Nadia Gosselin
About
In The Last Decade
Nadia Gosselin
124 papers receiving 3.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nadia Gosselin Canada | 33 | 1.8k | 1.2k | 1.1k | 1.0k | 903 | 127 | 3.7k | ||
| Jean Paquet Canada | 34 | 1.8k 1.0× | 651 0.6× | 541 0.5× | 1.8k 1.8× | 1.2k 1.4× | 101 | 3.8k | ||
| Xavier Drouot France | 33 | 1.3k 0.7× | 296 0.3× | 1.2k 1.1× | 911 0.9× | 457 0.5× | 68 | 3.9k | ||
| Fabrizio De Carli Italy | 39 | 1.9k 1.0× | 396 0.3× | 664 0.6× | 864 0.9× | 376 0.4× | 104 | 3.9k | ||
| Trond Sand Norway | 44 | 1.1k 0.6× | 370 0.3× | 1.4k 1.2× | 729 0.7× | 594 0.7× | 212 | 6.4k | ||
| Mark W. Mahowald United States | 36 | 3.9k 2.1× | 1.8k 1.5× | 917 0.8× | 2.8k 2.8× | 1.3k 1.4× | 111 | 6.0k | ||
| Rochelle Zak United States | 27 | 1.8k 1.0× | 875 0.7× | 1.3k 1.2× | 1.5k 1.5× | 1.4k 1.5× | 56 | 3.8k | ||
| Louis De Beaumont Canada | 24 | 733 0.4× | 1.1k 1.0× | 285 0.3× | 282 0.3× | 160 0.2× | 88 | 2.3k | ||
| Mark R. Pressman United States | 21 | 1.3k 0.7× | 456 0.4× | 921 0.8× | 1.0k 1.0× | 712 0.8× | 45 | 2.5k | ||
| Brent E. Masel United States | 28 | 332 0.2× | 1.3k 1.1× | 349 0.3× | 245 0.2× | 311 0.3× | 62 | 3.2k | ||
| Dennis R. Bailey United States | 10 | 1.7k 0.9× | 417 0.4× | 2.5k 2.3× | 1.7k 1.7× | 1.9k 2.1× | 31 | 4.3k |
Countries citing papers authored by Nadia Gosselin
This map shows the geographic impact of Nadia Gosselin'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 Nadia Gosselin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Gosselin more than expected).
Fields of papers citing papers by Nadia Gosselin
This network shows the impact of papers produced by Nadia Gosselin. 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 Nadia Gosselin. The network helps show where Nadia Gosselin may publish in the future.
Co-authorship network of co-authors of Nadia Gosselin
This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Gosselin. A scholar is included among the top collaborators of Nadia Gosselin 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 Nadia Gosselin. Nadia Gosselin 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.