Marisa Galvan
About
In The Last Decade
Marisa Galvan
8 papers receiving 1.0k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marisa Galvan United States | 8 | 938 | 477 | 169 | 96 | 67 | 8 | 1.0k | ||
| Nadine Barnes Australia | 10 | 458 0.5× | 354 0.7× | 52 0.3× | 54 0.6× | 35 0.5× | 12 | 745 | ||
| Marina Ostankovitch France | 14 | 432 0.5× | 286 0.6× | 151 0.9× | 56 0.6× | 57 0.9× | 18 | 600 | ||
| Andrei Sulica United States | 17 | 550 0.6× | 301 0.6× | 75 0.4× | 45 0.5× | 68 1.0× | 45 | 860 | ||
| Daniela Werth Germany | 9 | 338 0.4× | 246 0.5× | 221 1.3× | 55 0.6× | 63 0.9× | 12 | 659 | ||
| Hanna Dreja United Kingdom | 13 | 438 0.5× | 399 0.8× | 143 0.8× | 66 0.7× | 21 0.3× | 24 | 818 | ||
| Mohey Eldin El Shikh United States | 15 | 484 0.5× | 174 0.4× | 117 0.7× | 42 0.4× | 49 0.7× | 24 | 767 | ||
| Myles Dillon United States | 11 | 292 0.3× | 408 0.9× | 136 0.8× | 101 1.1× | 139 2.1× | 16 | 723 | ||
| Carole Kurahara United States | 10 | 390 0.4× | 180 0.4× | 127 0.8× | 64 0.7× | 24 0.4× | 12 | 682 | ||
| A M Kruisbeek United States | 17 | 750 0.8× | 120 0.3× | 131 0.8× | 45 0.5× | 36 0.5× | 26 | 903 | ||
| Mark J. McCarron United States | 9 | 497 0.5× | 271 0.6× | 138 0.8× | 59 0.6× | 61 0.9× | 11 | 765 |
Countries citing papers authored by Marisa Galvan
This map shows the geographic impact of Marisa Galvan'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 Marisa Galvan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisa Galvan more than expected).
Fields of papers citing papers by Marisa Galvan
This network shows the impact of papers produced by Marisa Galvan. 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 Marisa Galvan. The network helps show where Marisa Galvan may publish in the future.
Co-authorship network of co-authors of Marisa Galvan
This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Galvan. A scholar is included among the top collaborators of Marisa Galvan 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 Marisa Galvan. Marisa Galvan 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.