Mariagrazia Partisani
About
In The Last Decade
Mariagrazia Partisani
12 papers receiving 354 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mariagrazia Partisani France | 9 | 262 | 225 | 58 | 47 | 33 | 12 | 357 | ||
| Sébastien Nola France | 13 | 443 1.7× | 370 1.6× | 24 0.4× | 58 1.2× | 31 0.9× | 19 | 599 | ||
| Pei Zhi Cheryl Chia Australia | 10 | 238 0.9× | 208 0.9× | 29 0.5× | 48 1.0× | 107 3.2× | 11 | 378 | ||
| Mie Wong Switzerland | 5 | 202 0.8× | 225 1.0× | 28 0.5× | 12 0.3× | 36 1.1× | 7 | 306 | ||
| Roy G. H. P. van Heesbeen Netherlands | 6 | 420 1.6× | 409 1.8× | 23 0.4× | 33 0.7× | 53 1.6× | 6 | 538 | ||
| Raluca Gagescu United States | 7 | 345 1.3× | 287 1.3× | 21 0.4× | 22 0.5× | 76 2.3× | 19 | 497 | ||
| Josefina Hidalgo Spain | 11 | 283 1.1× | 258 1.1× | 37 0.6× | 14 0.3× | 33 1.0× | 13 | 403 | ||
| Justin D. Topp United States | 8 | 336 1.3× | 140 0.6× | 22 0.4× | 25 0.5× | 41 1.2× | 8 | 508 | ||
| Glenn C. Simon United States | 11 | 408 1.6× | 538 2.4× | 50 0.9× | 30 0.6× | 106 3.2× | 12 | 714 | ||
| Mickaël Machicoane France | 4 | 266 1.0× | 396 1.8× | 24 0.4× | 11 0.2× | 64 1.9× | 6 | 483 | ||
| Cristina Melero United States | 9 | 226 0.9× | 194 0.9× | 26 0.4× | 15 0.3× | 38 1.2× | 10 | 338 |
Countries citing papers authored by Mariagrazia Partisani
This map shows the geographic impact of Mariagrazia Partisani'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 Mariagrazia Partisani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariagrazia Partisani more than expected).
Fields of papers citing papers by Mariagrazia Partisani
This network shows the impact of papers produced by Mariagrazia Partisani. 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 Mariagrazia Partisani. The network helps show where Mariagrazia Partisani may publish in the future.
Co-authorship network of co-authors of Mariagrazia Partisani
This figure shows the co-authorship network connecting the top 25 collaborators of Mariagrazia Partisani. A scholar is included among the top collaborators of Mariagrazia Partisani 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 Mariagrazia Partisani. Mariagrazia Partisani 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.