Mariana Matus
About
In The Last Decade
Mariana Matus
10 papers receiving 804 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mariana Matus United States | 9 | 683 | 367 | 143 | 112 | 78 | 10 | 818 | ||
| Newsha Ghaeli United States | 5 | 661 1.0× | 353 1.0× | 110 0.8× | 110 1.0× | 66 0.8× | 5 | 734 | ||
| Natalie Sims United Kingdom | 8 | 393 0.6× | 221 0.6× | 92 0.6× | 49 0.4× | 66 0.8× | 17 | 669 | ||
| Susan Petterson Australia | 8 | 284 0.4× | 122 0.3× | 42 0.3× | 39 0.3× | 14 0.2× | 13 | 432 | ||
| Sun‐Hyung Kim South Korea | 11 | 156 0.2× | 29 0.1× | 88 0.6× | 27 0.2× | 13 0.2× | 44 | 481 | ||
| Vikram Thakur India | 13 | 369 0.5× | 32 0.1× | 129 0.9× | 27 0.2× | 24 0.3× | 27 | 656 | ||
| Manuel Döhla Germany | 7 | 126 0.2× | 54 0.1× | 41 0.3× | 31 0.3× | 6 0.1× | 16 | 263 | ||
| Leonie Schipper Germany | 7 | 166 0.2× | 50 0.1× | 61 0.4× | 15 0.1× | 22 0.3× | 9 | 526 | ||
| Zhenyu Fan China | 10 | 572 0.8× | 19 0.1× | 132 0.9× | 21 0.2× | 16 0.2× | 27 | 871 | ||
| Sang Hee Woo South Korea | 7 | 255 0.4× | 47 0.1× | 76 0.5× | 28 0.3× | 4 0.1× | 11 | 448 | ||
| Ana María Rivas-Estilla Mexico | 13 | 153 0.2× | 29 0.1× | 83 0.6× | 6 0.1× | 131 1.7× | 31 | 498 |
Countries citing papers authored by Mariana Matus
This map shows the geographic impact of Mariana Matus'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 Mariana Matus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariana Matus more than expected).
Fields of papers citing papers by Mariana Matus
This network shows the impact of papers produced by Mariana Matus. 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 Mariana Matus. The network helps show where Mariana Matus may publish in the future.
Co-authorship network of co-authors of Mariana Matus
This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Matus. A scholar is included among the top collaborators of Mariana Matus 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 Mariana Matus. Mariana Matus 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.