M. Saurwein-Teissl
About
In The Last Decade
M. Saurwein-Teissl
15 papers receiving 945 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| M. Saurwein-Teissl Austria | 12 | 538 | 294 | 209 | 189 | 145 | 15 | 964 | ||
| Amy Narvaez United States | 6 | 401 0.7× | 182 0.6× | 158 0.8× | 183 1.0× | 200 1.4× | 7 | 1.1k | ||
| Vali Kermani-Arab United States | 11 | 304 0.6× | 107 0.4× | 232 1.1× | 188 1.0× | 95 0.7× | 20 | 879 | ||
| P J Linton United States | 9 | 902 1.7× | 232 0.8× | 109 0.5× | 115 0.6× | 278 1.9× | 11 | 1.5k | ||
| B. Grubeck‐Loebenstein Austria | 20 | 678 1.3× | 237 0.8× | 536 2.6× | 419 2.2× | 290 2.0× | 42 | 1.7k | ||
| María Cecilia Rodriguez‐Galán Argentina | 15 | 271 0.5× | 154 0.5× | 59 0.3× | 128 0.7× | 217 1.5× | 35 | 698 | ||
| Luisa Möhle Germany | 13 | 870 1.6× | 105 0.4× | 202 1.0× | 133 0.7× | 392 2.7× | 19 | 1.5k | ||
| Michele Fuortes United States | 13 | 312 0.6× | 119 0.4× | 165 0.8× | 82 0.4× | 366 2.5× | 16 | 1.0k | ||
| Tim Traynor United States | 15 | 275 0.5× | 217 0.7× | 118 0.6× | 42 0.2× | 180 1.2× | 25 | 908 | ||
| Eugenio Antonio Carrera Silva Argentina | 20 | 864 1.6× | 299 1.0× | 185 0.9× | 75 0.4× | 265 1.8× | 49 | 1.5k | ||
| Barbara Angele Germany | 18 | 576 1.1× | 453 1.5× | 54 0.3× | 184 1.0× | 320 2.2× | 25 | 1.2k |
Countries citing papers authored by M. Saurwein-Teissl
This map shows the geographic impact of M. Saurwein-Teissl'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 M. Saurwein-Teissl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Saurwein-Teissl more than expected).
Fields of papers citing papers by M. Saurwein-Teissl
This network shows the impact of papers produced by M. Saurwein-Teissl. 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 M. Saurwein-Teissl. The network helps show where M. Saurwein-Teissl may publish in the future.
Co-authorship network of co-authors of M. Saurwein-Teissl
This figure shows the co-authorship network connecting the top 25 collaborators of M. Saurwein-Teissl. A scholar is included among the top collaborators of M. Saurwein-Teissl 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 M. Saurwein-Teissl. M. Saurwein-Teissl 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.