Gabriela Pasqualim
About
In The Last Decade
Gabriela Pasqualim
31 papers receiving 394 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gabriela Pasqualim Brazil | 13 | 258 | 155 | 114 | 64 | 64 | 31 | 397 | ||
| Amiko Ohashi Japan | 7 | 251 1.0× | 164 1.1× | 120 1.1× | 45 0.7× | 52 0.8× | 9 | 418 | ||
| C. E. Hatton United Kingdom | 9 | 337 1.3× | 157 1.0× | 109 1.0× | 61 1.0× | 58 0.9× | 11 | 471 | ||
| H.C. Janse Netherlands | 11 | 268 1.0× | 127 0.8× | 96 0.8× | 84 1.3× | 31 0.5× | 17 | 404 | ||
| Osvaldo Artigalás Brazil | 13 | 112 0.4× | 120 0.8× | 64 0.6× | 33 0.5× | 103 1.6× | 27 | 322 | ||
| Juan M. Mucci Argentina | 12 | 286 1.1× | 127 0.8× | 78 0.7× | 92 1.4× | 19 0.3× | 18 | 348 | ||
| Prajnya Ranganath India | 11 | 84 0.3× | 150 1.0× | 50 0.4× | 30 0.5× | 115 1.8× | 56 | 367 | ||
| Christina Hung United States | 11 | 101 0.4× | 223 1.4× | 55 0.5× | 46 0.7× | 84 1.3× | 21 | 370 | ||
| Dominick Amato Canada | 10 | 200 0.8× | 144 0.9× | 52 0.5× | 150 2.3× | 14 0.2× | 26 | 427 | ||
| Yoshimi Ogawa Japan | 6 | 254 1.0× | 124 0.8× | 147 1.3× | 117 1.8× | 19 0.3× | 7 | 401 | ||
| Parag Tamhankar India | 10 | 57 0.2× | 95 0.6× | 36 0.3× | 29 0.5× | 67 1.0× | 32 | 272 |
Countries citing papers authored by Gabriela Pasqualim
This map shows the geographic impact of Gabriela Pasqualim'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 Gabriela Pasqualim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriela Pasqualim more than expected).
Fields of papers citing papers by Gabriela Pasqualim
This network shows the impact of papers produced by Gabriela Pasqualim. 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 Gabriela Pasqualim. The network helps show where Gabriela Pasqualim may publish in the future.
Co-authorship network of co-authors of Gabriela Pasqualim
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Pasqualim. A scholar is included among the top collaborators of Gabriela Pasqualim 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 Gabriela Pasqualim. Gabriela Pasqualim 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.