Rosaria Varı́
About
In The Last Decade
Rosaria Varı́
56 papers receiving 3.8k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rosaria Varı́ Italy | 28 | 1.2k | 1.1k | 588 | 509 | 467 | 57 | 3.9k | ||
| Beatrice Scazzocchio Italy | 30 | 1.0k 0.9× | 1.1k 0.9× | 469 0.8× | 473 0.9× | 405 0.9× | 60 | 3.6k | ||
| Massimo D’Archivio Italy | 29 | 1.3k 1.1× | 1.1k 0.9× | 637 1.1× | 439 0.9× | 486 1.0× | 49 | 3.9k | ||
| Claudio Giovannini Italy | 32 | 1.2k 1.0× | 1.4k 1.2× | 793 1.3× | 518 1.0× | 564 1.2× | 80 | 4.7k | ||
| Fabio Virgili Italy | 38 | 1.2k 1.0× | 1.2k 1.1× | 639 1.1× | 468 0.9× | 362 0.8× | 103 | 4.1k | ||
| Alexander Medina‐Remón Spain | 27 | 1.5k 1.3× | 786 0.7× | 632 1.1× | 554 1.1× | 654 1.4× | 35 | 3.9k | ||
| Iris Erlund Finland | 30 | 1.4k 1.2× | 951 0.8× | 599 1.0× | 497 1.0× | 449 1.0× | 84 | 4.3k | ||
| Robert J. Nijveldt Netherlands | 22 | 981 0.8× | 1.0k 0.9× | 415 0.7× | 958 1.9× | 690 1.5× | 49 | 4.3k | ||
| Chin‐Lin Hsu Taiwan | 30 | 861 0.7× | 1.1k 0.9× | 509 0.9× | 521 1.0× | 729 1.6× | 73 | 3.6k | ||
| Junji Terao Japan | 33 | 1.2k 1.0× | 1.4k 1.2× | 441 0.8× | 507 1.0× | 458 1.0× | 87 | 3.7k | ||
| Jan Frank Germany | 41 | 1.7k 1.4× | 1.8k 1.6× | 1.1k 1.8× | 729 1.4× | 662 1.4× | 167 | 5.8k |
Countries citing papers authored by Rosaria Varı́
This map shows the geographic impact of Rosaria Varı́'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 Rosaria Varı́ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosaria Varı́ more than expected).
Fields of papers citing papers by Rosaria Varı́
This network shows the impact of papers produced by Rosaria Varı́. 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 Rosaria Varı́. The network helps show where Rosaria Varı́ may publish in the future.
Co-authorship network of co-authors of Rosaria Varı́
This figure shows the co-authorship network connecting the top 25 collaborators of Rosaria Varı́. A scholar is included among the top collaborators of Rosaria Varı́ 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 Rosaria Varı́. Rosaria Varı́ 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.