Natalie Wildermann
About
In The Last Decade
Natalie Wildermann
28 papers receiving 327 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Wildermann United States | 13 | 261 | 220 | 105 | 29 | 17 | 31 | 343 | ||
| Gabriela M. Vélez‐Rubio Uruguay | 10 | 211 0.8× | 117 0.5× | 92 0.9× | 44 1.5× | 12 0.7× | 23 | 261 | ||
| Gilberto Sales Brazil | 8 | 268 1.0× | 227 1.0× | 187 1.8× | 11 0.4× | 12 0.7× | 13 | 397 | ||
| Diego Albareda Argentina | 11 | 330 1.3× | 329 1.5× | 162 1.5× | 83 2.9× | 29 1.7× | 16 | 504 | ||
| Erin E. Seney United States | 9 | 247 0.9× | 187 0.8× | 115 1.1× | 5 0.2× | 13 0.8× | 14 | 293 | ||
| Mayeul Dalleau France | 12 | 209 0.8× | 336 1.5× | 212 2.0× | 15 0.5× | 71 4.2× | 21 | 431 | ||
| Bruno Giffoni Brazil | 13 | 407 1.6× | 250 1.1× | 226 2.2× | 12 0.4× | 32 1.9× | 21 | 497 | ||
| Ali Fuat Canbolat Türkiye | 6 | 256 1.0× | 184 0.8× | 141 1.3× | 8 0.3× | 7 0.4× | 9 | 314 | ||
| Rándall Arauz United States | 15 | 580 2.2× | 382 1.7× | 328 3.1× | 9 0.3× | 32 1.9× | 35 | 671 | ||
| Mariela Pajuelo United States | 9 | 383 1.5× | 385 1.8× | 207 2.0× | 7 0.2× | 12 0.7× | 17 | 512 | ||
| Gabriela S. Blanco Argentina | 12 | 284 1.1× | 285 1.3× | 250 2.4× | 8 0.3× | 33 1.9× | 20 | 432 |
Countries citing papers authored by Natalie Wildermann
This map shows the geographic impact of Natalie Wildermann'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 Natalie Wildermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Wildermann more than expected).
Fields of papers citing papers by Natalie Wildermann
This network shows the impact of papers produced by Natalie Wildermann. 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 Natalie Wildermann. The network helps show where Natalie Wildermann may publish in the future.
Co-authorship network of co-authors of Natalie Wildermann
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Wildermann. A scholar is included among the top collaborators of Natalie Wildermann 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 Natalie Wildermann. Natalie Wildermann 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.