Mayela Rivero
About
In The Last Decade
Mayela Rivero
16 papers receiving 490 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mayela Rivero Australia | 9 | 236 | 170 | 156 | 115 | 111 | 17 | 501 | ||
| Mingzhong Li China | 17 | 73 0.3× | 181 1.1× | 336 2.2× | 96 0.8× | 211 1.9× | 77 | 703 | ||
| Toru Iwasaki Japan | 9 | 87 0.4× | 72 0.4× | 242 1.6× | 48 0.4× | 380 3.4× | 17 | 624 | ||
| S.M. Masutani United States | 11 | 171 0.7× | 43 0.3× | 114 0.7× | 73 0.6× | 70 0.6× | 32 | 409 | ||
| Michael Volk United States | 17 | 55 0.2× | 369 2.2× | 84 0.5× | 107 0.9× | 64 0.6× | 46 | 800 | ||
| P. Vainshtein Israel | 15 | 254 1.1× | 154 0.9× | 22 0.1× | 204 1.8× | 122 1.1× | 44 | 584 | ||
| А. А. Губайдуллин Russia | 11 | 127 0.5× | 72 0.4× | 69 0.4× | 56 0.5× | 72 0.6× | 69 | 329 | ||
| Eilis Rosenbaum United States | 10 | 45 0.2× | 221 1.3× | 200 1.3× | 36 0.3× | 55 0.5× | 24 | 586 | ||
| Halvor Lund Norway | 15 | 146 0.6× | 112 0.7× | 16 0.1× | 207 1.8× | 62 0.6× | 25 | 549 | ||
| Douglas Bohl United States | 14 | 463 2.0× | 57 0.3× | 33 0.2× | 53 0.5× | 399 3.6× | 46 | 707 | ||
| J.S. Truelove Australia | 17 | 612 2.6× | 108 0.6× | 34 0.2× | 285 2.5× | 132 1.2× | 35 | 966 |
Countries citing papers authored by Mayela Rivero
This map shows the geographic impact of Mayela Rivero'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 Mayela Rivero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayela Rivero more than expected).
Fields of papers citing papers by Mayela Rivero
This network shows the impact of papers produced by Mayela Rivero. 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 Mayela Rivero. The network helps show where Mayela Rivero may publish in the future.
Co-authorship network of co-authors of Mayela Rivero
This figure shows the co-authorship network connecting the top 25 collaborators of Mayela Rivero. A scholar is included among the top collaborators of Mayela Rivero 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 Mayela Rivero. Mayela Rivero 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.