María Saavedra-Campos
About
In The Last Decade
María Saavedra-Campos
15 papers receiving 813 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| María Saavedra-Campos United Kingdom | 9 | 662 | 176 | 129 | 119 | 104 | 17 | 840 | ||
| Jiehao Cai China | 12 | 724 1.1× | 125 0.7× | 166 1.3× | 187 1.6× | 43 0.4× | 26 | 944 | ||
| John Mair-Jenkins United Kingdom | 5 | 594 0.9× | 175 1.0× | 83 0.6× | 164 1.4× | 32 0.3× | 7 | 781 | ||
| Sabine Vygen-Bonnet Germany | 12 | 332 0.5× | 58 0.3× | 126 1.0× | 58 0.5× | 60 0.6× | 25 | 651 | ||
| Jonathan Nunez United States | 6 | 328 0.5× | 56 0.3× | 96 0.7× | 44 0.4× | 34 0.3× | 11 | 490 | ||
| Krutika Kuppalli United States | 9 | 530 0.8× | 97 0.6× | 177 1.4× | 21 0.2× | 196 1.9× | 16 | 825 | ||
| Farida Al Hosani United Arab Emirates | 11 | 418 0.6× | 89 0.5× | 65 0.5× | 19 0.2× | 79 0.8× | 18 | 591 | ||
| Ahmed Hakawi Saudi Arabia | 10 | 436 0.7× | 102 0.6× | 87 0.7× | 27 0.2× | 46 0.4× | 15 | 558 | ||
| Xiang Ma China | 12 | 336 0.5× | 67 0.4× | 245 1.9× | 85 0.7× | 58 0.6× | 47 | 674 | ||
| Rajiv Karthik India | 11 | 366 0.6× | 99 0.6× | 161 1.2× | 22 0.2× | 33 0.3× | 36 | 618 | ||
| Katherine A. Twohig United Kingdom | 8 | 555 0.8× | 67 0.4× | 80 0.6× | 23 0.2× | 192 1.8× | 17 | 855 |
Countries citing papers authored by María Saavedra-Campos
This map shows the geographic impact of María Saavedra-Campos'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 María Saavedra-Campos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Saavedra-Campos more than expected).
Fields of papers citing papers by María Saavedra-Campos
This network shows the impact of papers produced by María Saavedra-Campos. 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 María Saavedra-Campos. The network helps show where María Saavedra-Campos may publish in the future.
Co-authorship network of co-authors of María Saavedra-Campos
This figure shows the co-authorship network connecting the top 25 collaborators of María Saavedra-Campos. A scholar is included among the top collaborators of María Saavedra-Campos 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 María Saavedra-Campos. María Saavedra-Campos 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.