Mabel Vaca
About
In The Last Decade
Mabel Vaca
28 papers receiving 318 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mabel Vaca Mexico | 11 | 116 | 79 | 65 | 48 | 47 | 29 | 336 | ||
| John Kabuba South Africa | 13 | 139 1.2× | 48 0.6× | 58 0.9× | 27 0.6× | 70 1.5× | 40 | 389 | ||
| Abd-Elmouneïm Belhadj Algeria | 11 | 148 1.3× | 50 0.6× | 47 0.7× | 19 0.4× | 29 0.6× | 16 | 375 | ||
| Alak Kumar Singh India | 7 | 148 1.3× | 41 0.5× | 28 0.4× | 22 0.5× | 48 1.0× | 11 | 388 | ||
| Azrul Nurfaiz Mohd Faizal Malaysia | 11 | 106 0.9× | 20 0.3× | 49 0.8× | 32 0.7× | 52 1.1× | 31 | 314 | ||
| Ana Eusébio Portugal | 8 | 137 1.2× | 57 0.7× | 18 0.3× | 31 0.6× | 65 1.4× | 18 | 382 | ||
| Kakoli Karar Paul India | 12 | 130 1.1× | 62 0.8× | 40 0.6× | 19 0.4× | 101 2.1× | 22 | 368 | ||
| Yiqun Xu China | 13 | 194 1.7× | 152 1.9× | 27 0.4× | 70 1.5× | 146 3.1× | 33 | 533 | ||
| Tharaa M. Al-Zghoul Jordan | 13 | 179 1.5× | 44 0.6× | 28 0.4× | 17 0.4× | 77 1.6× | 27 | 363 | ||
| David Valero Spain | 10 | 214 1.8× | 104 1.3× | 21 0.3× | 24 0.5× | 135 2.9× | 12 | 411 | ||
| Temitayo E Oladimeji Nigeria | 9 | 65 0.6× | 26 0.3× | 50 0.8× | 15 0.3× | 110 2.3× | 29 | 368 |
Countries citing papers authored by Mabel Vaca
This map shows the geographic impact of Mabel Vaca'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 Mabel Vaca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mabel Vaca more than expected).
Fields of papers citing papers by Mabel Vaca
This network shows the impact of papers produced by Mabel Vaca. 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 Mabel Vaca. The network helps show where Mabel Vaca may publish in the future.
Co-authorship network of co-authors of Mabel Vaca
This figure shows the co-authorship network connecting the top 25 collaborators of Mabel Vaca. A scholar is included among the top collaborators of Mabel Vaca 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 Mabel Vaca. Mabel Vaca 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.