Marion Pardons
About
In The Last Decade
Marion Pardons
13 papers receiving 501 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marion Pardons United States | 10 | 442 | 229 | 228 | 99 | 90 | 13 | 502 | ||
| Bonnie Hiener Australia | 9 | 468 1.1× | 220 1.0× | 277 1.2× | 74 0.7× | 113 1.3× | 15 | 525 | ||
| Eunok Lee Australia | 8 | 454 1.0× | 191 0.8× | 325 1.4× | 96 1.0× | 97 1.1× | 9 | 530 | ||
| Nirmin Alsahafi Canada | 13 | 507 1.1× | 314 1.4× | 230 1.0× | 89 0.9× | 117 1.3× | 13 | 584 | ||
| Elizabeth Fyne United States | 7 | 444 1.0× | 152 0.7× | 324 1.4× | 124 1.3× | 82 0.9× | 8 | 532 | ||
| So Youn Shin South Korea | 8 | 337 0.8× | 298 1.3× | 161 0.7× | 52 0.5× | 112 1.2× | 21 | 487 | ||
| April L. Ferre United States | 10 | 496 1.1× | 405 1.8× | 209 0.9× | 73 0.7× | 103 1.1× | 12 | 609 | ||
| Eva Malatinková Belgium | 11 | 349 0.8× | 116 0.5× | 256 1.1× | 107 1.1× | 71 0.8× | 23 | 476 | ||
| Talia M. Mota United States | 11 | 336 0.8× | 183 0.8× | 202 0.9× | 74 0.7× | 74 0.8× | 23 | 420 | ||
| Daniëlle van Manen Netherlands | 10 | 307 0.7× | 190 0.8× | 162 0.7× | 101 1.0× | 94 1.0× | 16 | 423 | ||
| Michael J. Bale United States | 13 | 472 1.1× | 159 0.7× | 353 1.5× | 82 0.8× | 111 1.2× | 26 | 559 |
Countries citing papers authored by Marion Pardons
This map shows the geographic impact of Marion Pardons'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 Marion Pardons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Pardons more than expected).
Fields of papers citing papers by Marion Pardons
This network shows the impact of papers produced by Marion Pardons. 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 Marion Pardons. The network helps show where Marion Pardons may publish in the future.
Co-authorship network of co-authors of Marion Pardons
This figure shows the co-authorship network connecting the top 25 collaborators of Marion Pardons. A scholar is included among the top collaborators of Marion Pardons 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 Marion Pardons. Marion Pardons 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.