Vilma Pacheco-Barcía
About
In The Last Decade
Vilma Pacheco-Barcía
27 papers receiving 436 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Vilma Pacheco-Barcía Spain | 9 | 345 | 118 | 69 | 58 | 53 | 29 | 438 | ||
| Hyerim Ha South Korea | 10 | 222 0.6× | 74 0.6× | 129 1.9× | 43 0.7× | 43 0.8× | 25 | 376 | ||
| Fadi El Karak Lebanon | 13 | 225 0.7× | 155 1.3× | 78 1.1× | 34 0.6× | 25 0.5× | 51 | 462 | ||
| Hiren Mandaliya Australia | 8 | 248 0.7× | 111 0.9× | 40 0.6× | 43 0.7× | 49 0.9× | 21 | 371 | ||
| Ahmet Sezer Türkiye | 11 | 235 0.7× | 168 1.4× | 77 1.1× | 34 0.6× | 33 0.6× | 48 | 402 | ||
| Marium Husain United States | 8 | 224 0.6× | 83 0.7× | 35 0.5× | 40 0.7× | 28 0.5× | 34 | 300 | ||
| Swee Peng Yap Singapore | 11 | 187 0.5× | 78 0.7× | 96 1.4× | 38 0.7× | 38 0.7× | 23 | 372 | ||
| Caroleen Quach United States | 8 | 188 0.5× | 70 0.6× | 28 0.4× | 59 1.0× | 82 1.5× | 13 | 342 | ||
| Luciano Paladini Brazil | 8 | 213 0.6× | 96 0.8× | 97 1.4× | 29 0.5× | 50 0.9× | 20 | 526 | ||
| Aurélia Meurisse France | 12 | 250 0.7× | 157 1.3× | 121 1.8× | 36 0.6× | 78 1.5× | 48 | 429 | ||
| Amanda V. Hayman United States | 11 | 245 0.7× | 63 0.5× | 192 2.8× | 100 1.7× | 29 0.5× | 26 | 493 |
Countries citing papers authored by Vilma Pacheco-Barcía
This map shows the geographic impact of Vilma Pacheco-Barcía'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 Vilma Pacheco-Barcía with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vilma Pacheco-Barcía more than expected).
Fields of papers citing papers by Vilma Pacheco-Barcía
This network shows the impact of papers produced by Vilma Pacheco-Barcía. 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 Vilma Pacheco-Barcía. The network helps show where Vilma Pacheco-Barcía may publish in the future.
Co-authorship network of co-authors of Vilma Pacheco-Barcía
This figure shows the co-authorship network connecting the top 25 collaborators of Vilma Pacheco-Barcía. A scholar is included among the top collaborators of Vilma Pacheco-Barcía 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 Vilma Pacheco-Barcía. Vilma Pacheco-Barcía 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.