Natalie Slawinski
About
In The Last Decade
Natalie Slawinski
26 papers receiving 1.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Natalie Slawinski Canada | 12 | 952 | 670 | 511 | 271 | 153 | 26 | 1.7k | ||
| Frank Wijen Netherlands | 13 | 969 1.0× | 567 0.8× | 409 0.8× | 269 1.0× | 107 0.7× | 34 | 1.6k | ||
| Dror Etzion Canada | 14 | 1.2k 1.3× | 819 1.2× | 534 1.0× | 348 1.3× | 176 1.2× | 37 | 2.2k | ||
| Suzanne Benn Australia | 23 | 1.2k 1.3× | 877 1.3× | 493 1.0× | 235 0.9× | 175 1.1× | 65 | 2.2k | ||
| Sooksan Kantabutra Thailand | 24 | 865 0.9× | 532 0.8× | 542 1.1× | 137 0.5× | 81 0.5× | 68 | 1.5k | ||
| Sybille Sachs Switzerland | 14 | 1.2k 1.2× | 539 0.8× | 448 0.9× | 229 0.8× | 94 0.6× | 39 | 1.8k | ||
| Kate Kearins New Zealand | 26 | 910 1.0× | 726 1.1× | 560 1.1× | 298 1.1× | 116 0.8× | 60 | 2.1k | ||
| Daniel Arenas Spain | 19 | 1.3k 1.3× | 668 1.0× | 480 0.9× | 309 1.1× | 53 0.3× | 55 | 1.9k | ||
| Patrocinio Zaragoza‐Sáez Spain | 21 | 932 1.0× | 615 0.9× | 338 0.7× | 292 1.1× | 75 0.5× | 61 | 1.7k | ||
| Qasim Ali Nisar Pakistan | 22 | 746 0.8× | 936 1.4× | 418 0.8× | 398 1.5× | 87 0.6× | 90 | 2.2k | ||
| Mehdi Bagherzadeh France | 16 | 709 0.7× | 405 0.6× | 274 0.5× | 280 1.0× | 95 0.6× | 27 | 1.5k |
Countries citing papers authored by Natalie Slawinski
This map shows the geographic impact of Natalie Slawinski'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 Natalie Slawinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Slawinski more than expected).
Fields of papers citing papers by Natalie Slawinski
This network shows the impact of papers produced by Natalie Slawinski. 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 Natalie Slawinski. The network helps show where Natalie Slawinski may publish in the future.
Co-authorship network of co-authors of Natalie Slawinski
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Slawinski. A scholar is included among the top collaborators of Natalie Slawinski 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 Natalie Slawinski. Natalie Slawinski 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.