Chiara Uboldi
About
In The Last Decade
Chiara Uboldi
29 papers receiving 1.4k 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 Uboldi Italy | 20 | 872 | 446 | 348 | 198 | 192 | 29 | 1.5k | ||
| Barbara Drašler Switzerland | 19 | 580 0.7× | 578 1.3× | 374 1.1× | 196 1.0× | 438 2.3× | 38 | 1.7k | ||
| Irina Estrela‐Lopis Germany | 23 | 741 0.8× | 491 1.1× | 448 1.3× | 116 0.6× | 437 2.3× | 56 | 1.9k | ||
| Fabio Franchini Italy | 13 | 692 0.8× | 303 0.7× | 298 0.9× | 162 0.8× | 190 1.0× | 16 | 1.1k | ||
| Cheng-Teng Ng Singapore | 10 | 472 0.5× | 333 0.7× | 215 0.6× | 122 0.6× | 199 1.0× | 13 | 887 | ||
| Yanan Chang China | 24 | 1.1k 1.3× | 814 1.8× | 277 0.8× | 132 0.7× | 459 2.4× | 91 | 2.3k | ||
| Laetitia Gonzalez Belgium | 15 | 1.0k 1.2× | 434 1.0× | 342 1.0× | 373 1.9× | 330 1.7× | 20 | 1.7k | ||
| Matthew Boyles United Kingdom | 18 | 618 0.7× | 389 0.9× | 229 0.7× | 202 1.0× | 235 1.2× | 33 | 1.3k | ||
| Sabrina Gioria Italy | 20 | 572 0.7× | 403 0.9× | 377 1.1× | 104 0.5× | 364 1.9× | 35 | 1.4k | ||
| Yumei Xie China | 20 | 559 0.6× | 564 1.3× | 477 1.4× | 106 0.5× | 397 2.1× | 51 | 1.7k | ||
| Dania Movia Ireland | 21 | 473 0.5× | 518 1.2× | 313 0.9× | 116 0.6× | 289 1.5× | 38 | 1.3k |
Countries citing papers authored by Chiara Uboldi
This map shows the geographic impact of Chiara Uboldi'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 Uboldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Uboldi more than expected).
Fields of papers citing papers by Chiara Uboldi
This network shows the impact of papers produced by Chiara Uboldi. 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 Uboldi. The network helps show where Chiara Uboldi may publish in the future.
Co-authorship network of co-authors of Chiara Uboldi
This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Uboldi. A scholar is included among the top collaborators of Chiara Uboldi 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 Uboldi. Chiara Uboldi 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.