Nathalie Barbier
About
In The Last Decade
Nathalie Barbier
18 papers receiving 788 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Nathalie Barbier Switzerland | 11 | 748 | 627 | 145 | 63 | 52 | 19 | 832 | ||
| Eileen Jaracz United States | 14 | 681 0.9× | 537 0.9× | 77 0.5× | 41 0.7× | 105 2.0× | 16 | 756 | ||
| May E. Venturanza United States | 9 | 382 0.5× | 302 0.5× | 89 0.6× | 95 1.5× | 15 0.3× | 33 | 453 | ||
| Bridget Kaufman United States | 6 | 373 0.5× | 177 0.3× | 77 0.5× | 45 0.7× | 25 0.5× | 15 | 445 | ||
| Murlidhar Rajagopalan India | 11 | 452 0.6× | 100 0.2× | 49 0.3× | 109 1.7× | 84 1.6× | 20 | 617 | ||
| Robin Graham‐Brown United Kingdom | 11 | 321 0.4× | 164 0.3× | 71 0.5× | 25 0.4× | 60 1.2× | 26 | 495 | ||
| Yuka Asai Canada | 13 | 231 0.3× | 309 0.5× | 100 0.7× | 18 0.3× | 51 1.0× | 43 | 579 | ||
| José Carlos Armario Hita Spain | 13 | 307 0.4× | 149 0.2× | 112 0.8× | 78 1.2× | 15 0.3× | 55 | 405 | ||
| Hany Elmaraghy United States | 9 | 315 0.4× | 118 0.2× | 82 0.6× | 66 1.0× | 17 0.3× | 30 | 419 | ||
| Parbeer Grewal Canada | 10 | 184 0.2× | 93 0.1× | 56 0.4× | 38 0.6× | 34 0.7× | 22 | 263 | ||
| Tuấn Anh Lê Japan | 6 | 263 0.4× | 199 0.3× | 129 0.9× | 35 0.6× | 13 0.3× | 13 | 341 |
Countries citing papers authored by Nathalie Barbier
This map shows the geographic impact of Nathalie Barbier'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 Nathalie Barbier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Barbier more than expected).
Fields of papers citing papers by Nathalie Barbier
This network shows the impact of papers produced by Nathalie Barbier. 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 Nathalie Barbier. The network helps show where Nathalie Barbier may publish in the future.
Co-authorship network of co-authors of Nathalie Barbier
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Barbier. A scholar is included among the top collaborators of Nathalie Barbier 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 Nathalie Barbier. Nathalie Barbier 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.