Maricel Torrent
About
In The Last Decade
Maricel Torrent
37 papers receiving 1.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maricel Torrent United States | 21 | 651 | 561 | 429 | 301 | 189 | 37 | 1.6k | ||
| Ian Bytheway Australia | 27 | 629 1.0× | 728 1.3× | 429 1.0× | 343 1.1× | 162 0.9× | 50 | 1.9k | ||
| Tsuyoshi Ueda Japan | 24 | 605 0.9× | 1.0k 1.9× | 281 0.7× | 508 1.7× | 199 1.1× | 72 | 2.3k | ||
| C. Ceccarelli United States | 17 | 277 0.4× | 446 0.8× | 333 0.8× | 310 1.0× | 200 1.1× | 28 | 1.2k | ||
| Kate L. Ronayne United Kingdom | 25 | 656 1.0× | 279 0.5× | 232 0.5× | 516 1.7× | 237 1.3× | 36 | 1.9k | ||
| Van Tran Vietnam | 25 | 452 0.7× | 1.9k 3.4× | 695 1.6× | 216 0.7× | 72 0.4× | 73 | 2.8k | ||
| Ana María Blanco‐Rodríguez United Kingdom | 17 | 357 0.5× | 311 0.6× | 184 0.4× | 538 1.8× | 265 1.4× | 19 | 1.5k | ||
| Maria Jaworska Poland | 22 | 754 1.2× | 342 0.6× | 266 0.6× | 564 1.9× | 242 1.3× | 93 | 1.5k | ||
| Alberto Ceccon Italy | 26 | 408 0.6× | 1.5k 2.6× | 512 1.2× | 344 1.1× | 321 1.7× | 123 | 2.3k | ||
| Joseph D. Ferrara United States | 22 | 1.0k 1.6× | 1.1k 2.0× | 516 1.2× | 391 1.3× | 106 0.6× | 64 | 2.8k | ||
| Masato Kodaka Japan | 25 | 677 1.0× | 645 1.1× | 92 0.2× | 395 1.3× | 198 1.0× | 80 | 1.7k |
Countries citing papers authored by Maricel Torrent
This map shows the geographic impact of Maricel Torrent'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 Maricel Torrent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maricel Torrent more than expected).
Fields of papers citing papers by Maricel Torrent
This network shows the impact of papers produced by Maricel Torrent. 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 Maricel Torrent. The network helps show where Maricel Torrent may publish in the future.
Co-authorship network of co-authors of Maricel Torrent
This figure shows the co-authorship network connecting the top 25 collaborators of Maricel Torrent. A scholar is included among the top collaborators of Maricel Torrent 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 Maricel Torrent. Maricel Torrent 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.