Valeria Gabrielli
About
In The Last Decade
Valeria Gabrielli
16 papers receiving 351 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Valeria Gabrielli United Kingdom | 12 | 181 | 94 | 66 | 65 | 61 | 18 | 357 | ||
| Hitomi Miyamoto Japan | 13 | 318 1.8× | 201 2.1× | 58 0.9× | 50 0.8× | 19 0.3× | 26 | 412 | ||
| Dmitry Tolmachev Russia | 13 | 182 1.0× | 142 1.5× | 25 0.4× | 68 1.0× | 50 0.8× | 28 | 454 | ||
| Toshio Tada Japan | 12 | 71 0.4× | 54 0.6× | 44 0.7× | 94 1.4× | 28 0.5× | 25 | 334 | ||
| Noël Cartier France | 6 | 272 1.5× | 93 1.0× | 90 1.4× | 21 0.3× | 61 1.0× | 6 | 399 | ||
| Malin Eriksson Sweden | 9 | 285 1.6× | 166 1.8× | 28 0.4× | 35 0.5× | 20 0.3× | 12 | 547 | ||
| Yongfeng Kang China | 10 | 119 0.7× | 79 0.8× | 37 0.6× | 69 1.1× | 61 1.0× | 37 | 397 | ||
| Mario Arcari Switzerland | 8 | 281 1.6× | 73 0.8× | 64 1.0× | 124 1.9× | 59 1.0× | 10 | 435 | ||
| John W. McAllister United States | 6 | 245 1.4× | 77 0.8× | 44 0.7× | 85 1.3× | 20 0.3× | 7 | 476 | ||
| Yukari Numata Japan | 14 | 312 1.7× | 145 1.5× | 116 1.8× | 37 0.6× | 13 0.2× | 18 | 409 | ||
| Xiao-Tong Qin China | 8 | 231 1.3× | 113 1.2× | 19 0.3× | 73 1.1× | 75 1.2× | 8 | 380 |
Countries citing papers authored by Valeria Gabrielli
This map shows the geographic impact of Valeria Gabrielli'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 Valeria Gabrielli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria Gabrielli more than expected).
Fields of papers citing papers by Valeria Gabrielli
This network shows the impact of papers produced by Valeria Gabrielli. 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 Valeria Gabrielli. The network helps show where Valeria Gabrielli may publish in the future.
Co-authorship network of co-authors of Valeria Gabrielli
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Gabrielli. A scholar is included among the top collaborators of Valeria Gabrielli 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 Valeria Gabrielli. Valeria Gabrielli 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.