Šárka Pavlová
About
In The Last Decade
Šárka Pavlová
40 papers receiving 846 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Šárka Pavlová Czechia | 15 | 443 | 342 | 258 | 190 | 176 | 42 | 854 | ||
| Simona Tavolaro Italy | 16 | 401 0.9× | 384 1.1× | 141 0.5× | 282 1.5× | 221 1.3× | 31 | 820 | ||
| Maher Albitar United States | 14 | 321 0.7× | 287 0.8× | 213 0.8× | 197 1.0× | 126 0.7× | 48 | 783 | ||
| Michela Frenquelli Italy | 13 | 367 0.8× | 300 0.9× | 88 0.3× | 173 0.9× | 260 1.5× | 19 | 720 | ||
| Xiangao Huang United States | 12 | 401 0.9× | 325 1.0× | 382 1.5× | 311 1.6× | 159 0.9× | 40 | 873 | ||
| Kathleen J. Till United Kingdom | 15 | 434 1.0× | 504 1.5× | 215 0.8× | 221 1.2× | 329 1.9× | 24 | 884 | ||
| Larry Mansouri Sweden | 19 | 394 0.9× | 591 1.7× | 170 0.7× | 397 2.1× | 307 1.7× | 37 | 944 | ||
| Archito T. Tamayo United States | 16 | 631 1.4× | 246 0.7× | 412 1.6× | 393 2.1× | 413 2.3× | 34 | 1.2k | ||
| Charis E. Teh Australia | 16 | 428 1.0× | 234 0.7× | 190 0.7× | 164 0.9× | 404 2.3× | 34 | 946 | ||
| Anna Dolnik Germany | 15 | 564 1.3× | 190 0.6× | 151 0.6× | 122 0.6× | 89 0.5× | 39 | 900 | ||
| Frédéric Gilles United States | 12 | 375 0.8× | 202 0.6× | 300 1.2× | 353 1.9× | 81 0.5× | 21 | 753 |
Countries citing papers authored by Šárka Pavlová
This map shows the geographic impact of Šárka Pavlová'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 Šárka Pavlová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Šárka Pavlová more than expected).
Fields of papers citing papers by Šárka Pavlová
This network shows the impact of papers produced by Šárka Pavlová. 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 Šárka Pavlová. The network helps show where Šárka Pavlová may publish in the future.
Co-authorship network of co-authors of Šárka Pavlová
This figure shows the co-authorship network connecting the top 25 collaborators of Šárka Pavlová. A scholar is included among the top collaborators of Šárka Pavlová 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 Šárka Pavlová. Šárka Pavlová 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.