Maryline Laude-Sharp
About
In The Last Decade
Maryline Laude-Sharp
8 papers receiving 941 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maryline Laude-Sharp France | 7 | 253 | 195 | 177 | 135 | 124 | 8 | 969 | ||
| Irma Casas Spain | 16 | 329 1.3× | 97 0.5× | 309 1.7× | 84 0.6× | 89 0.7× | 84 | 1.0k | ||
| André Moreno Morcillo Brazil | 20 | 303 1.2× | 227 1.2× | 200 1.1× | 192 1.4× | 89 0.7× | 127 | 1.4k | ||
| Jill E. Weatherhead United States | 18 | 91 0.4× | 107 0.5× | 268 1.5× | 147 1.1× | 70 0.6× | 46 | 1.2k | ||
| Vic Larcher United Kingdom | 23 | 155 0.6× | 236 1.2× | 99 0.6× | 290 2.1× | 96 0.8× | 64 | 1.3k | ||
| Prem Chopra India | 23 | 313 1.2× | 112 0.6× | 226 1.3× | 271 2.0× | 96 0.8× | 152 | 1.9k | ||
| Karen Kelley United States | 12 | 599 2.4× | 153 0.8× | 305 1.7× | 48 0.4× | 49 0.4× | 33 | 1.1k | ||
| Carlos Antônio de Souza Teles Santos Brazil | 16 | 257 1.0× | 182 0.9× | 126 0.7× | 370 2.7× | 46 0.4× | 64 | 1.5k | ||
| Bareng A. S. Nonyane United States | 25 | 698 2.8× | 191 1.0× | 447 2.5× | 110 0.8× | 67 0.5× | 82 | 1.7k | ||
| Maarit Wuorela Finland | 13 | 221 0.9× | 119 0.6× | 263 1.5× | 24 0.2× | 89 0.7× | 29 | 788 | ||
| Richard Fordham United Kingdom | 21 | 254 1.0× | 265 1.4× | 72 0.4× | 106 0.8× | 20 0.2× | 61 | 1.2k |
Countries citing papers authored by Maryline Laude-Sharp
This map shows the geographic impact of Maryline Laude-Sharp'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 Maryline Laude-Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryline Laude-Sharp more than expected).
Fields of papers citing papers by Maryline Laude-Sharp
This network shows the impact of papers produced by Maryline Laude-Sharp. 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 Maryline Laude-Sharp. The network helps show where Maryline Laude-Sharp may publish in the future.
Co-authorship network of co-authors of Maryline Laude-Sharp
This figure shows the co-authorship network connecting the top 25 collaborators of Maryline Laude-Sharp. A scholar is included among the top collaborators of Maryline Laude-Sharp 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 Maryline Laude-Sharp. Maryline Laude-Sharp 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.