Virginia Martín
About
In The Last Decade
Virginia Martín
42 papers receiving 2.2k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Virginia Martín Spain | 21 | 1.1k | 991 | 714 | 565 | 217 | 42 | 2.3k | ||
| Jalil Benyacoub Switzerland | 30 | 1.1k 1.0× | 695 0.7× | 650 0.9× | 439 0.8× | 95 0.4× | 52 | 2.6k | ||
| Anne Donnet‐Hughes Switzerland | 16 | 1.1k 0.9× | 1.0k 1.0× | 906 1.3× | 317 0.6× | 101 0.5× | 22 | 2.3k | ||
| Akira Kushiro Japan | 24 | 1.4k 1.3× | 463 0.5× | 640 0.9× | 238 0.4× | 54 0.2× | 39 | 2.2k | ||
| L.M.J. Knippels Netherlands | 38 | 1.3k 1.1× | 862 0.9× | 714 1.0× | 238 0.4× | 60 0.3× | 116 | 4.2k | ||
| David C. Dallas United States | 30 | 1.7k 1.5× | 1.5k 1.6× | 816 1.1× | 581 1.0× | 90 0.4× | 97 | 3.0k | ||
| María Elisa Pérez-Muñoz Canada | 15 | 1.5k 1.3× | 524 0.5× | 659 0.9× | 181 0.3× | 51 0.2× | 23 | 2.2k | ||
| Božena Cukrowská Poland | 26 | 929 0.8× | 351 0.4× | 577 0.8× | 286 0.5× | 31 0.1× | 103 | 2.5k | ||
| Reet Mändar Estonia | 27 | 868 0.8× | 365 0.4× | 674 0.9× | 392 0.7× | 71 0.3× | 87 | 2.7k | ||
| Daniel B. DiGiulio United States | 13 | 2.6k 2.2× | 780 0.8× | 549 0.8× | 1.6k 2.8× | 60 0.3× | 14 | 4.8k | ||
| Remo Frei Switzerland | 30 | 1.1k 1.0× | 298 0.3× | 405 0.6× | 194 0.3× | 59 0.3× | 58 | 3.1k |
Countries citing papers authored by Virginia Martín
This map shows the geographic impact of Virginia Martín'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 Virginia Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Martín more than expected).
Fields of papers citing papers by Virginia Martín
This network shows the impact of papers produced by Virginia Martín. 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 Virginia Martín. The network helps show where Virginia Martín may publish in the future.
Co-authorship network of co-authors of Virginia Martín
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Martín. A scholar is included among the top collaborators of Virginia Martín 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 Virginia Martín. Virginia Martín 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.