010). Observation and analysis of pellet material ∇B drift on MAST. Nuclear Fusion. 50(10). 105002–105002. 12 indexed citations
12.
Huang, J., et al.. (2010). Analysis of fuel retention on MAST by global gas balance. Plasma Physics and Controlled Fusion. 52(7). 75012–75012. 8 indexed citations
13.
Maddison, G., A. Hubbard, J. W. Hughes, et al.. (2009). Dimensionless pedestal identity plasmas on Alcator C-Mod and JET. Nuclear Fusion. 49(12). 125004–125004. 4 indexed citations
14.
Valovič, M., K.B. Axon, L. Garzotti, et al.. (2008). Particle confinement of pellet-fuelled H-mode plasmas in the Mega Ampere Spherical Tokamak. Journal of Physics Conference Series. 123. 12039–12039. 2 indexed citations
15.
Maddison, G., et al.. (2005). Global modelling of tank gas density and effects on plasma density control in MAST. Plasma Physics and Controlled Fusion. 48(1). 71–107. 12 indexed citations
16.
Maddison, G., J. Snipes, G. D. Conway, et al.. (2002). ELM moderation with ICRF heating on JET. Plasma Physics and Controlled Fusion. 44(9). 1937–1952. 2 indexed citations
17.
Suttrop, W., F. Ryter, J.G. Cordey, et al.. (2002). Testing H-mode parameter similarity in JET and ASDEX Upgrade. Max Planck Institute for Plasma Physics.
18.
Jachmich, S., G. Maddison, M. Beurskens, et al.. (2002). Seeding of impurities in JET H-mode discharges to mitigate the impact of ELMs. Plasma Physics and Controlled Fusion. 44(9). 1879–1891. 8 indexed citations
19.
Jackson, G.L., T.E. Evans, C. M. Greenfield, et al.. (2000). Use of Impurity Injection for Improved Performance in the DIII-D and JET Tokamaks. JuSER (Forschungszentrum Jülich). 42.
20.
Connor, J W, G. Maddison, H. R. Wilson, et al.. (1993). An assessment of theoretical models based on observations in the JET tokamak. I. Ion heat transport due to Del Tiinstabilities. Plasma Physics and Controlled Fusion. 35(3). 319–348. 33 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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