Rosa Gasa
About
In The Last Decade
Rosa Gasa
44 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rosa Gasa Spain | 19 | 699 | 561 | 402 | 295 | 122 | 45 | 1.2k | ||
| Maria E. Wilson United States | 15 | 624 0.9× | 552 1.0× | 472 1.2× | 275 0.9× | 98 0.8× | 25 | 1.2k | ||
| Daniel M. Kemp United States | 19 | 562 0.8× | 799 1.4× | 384 1.0× | 232 0.8× | 224 1.8× | 32 | 1.5k | ||
| Daniel Eberhard Germany | 19 | 401 0.6× | 541 1.0× | 215 0.5× | 160 0.5× | 122 1.0× | 37 | 1.1k | ||
| Catherine Lee May United States | 17 | 849 1.2× | 566 1.0× | 606 1.5× | 367 1.2× | 89 0.7× | 28 | 1.3k | ||
| Kathryn L. Corbin United States | 14 | 485 0.7× | 287 0.5× | 229 0.6× | 276 0.9× | 169 1.4× | 25 | 815 | ||
| Simone Baltrusch Germany | 22 | 541 0.8× | 701 1.2× | 146 0.4× | 218 0.7× | 189 1.5× | 51 | 1.2k | ||
| Xin Tong United States | 16 | 416 0.6× | 297 0.5× | 201 0.5× | 156 0.5× | 111 0.9× | 33 | 769 | ||
| Mohammad Mahdi Motazacker Netherlands | 14 | 437 0.6× | 549 1.0× | 225 0.6× | 261 0.9× | 60 0.5× | 18 | 1.2k | ||
| Juehu Wang United States | 19 | 1.4k 2.0× | 1.0k 1.8× | 908 2.3× | 600 2.0× | 177 1.5× | 24 | 2.1k | ||
| Alena Shostak United States | 17 | 1.5k 2.2× | 766 1.4× | 798 2.0× | 753 2.6× | 240 2.0× | 25 | 2.0k |
Countries citing papers authored by Rosa Gasa
This map shows the geographic impact of Rosa Gasa'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 Rosa Gasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Gasa more than expected).
Fields of papers citing papers by Rosa Gasa
This network shows the impact of papers produced by Rosa Gasa. 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 Rosa Gasa. The network helps show where Rosa Gasa may publish in the future.
Co-authorship network of co-authors of Rosa Gasa
This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Gasa. A scholar is included among the top collaborators of Rosa Gasa 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 Rosa Gasa. Rosa Gasa 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.