Yulieth Upegui
About
In The Last Decade
Yulieth Upegui
30 papers receiving 559 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yulieth Upegui Colombia | 13 | 333 | 192 | 96 | 86 | 85 | 31 | 569 | ||
| Guo‐Chun Zhou China | 17 | 167 0.5× | 97 0.5× | 182 1.9× | 51 0.6× | 51 0.6× | 46 | 655 | ||
| José Wanderlan Pontes Espíndola Brazil | 11 | 275 0.8× | 150 0.8× | 85 0.9× | 131 1.5× | 31 0.4× | 12 | 385 | ||
| Marcelo Montenegro Rabello Brazil | 15 | 250 0.8× | 137 0.7× | 242 2.5× | 147 1.7× | 24 0.3× | 26 | 633 | ||
| Francesco Saccoliti Italy | 15 | 204 0.6× | 83 0.4× | 183 1.9× | 96 1.1× | 80 0.9× | 26 | 508 | ||
| Luiz Antônio Dutra Brazil | 13 | 194 0.6× | 72 0.4× | 113 1.2× | 60 0.7× | 35 0.4× | 23 | 406 | ||
| Prija Ponnan India | 15 | 272 0.8× | 83 0.4× | 216 2.3× | 45 0.5× | 25 0.3× | 33 | 558 | ||
| Moni Sharma India | 14 | 647 1.9× | 172 0.9× | 233 2.4× | 59 0.7× | 19 0.2× | 18 | 825 | ||
| Valérie Landry France | 13 | 289 0.9× | 163 0.8× | 211 2.2× | 194 2.3× | 17 0.2× | 22 | 622 | ||
| Mariana Bastos dos Santos Brazil | 12 | 184 0.6× | 54 0.3× | 127 1.3× | 57 0.7× | 35 0.4× | 23 | 382 | ||
| Camilo Henrique da Silva Lima Brazil | 13 | 325 1.0× | 60 0.3× | 173 1.8× | 74 0.9× | 19 0.2× | 62 | 557 |
Countries citing papers authored by Yulieth Upegui
This map shows the geographic impact of Yulieth Upegui'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 Yulieth Upegui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulieth Upegui more than expected).
Fields of papers citing papers by Yulieth Upegui
This network shows the impact of papers produced by Yulieth Upegui. 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 Yulieth Upegui. The network helps show where Yulieth Upegui may publish in the future.
Co-authorship network of co-authors of Yulieth Upegui
This figure shows the co-authorship network connecting the top 25 collaborators of Yulieth Upegui. A scholar is included among the top collaborators of Yulieth Upegui 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 Yulieth Upegui. Yulieth Upegui 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.