Carolina Alarcón-Payer
About
In The Last Decade
Carolina Alarcón-Payer
32 papers receiving 357 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Carolina Alarcón-Payer Spain | 11 | 119 | 117 | 83 | 72 | 62 | 40 | 362 | ||
| Xing-Fu Li China | 15 | 255 2.1× | 56 0.5× | 186 2.2× | 59 0.8× | 32 0.5× | 49 | 659 | ||
| Sean X. Gu United States | 11 | 43 0.4× | 61 0.5× | 84 1.0× | 152 2.1× | 82 1.3× | 27 | 658 | ||
| Angeliki Galani Greece | 9 | 117 1.0× | 121 1.0× | 23 0.3× | 129 1.8× | 14 0.2× | 14 | 444 | ||
| B.S. Potter United Kingdom | 14 | 69 0.6× | 78 0.7× | 69 0.8× | 121 1.7× | 54 0.9× | 60 | 688 | ||
| Hideaki Kanno Japan | 12 | 186 1.6× | 123 1.1× | 238 2.9× | 39 0.5× | 63 1.0× | 36 | 718 | ||
| Yuhua Mei China | 14 | 87 0.7× | 138 1.2× | 115 1.4× | 108 1.5× | 10 0.2× | 32 | 482 | ||
| Hamsell M. Alvarez United States | 8 | 107 0.9× | 165 1.4× | 52 0.6× | 50 0.7× | 6 0.1× | 11 | 421 | ||
| C. Balagopalakrishna United States | 11 | 93 0.8× | 81 0.7× | 66 0.8× | 108 1.5× | 9 0.1× | 14 | 398 | ||
| M. Damodara Poojary India | 10 | 190 1.6× | 62 0.5× | 137 1.7× | 122 1.7× | 7 0.1× | 21 | 435 | ||
| Hidetoshi Inoue Japan | 16 | 64 0.5× | 103 0.9× | 131 1.6× | 93 1.3× | 13 0.2× | 80 | 597 |
Countries citing papers authored by Carolina Alarcón-Payer
This map shows the geographic impact of Carolina Alarcón-Payer'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 Carolina Alarcón-Payer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Alarcón-Payer more than expected).
Fields of papers citing papers by Carolina Alarcón-Payer
This network shows the impact of papers produced by Carolina Alarcón-Payer. 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 Carolina Alarcón-Payer. The network helps show where Carolina Alarcón-Payer may publish in the future.
Co-authorship network of co-authors of Carolina Alarcón-Payer
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Alarcón-Payer. A scholar is included among the top collaborators of Carolina Alarcón-Payer 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 Carolina Alarcón-Payer. Carolina Alarcón-Payer 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.