Maria Dao
About
In The Last Decade
Maria Dao
16 papers receiving 370 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maria Dao United States | 12 | 277 | 183 | 56 | 33 | 26 | 16 | 372 | ||
| Jessie I. Luoma United States | 8 | 170 0.6× | 138 0.8× | 91 1.6× | 29 0.9× | 31 1.2× | 8 | 364 | ||
| Joseph E. Rittiner United States | 9 | 178 0.6× | 102 0.6× | 34 0.6× | 21 0.6× | 52 2.0× | 14 | 340 | ||
| Shehrazade Dahimène United Kingdom | 12 | 416 1.5× | 214 1.2× | 54 1.0× | 52 1.6× | 36 1.4× | 17 | 550 | ||
| Veronica Musante Italy | 12 | 244 0.9× | 208 1.1× | 28 0.5× | 47 1.4× | 23 0.9× | 14 | 432 | ||
| Katharina Merz Germany | 7 | 365 1.3× | 122 0.7× | 69 1.2× | 13 0.4× | 27 1.0× | 7 | 556 | ||
| Anne E. Harasta Australia | 7 | 161 0.6× | 115 0.6× | 88 1.6× | 11 0.3× | 54 2.1× | 8 | 337 | ||
| Michaela Metz Switzerland | 5 | 300 1.1× | 287 1.6× | 31 0.6× | 25 0.8× | 23 0.9× | 6 | 453 | ||
| Yasuo Kajimoto Japan | 9 | 251 0.9× | 213 1.2× | 43 0.8× | 40 1.2× | 49 1.9× | 14 | 414 | ||
| Jordi Creus‐Muncunill United States | 11 | 265 1.0× | 178 1.0× | 37 0.7× | 27 0.8× | 27 1.0× | 20 | 359 | ||
| Masayuki Ide Japan | 8 | 133 0.5× | 80 0.4× | 69 1.2× | 18 0.5× | 21 0.8× | 20 | 256 |
Countries citing papers authored by Maria Dao
This map shows the geographic impact of Maria Dao'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 Maria Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Dao more than expected).
Fields of papers citing papers by Maria Dao
This network shows the impact of papers produced by Maria Dao. 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 Maria Dao. The network helps show where Maria Dao may publish in the future.
Co-authorship network of co-authors of Maria Dao
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Dao. A scholar is included among the top collaborators of Maria Dao 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 Maria Dao. Maria Dao 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.