Suleva Povea-Cabello
About
In The Last Decade
Suleva Povea-Cabello
29 papers receiving 703 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Suleva Povea-Cabello Spain | 18 | 470 | 126 | 97 | 86 | 70 | 29 | 717 | ||
| Irene Villalón-García Spain | 17 | 447 1.0× | 121 1.0× | 92 0.9× | 83 1.0× | 65 0.9× | 24 | 674 | ||
| Marta Talaverón-Rey Spain | 17 | 423 0.9× | 129 1.0× | 96 1.0× | 84 1.0× | 66 0.9× | 29 | 631 | ||
| Juan M. Suárez-Rivero Spain | 19 | 632 1.3× | 128 1.0× | 129 1.3× | 150 1.7× | 80 1.1× | 35 | 946 | ||
| Manuel Munuera-Cabeza Spain | 14 | 331 0.7× | 80 0.6× | 58 0.6× | 80 0.9× | 40 0.6× | 22 | 508 | ||
| Alejandra Suárez-Carrillo Spain | 14 | 331 0.7× | 80 0.6× | 58 0.6× | 80 0.9× | 40 0.6× | 23 | 508 | ||
| Mónica Álvarez-Córdoba Spain | 20 | 705 1.5× | 138 1.1× | 126 1.3× | 161 1.9× | 83 1.2× | 44 | 1.1k | ||
| Richard McNally United States | 4 | 454 1.0× | 96 0.8× | 41 0.4× | 105 1.2× | 135 1.9× | 5 | 751 | ||
| Eleonora Paradies Italy | 11 | 702 1.5× | 59 0.5× | 209 2.2× | 176 2.0× | 42 0.6× | 18 | 922 | ||
| Haiying Ma China | 21 | 585 1.2× | 66 0.5× | 34 0.4× | 125 1.5× | 135 1.9× | 45 | 1.0k |
Countries citing papers authored by Suleva Povea-Cabello
This map shows the geographic impact of Suleva Povea-Cabello'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 Suleva Povea-Cabello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suleva Povea-Cabello more than expected).
Fields of papers citing papers by Suleva Povea-Cabello
This network shows the impact of papers produced by Suleva Povea-Cabello. 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 Suleva Povea-Cabello. The network helps show where Suleva Povea-Cabello may publish in the future.
Co-authorship network of co-authors of Suleva Povea-Cabello
This figure shows the co-authorship network connecting the top 25 collaborators of Suleva Povea-Cabello. A scholar is included among the top collaborators of Suleva Povea-Cabello 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 Suleva Povea-Cabello. Suleva Povea-Cabello 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.