Rosario Maselli
About
In The Last Decade
Rosario Maselli
52 papers receiving 2.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rosario Maselli Italy | 27 | 999 | 836 | 485 | 439 | 273 | 52 | 2.1k | ||
| Aili L. Lazaar United States | 30 | 929 0.9× | 731 0.9× | 811 1.7× | 827 1.9× | 145 0.5× | 52 | 3.0k | ||
| Shuichiro Maruoka Japan | 30 | 902 0.9× | 762 0.9× | 688 1.4× | 823 1.9× | 176 0.6× | 85 | 2.7k | ||
| Akira Koarai Japan | 30 | 851 0.9× | 1.0k 1.2× | 351 0.7× | 550 1.3× | 210 0.8× | 70 | 2.0k | ||
| Seoung Ju Park South Korea | 29 | 665 0.7× | 620 0.7× | 513 1.1× | 783 1.8× | 185 0.7× | 93 | 2.3k | ||
| Angelo Y. Meliton United States | 29 | 571 0.6× | 654 0.8× | 672 1.4× | 1.1k 2.4× | 207 0.8× | 66 | 2.6k | ||
| Mohib Uddin Sweden | 23 | 584 0.6× | 595 0.7× | 973 2.0× | 459 1.0× | 225 0.8× | 39 | 2.0k | ||
| Yoo Seob Shin South Korea | 27 | 1.2k 1.2× | 533 0.6× | 652 1.3× | 311 0.7× | 205 0.8× | 164 | 2.6k | ||
| Yuko Morishima Japan | 28 | 671 0.7× | 838 1.0× | 751 1.5× | 1.4k 3.1× | 217 0.8× | 89 | 3.0k | ||
| Kazuhisa Asai Japan | 23 | 622 0.6× | 920 1.1× | 264 0.5× | 392 0.9× | 156 0.6× | 120 | 1.8k | ||
| Paul Rubin United States | 18 | 969 1.0× | 622 0.7× | 172 0.4× | 425 1.0× | 193 0.7× | 39 | 1.8k |
Countries citing papers authored by Rosario Maselli
This map shows the geographic impact of Rosario Maselli'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 Rosario Maselli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosario Maselli more than expected).
Fields of papers citing papers by Rosario Maselli
This network shows the impact of papers produced by Rosario Maselli. 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 Rosario Maselli. The network helps show where Rosario Maselli may publish in the future.
Co-authorship network of co-authors of Rosario Maselli
This figure shows the co-authorship network connecting the top 25 collaborators of Rosario Maselli. A scholar is included among the top collaborators of Rosario Maselli 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 Rosario Maselli. Rosario Maselli 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.