Wibke Bayer
About
In The Last Decade
Wibke Bayer
45 papers receiving 693 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wibke Bayer Germany | 17 | 340 | 271 | 250 | 165 | 160 | 47 | 736 | ||
| Ernesto Mejías‐Pérez Spain | 13 | 311 0.9× | 326 1.2× | 135 0.5× | 186 1.1× | 165 1.0× | 19 | 784 | ||
| Florian Full Germany | 10 | 333 1.0× | 214 0.8× | 104 0.4× | 223 1.4× | 274 1.7× | 18 | 646 | ||
| Sandesh Subramanya United States | 14 | 179 0.5× | 474 1.7× | 114 0.5× | 97 0.6× | 119 0.7× | 19 | 819 | ||
| Oliver Höhn Germany | 15 | 348 1.0× | 347 1.3× | 178 0.7× | 106 0.6× | 100 0.6× | 26 | 863 | ||
| Mizuho Kajikawa Japan | 17 | 444 1.3× | 412 1.5× | 124 0.5× | 114 0.7× | 260 1.6× | 40 | 986 | ||
| Miika Martikainen Finland | 11 | 198 0.6× | 200 0.7× | 297 1.2× | 272 1.6× | 75 0.5× | 14 | 661 | ||
| Matthias Schroff Germany | 16 | 316 0.9× | 306 1.1× | 190 0.8× | 125 0.8× | 115 0.7× | 39 | 685 | ||
| Lisa Kattenhorn United States | 12 | 230 0.7× | 467 1.7× | 227 0.9× | 231 1.4× | 486 3.0× | 15 | 972 | ||
| Jiangao Zhu United States | 11 | 555 1.6× | 385 1.4× | 485 1.9× | 193 1.2× | 213 1.3× | 18 | 1.1k | ||
| Frank Wegmann Netherlands | 13 | 269 0.8× | 298 1.1× | 96 0.4× | 69 0.4× | 97 0.6× | 27 | 722 |
Countries citing papers authored by Wibke Bayer
This map shows the geographic impact of Wibke Bayer'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 Wibke Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wibke Bayer more than expected).
Fields of papers citing papers by Wibke Bayer
This network shows the impact of papers produced by Wibke Bayer. 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 Wibke Bayer. The network helps show where Wibke Bayer may publish in the future.
Co-authorship network of co-authors of Wibke Bayer
This figure shows the co-authorship network connecting the top 25 collaborators of Wibke Bayer. A scholar is included among the top collaborators of Wibke Bayer 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 Wibke Bayer. Wibke Bayer 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.