Wioletta Pękala
About
In The Last Decade
Wioletta Pękala
15 papers receiving 674 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wioletta Pękala Poland | 11 | 505 | 230 | 192 | 164 | 95 | 15 | 689 | ||
| Helena Zientek Poland | 11 | 518 1.0× | 218 0.9× | 190 1.0× | 212 1.3× | 105 1.1× | 15 | 690 | ||
| Alfons Meindl Germany | 12 | 459 0.9× | 146 0.6× | 224 1.2× | 317 1.9× | 80 0.8× | 17 | 769 | ||
| K. J. Cullen United States | 7 | 360 0.7× | 157 0.7× | 241 1.3× | 159 1.0× | 42 0.4× | 7 | 622 | ||
| Maria Stella Pennisi Italy | 14 | 294 0.6× | 136 0.6× | 187 1.0× | 58 0.4× | 91 1.0× | 34 | 798 | ||
| Anna Berg Norway | 16 | 287 0.6× | 150 0.7× | 167 0.9× | 88 0.5× | 83 0.9× | 21 | 683 | ||
| Maureen Sadim United States | 13 | 420 0.8× | 200 0.9× | 274 1.4× | 85 0.5× | 114 1.2× | 18 | 764 | ||
| Saradhi Mallampati United States | 14 | 275 0.5× | 81 0.4× | 155 0.8× | 110 0.7× | 34 0.4× | 34 | 592 | ||
| Cristina Bilbao Spain | 12 | 203 0.4× | 94 0.4× | 101 0.5× | 79 0.5× | 91 1.0× | 31 | 456 | ||
| Tamara Aleksic United Kingdom | 15 | 454 0.9× | 219 1.0× | 245 1.3× | 62 0.4× | 50 0.5× | 18 | 786 | ||
| Federica Torricelli Italy | 18 | 471 0.9× | 212 0.9× | 208 1.1× | 137 0.8× | 64 0.7× | 80 | 1.0k |
Countries citing papers authored by Wioletta Pękala
This map shows the geographic impact of Wioletta Pękala'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 Wioletta Pękala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wioletta Pękala more than expected).
Fields of papers citing papers by Wioletta Pękala
This network shows the impact of papers produced by Wioletta Pękala. 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 Wioletta Pękala. The network helps show where Wioletta Pękala may publish in the future.
Co-authorship network of co-authors of Wioletta Pękala
This figure shows the co-authorship network connecting the top 25 collaborators of Wioletta Pękala. A scholar is included among the top collaborators of Wioletta Pękala 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 Wioletta Pękala. Wioletta Pękala 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.