Pasqualina Trimarco
About
In The Last Decade
Pasqualina Trimarco
44 papers receiving 331 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Pasqualina Trimarco Italy | 11 | 334 | 67 | 36 | 22 | 15 | 45 | 348 | ||
| Y.‐M. TSAI Taiwan | 7 | 375 1.1× | 63 0.9× | 21 0.6× | 18 0.8× | 6 0.4× | 9 | 388 | ||
| Emilio Román Spain | 11 | 301 0.9× | 93 1.4× | 15 0.4× | 18 0.8× | 20 1.3× | 36 | 316 | ||
| Hongwang Du United States | 8 | 287 0.9× | 51 0.8× | 18 0.5× | 20 0.9× | 5 0.3× | 10 | 316 | ||
| Evelyne Marchand France | 11 | 249 0.7× | 51 0.8× | 23 0.6× | 13 0.6× | 6 0.4× | 22 | 268 | ||
| M. NAGARAJAN India | 11 | 299 0.9× | 99 1.5× | 17 0.5× | 12 0.5× | 5 0.3× | 23 | 333 | ||
| Yasuo Makisumi Japan | 14 | 436 1.3× | 79 1.2× | 19 0.5× | 42 1.9× | 13 0.9× | 50 | 496 | ||
| H. Sliwa France | 10 | 267 0.8× | 66 1.0× | 30 0.8× | 50 2.3× | 15 1.0× | 57 | 297 | ||
| John L. Esker United States | 10 | 302 0.9× | 165 2.5× | 17 0.5× | 9 0.4× | 15 1.0× | 11 | 389 | ||
| Gulzar Ahmed United States | 9 | 387 1.2× | 40 0.6× | 13 0.4× | 19 0.9× | 7 0.5× | 11 | 404 | ||
| Y. TOMIOKA Japan | 11 | 291 0.9× | 48 0.7× | 30 0.8× | 16 0.7× | 9 0.6× | 30 | 311 |
Countries citing papers authored by Pasqualina Trimarco
This map shows the geographic impact of Pasqualina Trimarco'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 Pasqualina Trimarco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pasqualina Trimarco more than expected).
Fields of papers citing papers by Pasqualina Trimarco
This network shows the impact of papers produced by Pasqualina Trimarco. 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 Pasqualina Trimarco. The network helps show where Pasqualina Trimarco may publish in the future.
Co-authorship network of co-authors of Pasqualina Trimarco
This figure shows the co-authorship network connecting the top 25 collaborators of Pasqualina Trimarco. A scholar is included among the top collaborators of Pasqualina Trimarco 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 Pasqualina Trimarco. Pasqualina Trimarco 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.