Nathalie Barth
About
In The Last Decade
Nathalie Barth
29 papers receiving 430 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 Barth France | 10 | 142 | 108 | 102 | 100 | 55 | 35 | 446 | ||
| Jessica Guyot France | 6 | 127 0.9× | 89 0.8× | 63 0.6× | 81 0.8× | 37 0.7× | 16 | 320 | ||
| Julie Faieta United States | 7 | 133 0.9× | 28 0.3× | 118 1.2× | 96 1.0× | 32 0.6× | 35 | 428 | ||
| Jayne Santos Leite Brazil | 10 | 128 0.9× | 62 0.6× | 60 0.6× | 50 0.5× | 34 0.6× | 35 | 305 | ||
| Dauda Salihu Nigeria | 12 | 174 1.2× | 61 0.6× | 174 1.7× | 42 0.4× | 52 0.9× | 33 | 427 | ||
| Geun Myun Kim South Korea | 12 | 162 1.1× | 40 0.4× | 132 1.3× | 46 0.5× | 34 0.6× | 47 | 458 | ||
| Borja Gutiérrez-Santamaría Spain | 3 | 199 1.4× | 180 1.7× | 109 1.1× | 21 0.2× | 62 1.1× | 9 | 424 | ||
| Lisa McGarrigle United Kingdom | 10 | 123 0.9× | 121 1.1× | 133 1.3× | 37 0.4× | 19 0.3× | 30 | 448 | ||
| María Antonia Parra-Rizo Spain | 10 | 70 0.5× | 120 1.1× | 88 0.9× | 67 0.7× | 83 1.5× | 33 | 357 | ||
| Gislaine Cristina Vagetti Brazil | 12 | 48 0.3× | 207 1.9× | 161 1.6× | 119 1.2× | 59 1.1× | 69 | 548 | ||
| Maria Célia de Freitas Brazil | 16 | 47 0.3× | 43 0.4× | 328 3.2× | 78 0.8× | 19 0.3× | 126 | 790 |
Countries citing papers authored by Nathalie Barth
This map shows the geographic impact of Nathalie Barth'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 Barth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Barth more than expected).
Fields of papers citing papers by Nathalie Barth
This network shows the impact of papers produced by Nathalie Barth. 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 Barth. The network helps show where Nathalie Barth may publish in the future.
Co-authorship network of co-authors of Nathalie Barth
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Barth. A scholar is included among the top collaborators of Nathalie Barth 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 Barth. Nathalie Barth 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.