Feelly Ruether
About
In The Last Decade
Feelly Ruether
9 papers receiving 598 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Feelly Ruether Germany | 9 | 451 | 207 | 172 | 144 | 92 | 9 | 607 | ||
| Hiroshi Takiyama Japan | 17 | 641 1.4× | 154 0.7× | 77 0.4× | 101 0.7× | 24 0.3× | 94 | 864 | ||
| Lars Vicum Switzerland | 9 | 492 1.1× | 143 0.7× | 83 0.5× | 107 0.7× | 15 0.2× | 10 | 650 | ||
| Qiuxiang Yin China | 15 | 408 0.9× | 82 0.4× | 81 0.5× | 110 0.8× | 16 0.2× | 51 | 587 | ||
| Aristides P. Carneiro Portugal | 11 | 183 0.4× | 230 1.1× | 163 0.9× | 89 0.6× | 95 1.0× | 11 | 498 | ||
| Hô Nam‐Trân Switzerland | 11 | 267 0.6× | 100 0.5× | 96 0.6× | 161 1.1× | 123 1.3× | 14 | 566 | ||
| Christian Lindenberg Switzerland | 10 | 543 1.2× | 143 0.7× | 94 0.5× | 127 0.9× | 10 0.1× | 11 | 679 | ||
| Feelly Tumakaka Germany | 12 | 429 1.0× | 751 3.6× | 163 0.9× | 164 1.1× | 493 5.4× | 15 | 1.1k | ||
| Mohd Rushdi Abu Bakar Malaysia | 12 | 466 1.0× | 112 0.5× | 85 0.5× | 173 1.2× | 8 0.1× | 29 | 640 | ||
| Liangcheng Song China | 11 | 318 0.7× | 83 0.4× | 109 0.6× | 93 0.6× | 13 0.1× | 22 | 384 |
Countries citing papers authored by Feelly Ruether
This map shows the geographic impact of Feelly Ruether'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 Feelly Ruether with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feelly Ruether more than expected).
Fields of papers citing papers by Feelly Ruether
This network shows the impact of papers produced by Feelly Ruether. 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 Feelly Ruether. The network helps show where Feelly Ruether may publish in the future.
Co-authorship network of co-authors of Feelly Ruether
This figure shows the co-authorship network connecting the top 25 collaborators of Feelly Ruether. A scholar is included among the top collaborators of Feelly Ruether 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 Feelly Ruether. Feelly Ruether 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.