Fábio da Veiga Ued
About
In The Last Decade
Fábio da Veiga Ued
27 papers receiving 388 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Fábio da Veiga Ued Brazil | 9 | 127 | 113 | 100 | 71 | 67 | 31 | 408 | ||
| Balewgizie Sileshi Tegegne Netherlands | 14 | 119 0.9× | 51 0.5× | 118 1.2× | 70 1.0× | 62 0.9× | 20 | 524 | ||
| Cornel van Rooyen South Africa | 10 | 76 0.6× | 85 0.8× | 104 1.0× | 30 0.4× | 102 1.5× | 61 | 377 | ||
| Chiara Mameli Italy | 14 | 55 0.4× | 121 1.1× | 91 0.9× | 75 1.1× | 54 0.8× | 26 | 607 | ||
| Poliana Cristina de Almeida Fonseca Viola Brazil | 12 | 88 0.7× | 311 2.8× | 103 1.0× | 24 0.3× | 119 1.8× | 60 | 551 | ||
| Larraitz Arriola Spain | 14 | 106 0.8× | 211 1.9× | 74 0.7× | 23 0.3× | 73 1.1× | 27 | 637 | ||
| Carolina Abreu de Carvalho Brazil | 15 | 104 0.8× | 350 3.1× | 111 1.1× | 45 0.6× | 144 2.1× | 54 | 613 | ||
| Caleb Lovelady United States | 4 | 210 1.7× | 133 1.2× | 344 3.4× | 64 0.9× | 41 0.6× | 6 | 532 | ||
| Mark Bauer United States | 12 | 200 1.6× | 68 0.6× | 117 1.2× | 88 1.2× | 129 1.9× | 23 | 492 | ||
| Caroline Buss Brazil | 13 | 184 1.4× | 179 1.6× | 62 0.6× | 30 0.4× | 70 1.0× | 32 | 548 | ||
| Robyn Maude New Zealand | 12 | 109 0.9× | 123 1.1× | 123 1.2× | 27 0.4× | 56 0.8× | 29 | 808 |
Countries citing papers authored by Fábio da Veiga Ued
This map shows the geographic impact of Fábio da Veiga Ued'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 Fábio da Veiga Ued with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio da Veiga Ued more than expected).
Fields of papers citing papers by Fábio da Veiga Ued
This network shows the impact of papers produced by Fábio da Veiga Ued. 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 Fábio da Veiga Ued. The network helps show where Fábio da Veiga Ued may publish in the future.
Co-authorship network of co-authors of Fábio da Veiga Ued
This figure shows the co-authorship network connecting the top 25 collaborators of Fábio da Veiga Ued. A scholar is included among the top collaborators of Fábio da Veiga Ued 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 Fábio da Veiga Ued. Fábio da Veiga Ued 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.