Madé Wenten
About
In The Last Decade
Madé Wenten
21 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Madé Wenten United States | 17 | 510 | 360 | 339 | 318 | 246 | 22 | 1.8k | ||
| Laure El ghormli United States | 23 | 682 1.3× | 509 1.4× | 329 1.0× | 268 0.8× | 235 1.0× | 58 | 2.7k | ||
| Jae Woong Sull South Korea | 22 | 309 0.6× | 199 0.6× | 448 1.3× | 281 0.9× | 202 0.8× | 60 | 2.1k | ||
| Esther K. Wei United States | 24 | 486 1.0× | 176 0.5× | 419 1.2× | 1.0k 3.2× | 337 1.4× | 36 | 2.7k | ||
| Fiona Bragg United Kingdom | 22 | 299 0.6× | 451 1.3× | 266 0.8× | 205 0.6× | 69 0.3× | 60 | 1.8k | ||
| Julie K. Bassett Australia | 26 | 603 1.2× | 146 0.4× | 373 1.1× | 310 1.0× | 252 1.0× | 62 | 1.9k | ||
| Heather Spencer Feigelson United States | 23 | 657 1.3× | 159 0.4× | 615 1.8× | 1.1k 3.5× | 242 1.0× | 33 | 3.1k | ||
| DeAnn Lazovich United States | 31 | 258 0.5× | 194 0.5× | 519 1.5× | 1.2k 3.7× | 181 0.7× | 88 | 3.4k | ||
| L N Kolonel United States | 20 | 614 1.2× | 426 1.2× | 282 0.8× | 628 2.0× | 540 2.2× | 22 | 2.5k | ||
| Sang‐Wook Yi South Korea | 26 | 160 0.3× | 300 0.8× | 218 0.6× | 138 0.4× | 97 0.4× | 97 | 1.8k | ||
| Rami Nassir United States | 21 | 397 0.8× | 215 0.6× | 263 0.8× | 454 1.4× | 120 0.5× | 73 | 1.9k |
Countries citing papers authored by Madé Wenten
This map shows the geographic impact of Madé Wenten'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 Madé Wenten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madé Wenten more than expected).
Fields of papers citing papers by Madé Wenten
This network shows the impact of papers produced by Madé Wenten. 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 Madé Wenten. The network helps show where Madé Wenten may publish in the future.
Co-authorship network of co-authors of Madé Wenten
This figure shows the co-authorship network connecting the top 25 collaborators of Madé Wenten. A scholar is included among the top collaborators of Madé Wenten 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 Madé Wenten. Madé Wenten 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.