Verena Wieser
About
In The Last Decade
Verena Wieser
45 papers receiving 1.7k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Verena Wieser Austria | 21 | 568 | 549 | 345 | 334 | 235 | 47 | 1.7k | ||
| Byung Lae Park South Korea | 28 | 681 1.2× | 429 0.8× | 533 1.5× | 425 1.3× | 213 0.9× | 86 | 2.0k | ||
| Martina Buck United States | 21 | 827 1.5× | 643 1.2× | 272 0.8× | 159 0.5× | 236 1.0× | 34 | 2.1k | ||
| Letizia Scola Italy | 26 | 587 1.0× | 521 0.9× | 350 1.0× | 723 2.2× | 284 1.2× | 72 | 2.3k | ||
| Antonella Daniele Italy | 23 | 436 0.8× | 334 0.6× | 214 0.6× | 201 0.6× | 431 1.8× | 64 | 1.6k | ||
| Patricia Guevara‐Ramírez Ecuador | 22 | 409 0.7× | 214 0.4× | 354 1.0× | 191 0.6× | 243 1.0× | 83 | 1.5k | ||
| Hajime Isomoto Japan | 26 | 601 1.1× | 550 1.0× | 219 0.6× | 342 1.0× | 232 1.0× | 110 | 2.3k | ||
| Hyangkyu Lee South Korea | 27 | 1.4k 2.4× | 361 0.7× | 538 1.6× | 481 1.4× | 183 0.8× | 98 | 3.0k | ||
| Jean Pierre Schatzmann Peron Brazil | 24 | 703 1.2× | 348 0.6× | 346 1.0× | 1.0k 3.0× | 318 1.4× | 75 | 2.6k | ||
| Matthias Laudes Germany | 28 | 1.0k 1.8× | 477 0.9× | 693 2.0× | 246 0.7× | 199 0.8× | 85 | 2.5k | ||
| Carlos Hernández Spain | 24 | 697 1.2× | 243 0.4× | 293 0.8× | 465 1.4× | 329 1.4× | 56 | 1.9k |
Countries citing papers authored by Verena Wieser
This map shows the geographic impact of Verena Wieser'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 Verena Wieser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verena Wieser more than expected).
Fields of papers citing papers by Verena Wieser
This network shows the impact of papers produced by Verena Wieser. 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 Verena Wieser. The network helps show where Verena Wieser may publish in the future.
Co-authorship network of co-authors of Verena Wieser
This figure shows the co-authorship network connecting the top 25 collaborators of Verena Wieser. A scholar is included among the top collaborators of Verena Wieser 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 Verena Wieser. Verena Wieser 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.