Susan Maerki
About
In The Last Decade
Susan Maerki
10 papers receiving 763 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Susan Maerki United States | 7 | 410 | 306 | 194 | 141 | 137 | 10 | 819 | ||
| Eric Muñoz United States | 16 | 316 0.8× | 259 0.8× | 262 1.4× | 201 1.4× | 114 0.8× | 74 | 902 | ||
| Sandra Hunt United States | 7 | 405 1.0× | 292 1.0× | 306 1.6× | 228 1.6× | 189 1.4× | 11 | 988 | ||
| Robert Hughes United Kingdom | 16 | 271 0.7× | 255 0.8× | 190 1.0× | 139 1.0× | 152 1.1× | 47 | 922 | ||
| P. C. Clifford United Kingdom | 12 | 304 0.7× | 340 1.1× | 483 2.5× | 134 1.0× | 234 1.7× | 33 | 1.3k | ||
| Susan DesHarnais United States | 17 | 422 1.0× | 442 1.4× | 88 0.5× | 96 0.7× | 64 0.5× | 37 | 971 | ||
| Cathryn Gust United States | 6 | 355 0.9× | 240 0.8× | 308 1.6× | 250 1.8× | 112 0.8× | 6 | 782 | ||
| Roger J. Meimban United States | 11 | 164 0.4× | 124 0.4× | 138 0.7× | 195 1.4× | 97 0.7× | 17 | 529 | ||
| Jeff Etchason United States | 11 | 173 0.4× | 188 0.6× | 222 1.1× | 79 0.6× | 66 0.5× | 20 | 864 | ||
| Askar Chukmaitov United States | 17 | 364 0.9× | 322 1.1× | 99 0.5× | 50 0.4× | 87 0.6× | 45 | 866 | ||
| Lindsey A. Herrel United States | 19 | 328 0.8× | 277 0.9× | 195 1.0× | 80 0.6× | 194 1.4× | 97 | 968 |
Countries citing papers authored by Susan Maerki
This map shows the geographic impact of Susan Maerki'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 Susan Maerki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Maerki more than expected).
Fields of papers citing papers by Susan Maerki
This network shows the impact of papers produced by Susan Maerki. 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 Susan Maerki. The network helps show where Susan Maerki may publish in the future.
Co-authorship network of co-authors of Susan Maerki
This figure shows the co-authorship network connecting the top 25 collaborators of Susan Maerki. A scholar is included among the top collaborators of Susan Maerki 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 Susan Maerki. Susan Maerki 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.