Maija Slaidina
About
In The Last Decade
Maija Slaidina
12 papers receiving 824 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 Slaidina United States | 10 | 409 | 285 | 197 | 156 | 152 | 12 | 832 | ||
| Justin R. DiAngelo United States | 16 | 449 1.1× | 241 0.8× | 223 1.1× | 158 1.0× | 153 1.0× | 37 | 959 | ||
| Ingo Zinke Germany | 7 | 351 0.9× | 400 1.4× | 310 1.6× | 110 0.7× | 180 1.2× | 8 | 963 | ||
| Rochele Yamamoto United States | 9 | 291 0.7× | 258 0.9× | 174 0.9× | 124 0.8× | 236 1.6× | 11 | 725 | ||
| Rénald Delanoue France | 14 | 638 1.6× | 490 1.7× | 305 1.5× | 186 1.2× | 227 1.5× | 18 | 1.2k | ||
| Andrés Garelli Argentina | 11 | 374 0.9× | 355 1.2× | 143 0.7× | 106 0.7× | 90 0.6× | 14 | 799 | ||
| Laura Kean United Kingdom | 12 | 622 1.5× | 388 1.4× | 209 1.1× | 202 1.3× | 89 0.6× | 15 | 1.1k | ||
| Shireen‐A. Davies United Kingdom | 15 | 571 1.4× | 231 0.8× | 161 0.8× | 182 1.2× | 79 0.5× | 21 | 833 | ||
| Nathalie Arquier France | 10 | 420 1.0× | 361 1.3× | 157 0.8× | 130 0.8× | 131 0.9× | 15 | 838 | ||
| Nuria M. Romero Argentina | 11 | 320 0.8× | 214 0.8× | 110 0.6× | 121 0.8× | 54 0.4× | 18 | 589 | ||
| Shireen-Anne Davies United Kingdom | 13 | 429 1.0× | 198 0.7× | 150 0.8× | 144 0.9× | 76 0.5× | 18 | 669 |
Countries citing papers authored by Maija Slaidina
This map shows the geographic impact of Maija Slaidina'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 Slaidina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maija Slaidina more than expected).
Fields of papers citing papers by Maija Slaidina
This network shows the impact of papers produced by Maija Slaidina. 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 Slaidina. The network helps show where Maija Slaidina may publish in the future.
Co-authorship network of co-authors of Maija Slaidina
This figure shows the co-authorship network connecting the top 25 collaborators of Maija Slaidina. A scholar is included among the top collaborators of Maija Slaidina 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 Slaidina. Maija Slaidina 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.