the JET EFDA Contributors
About
In The Last Decade
the JET EFDA Contributors
11 papers receiving 355 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| the JET EFDA Contributors United Kingdom | 9 | 353 | 177 | 156 | 105 | 62 | 11 | 373 | ||
| S. Gerasimov United Kingdom | 11 | 393 1.1× | 149 0.8× | 177 1.1× | 197 1.9× | 89 1.4× | 35 | 419 | ||
| G Tresset France | 8 | 465 1.3× | 248 1.4× | 185 1.2× | 185 1.8× | 91 1.5× | 10 | 473 | ||
| Ruihai Tong China | 10 | 287 0.8× | 107 0.6× | 121 0.8× | 68 0.6× | 80 1.3× | 55 | 329 | ||
| D. Howell United Kingdom | 8 | 327 0.9× | 72 0.4× | 213 1.4× | 88 0.8× | 78 1.3× | 14 | 336 | ||
| M. Hugon United Kingdom | 6 | 402 1.1× | 146 0.8× | 241 1.5× | 112 1.1× | 53 0.9× | 12 | 422 | ||
| W. Yan China | 10 | 233 0.7× | 91 0.5× | 93 0.6× | 63 0.6× | 66 1.1× | 51 | 275 | ||
| Y. Nakamura Japan | 11 | 235 0.7× | 130 0.7× | 79 0.5× | 147 1.4× | 51 0.8× | 26 | 282 | ||
| N. Walkden United Kingdom | 12 | 300 0.8× | 143 0.8× | 165 1.1× | 66 0.6× | 47 0.8× | 25 | 349 | ||
| P. Lomas United Kingdom | 13 | 481 1.4× | 273 1.5× | 152 1.0× | 169 1.6× | 100 1.6× | 42 | 523 | ||
| G. P. Canal Switzerland | 13 | 413 1.2× | 232 1.3× | 176 1.1× | 131 1.2× | 83 1.3× | 42 | 437 |
Countries citing papers authored by the JET EFDA Contributors
This map shows the geographic impact of the JET EFDA Contributors'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 the JET EFDA Contributors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites the JET EFDA Contributors more than expected).
Fields of papers citing papers by the JET EFDA Contributors
This network shows the impact of papers produced by the JET EFDA Contributors. 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 the JET EFDA Contributors. The network helps show where the JET EFDA Contributors may publish in the future.
Co-authorship network of co-authors of the JET EFDA Contributors
This figure shows the co-authorship network connecting the top 25 collaborators of the JET EFDA Contributors. A scholar is included among the top collaborators of the JET EFDA Contributors 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 the JET EFDA Contributors. the JET EFDA Contributors is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.