Benedetta Pasquini
About
In The Last Decade
Benedetta Pasquini
34 papers receiving 727 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Benedetta Pasquini Italy | 19 | 435 | 284 | 280 | 117 | 107 | 35 | 762 | ||
| Amandine Dispas Belgium | 17 | 351 0.8× | 351 1.2× | 157 0.6× | 146 1.2× | 88 0.8× | 36 | 649 | ||
| Ludmila Matysová Czechia | 14 | 386 0.9× | 360 1.3× | 133 0.5× | 194 1.7× | 87 0.8× | 31 | 888 | ||
| Gaowa Jin China | 15 | 418 1.0× | 308 1.1× | 228 0.8× | 375 3.2× | 82 0.8× | 49 | 892 | ||
| Petr Česla Czechia | 19 | 716 1.6× | 460 1.6× | 442 1.6× | 328 2.8× | 86 0.8× | 43 | 997 | ||
| Mirjana Medenica Serbia | 20 | 547 1.3× | 598 2.1× | 178 0.6× | 157 1.3× | 136 1.3× | 69 | 1.0k | ||
| Katarína Hroboňová Slovakia | 16 | 285 0.7× | 258 0.9× | 181 0.6× | 80 0.7× | 114 1.1× | 73 | 581 | ||
| Leqian Hu China | 17 | 154 0.4× | 556 2.0× | 245 0.9× | 263 2.2× | 101 0.9× | 47 | 957 | ||
| Aimin Tan China | 16 | 245 0.6× | 132 0.5× | 319 1.1× | 168 1.4× | 134 1.3× | 41 | 802 | ||
| Javier Domínguez‐Álvarez Spain | 17 | 291 0.7× | 256 0.9× | 234 0.8× | 104 0.9× | 147 1.4× | 24 | 725 | ||
| Mira Zečević Serbia | 19 | 450 1.0× | 443 1.6× | 122 0.4× | 132 1.1× | 74 0.7× | 60 | 863 |
Countries citing papers authored by Benedetta Pasquini
This map shows the geographic impact of Benedetta Pasquini'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 Benedetta Pasquini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedetta Pasquini more than expected).
Fields of papers citing papers by Benedetta Pasquini
This network shows the impact of papers produced by Benedetta Pasquini. 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 Benedetta Pasquini. The network helps show where Benedetta Pasquini may publish in the future.
Co-authorship network of co-authors of Benedetta Pasquini
This figure shows the co-authorship network connecting the top 25 collaborators of Benedetta Pasquini. A scholar is included among the top collaborators of Benedetta Pasquini 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 Benedetta Pasquini. Benedetta Pasquini 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.