Chiara Fasciani
About
In The Last Decade
Chiara Fasciani
18 papers receiving 696 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Chiara Fasciani Canada | 14 | 339 | 245 | 198 | 186 | 138 | 18 | 703 | ||
| Xiaojian Yang China | 17 | 321 0.9× | 110 0.4× | 176 0.9× | 438 2.4× | 147 1.1× | 29 | 853 | ||
| Kai-Ping Chang Taiwan | 14 | 338 1.0× | 100 0.4× | 157 0.8× | 201 1.1× | 112 0.8× | 35 | 745 | ||
| Ziran Ye China | 14 | 373 1.1× | 446 1.8× | 147 0.7× | 551 3.0× | 53 0.4× | 38 | 927 | ||
| Qianqian Shen China | 15 | 249 0.7× | 177 0.7× | 96 0.5× | 446 2.4× | 75 0.5× | 35 | 828 | ||
| Yahui Song China | 18 | 447 1.3× | 410 1.7× | 178 0.9× | 387 2.1× | 104 0.8× | 41 | 942 | ||
| Assad U. Khan United States | 12 | 185 0.5× | 315 1.3× | 179 0.9× | 228 1.2× | 40 0.3× | 21 | 608 | ||
| Kaustav Bhattacharjee India | 12 | 317 0.9× | 139 0.6× | 93 0.5× | 163 0.9× | 49 0.4× | 26 | 583 | ||
| Eun Jeong Kim South Korea | 18 | 353 1.0× | 263 1.1× | 162 0.8× | 354 1.9× | 41 0.3× | 57 | 916 | ||
| Yuliang Chu China | 11 | 457 1.3× | 215 0.9× | 192 1.0× | 671 3.6× | 39 0.3× | 14 | 966 | ||
| Lea Pasquale Italy | 14 | 302 0.9× | 129 0.5× | 124 0.6× | 322 1.7× | 43 0.3× | 34 | 631 |
Countries citing papers authored by Chiara Fasciani
This map shows the geographic impact of Chiara Fasciani'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 Chiara Fasciani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Fasciani more than expected).
Fields of papers citing papers by Chiara Fasciani
This network shows the impact of papers produced by Chiara Fasciani. 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 Chiara Fasciani. The network helps show where Chiara Fasciani may publish in the future.
Co-authorship network of co-authors of Chiara Fasciani
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Fasciani. A scholar is included among the top collaborators of Chiara Fasciani 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 Chiara Fasciani. Chiara Fasciani 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.