Rafael Maia
About
In The Last Decade
Rafael Maia
34 papers receiving 1.9k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Rafael Maia United States | 21 | 1.4k | 514 | 372 | 329 | 175 | 35 | 1.9k | ||
| Mary Caswell Stoddard United States | 24 | 1.6k 1.1× | 936 1.8× | 234 0.6× | 269 0.8× | 213 1.2× | 48 | 2.2k | ||
| John Skelhorn United Kingdom | 29 | 1.7k 1.2× | 367 0.7× | 338 0.9× | 555 1.7× | 159 0.9× | 55 | 2.1k | ||
| Anders Ödeen Sweden | 21 | 1.1k 0.8× | 574 1.1× | 283 0.8× | 300 0.9× | 163 0.9× | 36 | 1.6k | ||
| Jolyon Troscianko United Kingdom | 26 | 1.5k 1.1× | 801 1.6× | 380 1.0× | 302 0.9× | 188 1.1× | 74 | 2.3k | ||
| Andrew M. Stoehr United States | 19 | 1.3k 0.9× | 662 1.3× | 212 0.6× | 502 1.5× | 121 0.7× | 31 | 2.0k | ||
| Joel W. McGlothlin United States | 26 | 2.0k 1.4× | 851 1.7× | 392 1.1× | 789 2.4× | 162 0.9× | 43 | 2.6k | ||
| Marc Théry France | 28 | 2.0k 1.4× | 798 1.6× | 709 1.9× | 489 1.5× | 291 1.7× | 63 | 2.6k | ||
| Tom N. Sherratt Canada | 13 | 1.1k 0.8× | 296 0.6× | 264 0.7× | 425 1.3× | 148 0.8× | 28 | 1.4k | ||
| Chad M. Eliason United States | 17 | 773 0.6× | 298 0.6× | 205 0.6× | 231 0.7× | 138 0.8× | 37 | 1.3k | ||
| Sharlene E. Santana United States | 23 | 1.3k 1.0× | 705 1.4× | 248 0.7× | 234 0.7× | 150 0.9× | 74 | 2.1k |
Countries citing papers authored by Rafael Maia
This map shows the geographic impact of Rafael Maia'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 Rafael Maia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Maia more than expected).
Fields of papers citing papers by Rafael Maia
This network shows the impact of papers produced by Rafael Maia. 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 Rafael Maia. The network helps show where Rafael Maia may publish in the future.
Co-authorship network of co-authors of Rafael Maia
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Maia. A scholar is included among the top collaborators of Rafael Maia 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 Rafael Maia. Rafael Maia 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.