Mercè Casas‐Prat
About
In The Last Decade
Mercè Casas‐Prat
24 papers receiving 776 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mercè Casas‐Prat Spain | 17 | 533 | 506 | 358 | 196 | 105 | 24 | 791 | ||
| Laura Tuomi Finland | 16 | 578 1.1× | 274 0.5× | 260 0.7× | 147 0.8× | 55 0.5× | 54 | 719 | ||
| Sok Kuh Kang South Korea | 13 | 462 0.9× | 272 0.5× | 110 0.3× | 163 0.8× | 42 0.4× | 32 | 604 | ||
| Do‐Seong Byun South Korea | 14 | 442 0.8× | 226 0.4× | 132 0.4× | 190 1.0× | 142 1.4× | 68 | 640 | ||
| Nickitas Georgas United States | 18 | 336 0.6× | 725 1.4× | 390 1.1× | 492 2.5× | 196 1.9× | 37 | 972 | ||
| Jorge Pérez Spain | 12 | 503 0.9× | 510 1.0× | 291 0.8× | 290 1.5× | 80 0.8× | 17 | 754 | ||
| Jason G. Fleming United States | 12 | 254 0.5× | 328 0.6× | 193 0.5× | 141 0.7× | 60 0.6× | 18 | 499 | ||
| A. T. Cox United States | 7 | 450 0.8× | 646 1.3× | 435 1.2× | 226 1.2× | 137 1.3× | 8 | 786 | ||
| A.J. van der Westhuysen United States | 17 | 799 1.5× | 625 1.2× | 630 1.8× | 140 0.7× | 186 1.8× | 26 | 1.1k | ||
| P. R. Shanas India | 17 | 644 1.2× | 386 0.8× | 245 0.7× | 210 1.1× | 68 0.6× | 32 | 796 | ||
| Alberto Azevedo Portugal | 13 | 270 0.5× | 158 0.3× | 176 0.5× | 103 0.5× | 113 1.1× | 31 | 477 |
Countries citing papers authored by Mercè Casas‐Prat
This map shows the geographic impact of Mercè Casas‐Prat'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 Mercè Casas‐Prat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercè Casas‐Prat more than expected).
Fields of papers citing papers by Mercè Casas‐Prat
This network shows the impact of papers produced by Mercè Casas‐Prat. 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 Mercè Casas‐Prat. The network helps show where Mercè Casas‐Prat may publish in the future.
Co-authorship network of co-authors of Mercè Casas‐Prat
This figure shows the co-authorship network connecting the top 25 collaborators of Mercè Casas‐Prat. A scholar is included among the top collaborators of Mercè Casas‐Prat 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 Mercè Casas‐Prat. Mercè Casas‐Prat 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.