Maija Garnaas
About
In The Last Decade
Maija Garnaas
17 papers receiving 949 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maija Garnaas United States | 12 | 686 | 204 | 198 | 185 | 151 | 17 | 960 | ||
| Zhongxian Lu China | 21 | 791 1.2× | 164 0.8× | 205 1.0× | 131 0.7× | 242 1.6× | 52 | 1.3k | ||
| Alexa Burger Switzerland | 17 | 902 1.3× | 223 1.1× | 111 0.6× | 132 0.7× | 140 0.9× | 30 | 1.2k | ||
| Alex J. Tipping United Kingdom | 20 | 1.1k 1.6× | 224 1.1× | 234 1.2× | 182 1.0× | 195 1.3× | 33 | 1.6k | ||
| Daniela Talarico Italy | 18 | 811 1.2× | 232 1.1× | 177 0.9× | 179 1.0× | 217 1.4× | 41 | 1.2k | ||
| Pierre‐Olivier Frappart Germany | 18 | 1.0k 1.5× | 205 1.0× | 139 0.7× | 248 1.3× | 187 1.2× | 33 | 1.4k | ||
| Mary Barbara United States | 15 | 768 1.1× | 102 0.5× | 235 1.2× | 162 0.9× | 86 0.6× | 22 | 1.3k | ||
| Ivana L. de la Serna United States | 18 | 1.6k 2.3× | 114 0.6× | 146 0.7× | 150 0.8× | 164 1.1× | 29 | 1.7k | ||
| Jennifer N. Cech United States | 10 | 892 1.3× | 182 0.9× | 95 0.5× | 115 0.6× | 201 1.3× | 13 | 1.2k | ||
| Fiorenzo A. Peverali Italy | 19 | 951 1.4× | 148 0.7× | 98 0.5× | 188 1.0× | 149 1.0× | 27 | 1.3k | ||
| T. Fujiwara Japan | 20 | 763 1.1× | 185 0.9× | 185 0.9× | 128 0.7× | 93 0.6× | 36 | 1.1k |
Countries citing papers authored by Maija Garnaas
This map shows the geographic impact of Maija Garnaas'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 Maija Garnaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maija Garnaas more than expected).
Fields of papers citing papers by Maija Garnaas
This network shows the impact of papers produced by Maija Garnaas. 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 Maija Garnaas. The network helps show where Maija Garnaas may publish in the future.
Co-authorship network of co-authors of Maija Garnaas
This figure shows the co-authorship network connecting the top 25 collaborators of Maija Garnaas. A scholar is included among the top collaborators of Maija Garnaas 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 Maija Garnaas. Maija Garnaas 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.