Pía Riestra
About
In The Last Decade
Pía Riestra
28 papers receiving 464 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Pía Riestra United States | 16 | 204 | 154 | 121 | 92 | 70 | 28 | 470 | ||
| Michael Schaab Germany | 12 | 158 0.8× | 176 1.1× | 164 1.4× | 84 0.9× | 39 0.6× | 18 | 599 | ||
| Nikki C. Bush United States | 16 | 302 1.5× | 175 1.1× | 46 0.4× | 158 1.7× | 85 1.2× | 24 | 614 | ||
| Junling Fu China | 15 | 200 1.0× | 103 0.7× | 46 0.4× | 103 1.1× | 69 1.0× | 44 | 551 | ||
| RE Pratley United States | 4 | 265 1.3× | 146 0.9× | 61 0.5× | 93 1.0× | 48 0.7× | 7 | 665 | ||
| L. Geetha India | 8 | 117 0.6× | 73 0.5× | 98 0.8× | 122 1.3× | 66 0.9× | 15 | 446 | ||
| Jarmila Křížová Czechia | 12 | 196 1.0× | 164 1.1× | 154 1.3× | 34 0.4× | 97 1.4× | 26 | 536 | ||
| Chensihan Huang China | 8 | 366 1.8× | 78 0.5× | 160 1.3× | 73 0.8× | 29 0.4× | 16 | 527 | ||
| Fereshteh Yazdi Canada | 6 | 173 0.8× | 67 0.4× | 89 0.7× | 79 0.9× | 43 0.6× | 9 | 627 | ||
| Merit Lagerpusch Germany | 14 | 685 3.4× | 134 0.9× | 103 0.9× | 244 2.7× | 107 1.5× | 17 | 918 | ||
| Elvira Duran United States | 9 | 110 0.5× | 61 0.4× | 62 0.5× | 104 1.1× | 20 0.3× | 9 | 356 |
Countries citing papers authored by Pía Riestra
This map shows the geographic impact of Pía Riestra'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 Pía Riestra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pía Riestra more than expected).
Fields of papers citing papers by Pía Riestra
This network shows the impact of papers produced by Pía Riestra. 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 Pía Riestra. The network helps show where Pía Riestra may publish in the future.
Co-authorship network of co-authors of Pía Riestra
This figure shows the co-authorship network connecting the top 25 collaborators of Pía Riestra. A scholar is included among the top collaborators of Pía Riestra 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 Pía Riestra. Pía Riestra 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.