Raffaella D’Auria
About
In The Last Decade
Raffaella D’Auria
14 papers receiving 184 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Raffaella D’Auria Italy | 7 | 44 | 42 | 35 | 30 | 27 | 16 | 186 | ||
| Nicoletta Vesentini Italy | 10 | 19 0.4× | 99 2.4× | 64 1.8× | 20 0.7× | 16 0.6× | 13 | 374 | ||
| Ziwei Pan China | 6 | 61 1.4× | 176 4.2× | 37 1.1× | 26 0.9× | 8 0.3× | 9 | 397 | ||
| Encheng Zhou China | 6 | 13 0.3× | 54 1.3× | 54 1.5× | 4 0.1× | 40 1.5× | 8 | 281 | ||
| Daniel Wysokiński Poland | 12 | 51 1.2× | 159 3.8× | 51 1.5× | 11 0.4× | 6 0.2× | 20 | 346 | ||
| Lichun Qiao China | 10 | 32 0.7× | 72 1.7× | 11 0.3× | 7 0.2× | 4 0.1× | 33 | 293 | ||
| Tianyu Zhou China | 10 | 58 1.3× | 95 2.3× | 26 0.7× | 22 0.7× | 4 0.1× | 44 | 307 | ||
| Walaa Bayoumie El Gazzar Egypt | 8 | 21 0.5× | 165 3.9× | 14 0.4× | 42 1.4× | 15 0.6× | 31 | 334 | ||
| Mara de Souza Junqueira Brazil | 10 | 90 2.0× | 163 3.9× | 31 0.9× | 37 1.2× | 5 0.2× | 30 | 384 | ||
| Alison M. Kriegel United States | 7 | 61 1.4× | 145 3.5× | 43 1.2× | 29 1.0× | 36 1.3× | 7 | 332 | ||
| Noriko Toda Japan | 9 | 105 2.4× | 57 1.4× | 6 0.2× | 20 0.7× | 50 1.9× | 19 | 339 |
Countries citing papers authored by Raffaella D’Auria
This map shows the geographic impact of Raffaella D’Auria'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 Raffaella D’Auria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaella D’Auria more than expected).
Fields of papers citing papers by Raffaella D’Auria
This network shows the impact of papers produced by Raffaella D’Auria. 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 Raffaella D’Auria. The network helps show where Raffaella D’Auria may publish in the future.
Co-authorship network of co-authors of Raffaella D’Auria
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaella D’Auria. A scholar is included among the top collaborators of Raffaella D’Auria 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 Raffaella D’Auria. Raffaella D’Auria 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.