Waldemar Swiercz
About
In The Last Decade
Waldemar Swiercz
12 papers receiving 717 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Waldemar Swiercz United States | 10 | 507 | 264 | 228 | 200 | 110 | 12 | 734 | ||
| Sonya B. Dumanis United States | 18 | 298 0.6× | 341 1.3× | 361 1.6× | 225 1.1× | 69 0.6× | 31 | 1.1k | ||
| Marc Goodfellow United Kingdom | 22 | 378 0.7× | 244 0.9× | 1.1k 4.9× | 189 0.9× | 61 0.6× | 55 | 1.5k | ||
| Ivan Soltesz United States | 6 | 560 1.1× | 164 0.6× | 323 1.4× | 248 1.2× | 65 0.6× | 6 | 715 | ||
| M. Berg United States | 6 | 287 0.6× | 231 0.9× | 117 0.5× | 251 1.3× | 190 1.7× | 11 | 664 | ||
| Tianfu Li China | 19 | 345 0.7× | 283 1.1× | 194 0.9× | 161 0.8× | 123 1.1× | 72 | 1.0k | ||
| Guoming Luan China | 15 | 209 0.4× | 218 0.8× | 238 1.0× | 71 0.4× | 101 0.9× | 70 | 767 | ||
| Marjolein de Groot Netherlands | 9 | 264 0.5× | 246 0.9× | 231 1.0× | 146 0.7× | 89 0.8× | 9 | 686 | ||
| Levi B. Good United States | 15 | 410 0.8× | 114 0.4× | 226 1.0× | 313 1.6× | 54 0.5× | 23 | 1.0k | ||
| J. Parra Netherlands | 12 | 396 0.8× | 319 1.2× | 659 2.9× | 125 0.6× | 51 0.5× | 24 | 1.2k | ||
| Francisco Sales Portugal | 16 | 198 0.4× | 476 1.8× | 714 3.1× | 74 0.4× | 158 1.4× | 65 | 1.1k |
Countries citing papers authored by Waldemar Swiercz
This map shows the geographic impact of Waldemar Swiercz'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 Waldemar Swiercz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waldemar Swiercz more than expected).
Fields of papers citing papers by Waldemar Swiercz
This network shows the impact of papers produced by Waldemar Swiercz. 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 Waldemar Swiercz. The network helps show where Waldemar Swiercz may publish in the future.
Co-authorship network of co-authors of Waldemar Swiercz
This figure shows the co-authorship network connecting the top 25 collaborators of Waldemar Swiercz. A scholar is included among the top collaborators of Waldemar Swiercz 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 Waldemar Swiercz. Waldemar Swiercz 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.