Μάγδα Σπέλλα
About
In The Last Decade
Μάγδα Σπέλλα
30 papers receiving 654 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Μάγδα Σπέλλα Greece | 17 | 395 | 189 | 175 | 147 | 93 | 30 | 659 | ||
| Shihe Hou United States | 13 | 235 0.6× | 111 0.6× | 131 0.7× | 212 1.4× | 141 1.5× | 25 | 624 | ||
| Laura Lattanzio Italy | 13 | 333 0.8× | 126 0.7× | 194 1.1× | 215 1.5× | 78 0.8× | 33 | 678 | ||
| Kouichi Tabu Japan | 14 | 332 0.8× | 88 0.5× | 134 0.8× | 268 1.8× | 88 0.9× | 30 | 629 | ||
| Teresita Reiner United States | 13 | 285 0.7× | 76 0.4× | 85 0.5× | 99 0.7× | 41 0.4× | 20 | 464 | ||
| Stephan Lindsey United States | 14 | 421 1.1× | 43 0.2× | 117 0.7× | 163 1.1× | 126 1.4× | 18 | 726 | ||
| André‐René Blaudszun Germany | 7 | 436 1.1× | 93 0.5× | 245 1.4× | 374 2.5× | 126 1.4× | 13 | 799 | ||
| Hecheng Zhu China | 14 | 295 0.7× | 96 0.5× | 157 0.9× | 110 0.7× | 132 1.4× | 29 | 530 | ||
| Reni Kitte Germany | 5 | 457 1.2× | 76 0.4× | 239 1.4× | 373 2.5× | 120 1.3× | 7 | 786 | ||
| Xiaoguang Hao China | 10 | 296 0.7× | 52 0.3× | 97 0.6× | 119 0.8× | 36 0.4× | 24 | 511 | ||
| Chongkui Sun China | 13 | 337 0.9× | 62 0.3× | 124 0.7× | 192 1.3× | 125 1.3× | 16 | 621 |
Countries citing papers authored by Μάγδα Σπέλλα
This map shows the geographic impact of Μάγδα Σπέλλα'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 Μάγδα Σπέλλα with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Μάγδα Σπέλλα more than expected).
Fields of papers citing papers by Μάγδα Σπέλλα
This network shows the impact of papers produced by Μάγδα Σπέλλα. 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 Μάγδα Σπέλλα. The network helps show where Μάγδα Σπέλλα may publish in the future.
Co-authorship network of co-authors of Μάγδα Σπέλλα
This figure shows the co-authorship network connecting the top 25 collaborators of Μάγδα Σπέλλα. A scholar is included among the top collaborators of Μάγδα Σπέλλα 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 Μάγδα Σπέλλα. Μάγδα Σπέλλα 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.