Mavis Tsai
About
In The Last Decade
Mavis Tsai
53 papers receiving 1.5k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mavis Tsai United States | 19 | 1.5k | 408 | 343 | 325 | 187 | 58 | 1.8k | ||
| Penny Munn United Kingdom | 14 | 1.1k 0.7× | 777 1.9× | 525 1.5× | 348 1.1× | 240 1.3× | 25 | 2.0k | ||
| Christa Japel Canada | 20 | 1.4k 0.9× | 533 1.3× | 185 0.5× | 138 0.4× | 136 0.7× | 38 | 1.9k | ||
| Howard Kassinove United States | 21 | 1.2k 0.8× | 657 1.6× | 255 0.7× | 249 0.8× | 131 0.7× | 51 | 1.6k | ||
| Lorrie K. Sippola Canada | 17 | 791 0.5× | 799 2.0× | 161 0.5× | 145 0.4× | 121 0.6× | 21 | 1.4k | ||
| Kimberly Shipman United States | 23 | 2.2k 1.5× | 918 2.3× | 169 0.5× | 280 0.9× | 173 0.9× | 33 | 2.5k | ||
| Sandra C. Paivio Canada | 21 | 1.8k 1.2× | 621 1.5× | 110 0.3× | 218 0.7× | 127 0.7× | 35 | 2.1k | ||
| Eric S. Buhs United States | 16 | 1.5k 1.0× | 1.0k 2.5× | 424 1.2× | 197 0.6× | 95 0.5× | 25 | 2.9k | ||
| Michelle M. Englund United States | 27 | 1.1k 0.8× | 483 1.2× | 93 0.3× | 135 0.4× | 195 1.0× | 49 | 2.1k | ||
| Gary W. Ladd United States | 17 | 1.7k 1.1× | 1.3k 3.3× | 221 0.6× | 259 0.8× | 145 0.8× | 38 | 2.5k | ||
| Jelle J. Sijtsema Netherlands | 25 | 1.3k 0.8× | 1.1k 2.6× | 106 0.3× | 269 0.8× | 172 0.9× | 61 | 2.0k |
Countries citing papers authored by Mavis Tsai
This map shows the geographic impact of Mavis Tsai'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 Mavis Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mavis Tsai more than expected).
Fields of papers citing papers by Mavis Tsai
This network shows the impact of papers produced by Mavis Tsai. 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 Mavis Tsai. The network helps show where Mavis Tsai may publish in the future.
Co-authorship network of co-authors of Mavis Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Mavis Tsai. A scholar is included among the top collaborators of Mavis Tsai 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 Mavis Tsai. Mavis Tsai 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.