Georgia Pennarossa
About
In The Last Decade
Georgia Pennarossa
68 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Georgia Pennarossa Italy | 21 | 665 | 377 | 296 | 180 | 125 | 69 | 1.1k | ||
| Maura Turriani Italy | 15 | 265 0.4× | 152 0.4× | 281 0.9× | 91 0.5× | 65 0.5× | 24 | 778 | ||
| Hitomi Matsunari Japan | 26 | 1.1k 1.6× | 648 1.7× | 350 1.2× | 688 3.8× | 110 0.9× | 82 | 1.8k | ||
| Manuela Monti Italy | 18 | 465 0.7× | 130 0.3× | 237 0.8× | 90 0.5× | 77 0.6× | 62 | 889 | ||
| Aida Rodríguez Spain | 20 | 546 0.8× | 82 0.2× | 442 1.5× | 211 1.2× | 55 0.4× | 46 | 1.1k | ||
| Sun‐A Ock South Korea | 21 | 530 0.8× | 339 0.9× | 421 1.4× | 205 1.1× | 53 0.4× | 56 | 1.2k | ||
| Maurycy Jankowski Poland | 17 | 361 0.5× | 89 0.2× | 277 0.9× | 144 0.8× | 55 0.4× | 70 | 908 | ||
| Rouhollah Fathi Iran | 16 | 206 0.3× | 139 0.4× | 352 1.2× | 52 0.3× | 69 0.6× | 58 | 619 | ||
| Xianghua Huang China | 19 | 361 0.5× | 252 0.7× | 202 0.7× | 34 0.2× | 94 0.8× | 78 | 979 | ||
| Sung‐Keun Kang South Korea | 13 | 377 0.6× | 134 0.4× | 345 1.2× | 233 1.3× | 29 0.2× | 25 | 782 | ||
| G. Taru Sharma India | 21 | 405 0.6× | 205 0.5× | 553 1.9× | 178 1.0× | 87 0.7× | 101 | 1.2k |
Countries citing papers authored by Georgia Pennarossa
This map shows the geographic impact of Georgia Pennarossa'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 Georgia Pennarossa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgia Pennarossa more than expected).
Fields of papers citing papers by Georgia Pennarossa
This network shows the impact of papers produced by Georgia Pennarossa. 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 Georgia Pennarossa. The network helps show where Georgia Pennarossa may publish in the future.
Co-authorship network of co-authors of Georgia Pennarossa
This figure shows the co-authorship network connecting the top 25 collaborators of Georgia Pennarossa. A scholar is included among the top collaborators of Georgia Pennarossa 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 Georgia Pennarossa. Georgia Pennarossa 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.