Martín Garaycoechea
About
In The Last Decade
Martín Garaycoechea
10 papers receiving 433 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Martín Garaycoechea Argentina | 8 | 344 | 165 | 159 | 87 | 82 | 11 | 438 | ||
| Erika Paolini Italy | 10 | 263 0.8× | 130 0.8× | 101 0.6× | 74 0.9× | 72 0.9× | 27 | 407 | ||
| Natsuko Hada Japan | 5 | 301 0.9× | 125 0.8× | 105 0.7× | 54 0.6× | 36 0.4× | 6 | 419 | ||
| Monique Allman United States | 6 | 566 1.6× | 243 1.5× | 166 1.0× | 59 0.7× | 161 2.0× | 6 | 707 | ||
| Prachi Hote United States | 5 | 232 0.7× | 172 1.0× | 72 0.5× | 42 0.5× | 49 0.6× | 6 | 433 | ||
| Pengbo Wu China | 9 | 311 0.9× | 231 1.4× | 90 0.6× | 49 0.6× | 115 1.4× | 22 | 473 | ||
| Francesco Gorreta United States | 6 | 225 0.7× | 107 0.6× | 89 0.6× | 65 0.7× | 30 0.4× | 6 | 304 | ||
| Ramchandra Ranvir India | 8 | 221 0.6× | 156 0.9× | 129 0.8× | 32 0.4× | 49 0.6× | 18 | 388 | ||
| Michaela Mueller Austria | 6 | 310 0.9× | 148 0.9× | 86 0.5× | 38 0.4× | 89 1.1× | 9 | 507 | ||
| Yoshiyuki Sakamaki Japan | 4 | 292 0.8× | 172 1.0× | 101 0.6× | 54 0.6× | 35 0.4× | 6 | 487 | ||
| Christina‐Maria Flessa Greece | 7 | 202 0.6× | 84 0.5× | 72 0.5× | 54 0.6× | 77 0.9× | 11 | 319 |
Countries citing papers authored by Martín Garaycoechea
This map shows the geographic impact of Martín Garaycoechea'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 Martín Garaycoechea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Garaycoechea more than expected).
Fields of papers citing papers by Martín Garaycoechea
This network shows the impact of papers produced by Martín Garaycoechea. 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 Martín Garaycoechea. The network helps show where Martín Garaycoechea may publish in the future.
Co-authorship network of co-authors of Martín Garaycoechea
This figure shows the co-authorship network connecting the top 25 collaborators of Martín Garaycoechea. A scholar is included among the top collaborators of Martín Garaycoechea 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 Martín Garaycoechea. Martín Garaycoechea 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.