Marie Valdés-Dapena
About
In The Last Decade
Marie Valdés-Dapena
56 papers receiving 1.7k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marie Valdés-Dapena United States | 22 | 1.1k | 424 | 360 | 324 | 285 | 56 | 1.9k | ||
| Aurore Côté Canada | 15 | 612 0.5× | 223 0.5× | 401 1.1× | 82 0.3× | 116 0.4× | 45 | 956 | ||
| Stéphane Dauger France | 24 | 760 0.7× | 205 0.5× | 815 2.3× | 103 0.3× | 154 0.5× | 119 | 1.7k | ||
| A J Barson United Kingdom | 25 | 363 0.3× | 310 0.7× | 338 0.9× | 89 0.3× | 60 0.2× | 70 | 1.6k | ||
| Lesley Carmichael Canada | 24 | 471 0.4× | 1.4k 3.3× | 739 2.1× | 112 0.3× | 55 0.2× | 65 | 1.9k | ||
| J. L. Emery United Kingdom | 29 | 519 0.5× | 608 1.4× | 947 2.6× | 162 0.5× | 237 0.8× | 110 | 2.8k | ||
| Carl Wood Australia | 39 | 174 0.2× | 2.0k 4.7× | 522 1.4× | 166 0.5× | 88 0.3× | 193 | 5.4k | ||
| John Lind Sweden | 26 | 382 0.3× | 680 1.6× | 928 2.6× | 150 0.5× | 74 0.3× | 85 | 1.9k | ||
| Yakov Sivan Israel | 26 | 767 0.7× | 236 0.6× | 1.0k 2.9× | 57 0.2× | 87 0.3× | 98 | 2.1k | ||
| J. Lind Sweden | 23 | 200 0.2× | 373 0.9× | 466 1.3× | 154 0.5× | 35 0.1× | 72 | 1.5k | ||
| K Riegel Germany | 21 | 250 0.2× | 487 1.1× | 486 1.4× | 47 0.1× | 33 0.1× | 88 | 1.4k |
Countries citing papers authored by Marie Valdés-Dapena
This map shows the geographic impact of Marie Valdés-Dapena'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 Marie Valdés-Dapena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Valdés-Dapena more than expected).
Fields of papers citing papers by Marie Valdés-Dapena
This network shows the impact of papers produced by Marie Valdés-Dapena. 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 Marie Valdés-Dapena. The network helps show where Marie Valdés-Dapena may publish in the future.
Co-authorship network of co-authors of Marie Valdés-Dapena
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Valdés-Dapena. A scholar is included among the top collaborators of Marie Valdés-Dapena 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 Marie Valdés-Dapena. Marie Valdés-Dapena 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.