Marika Häkli
About
In The Last Decade
Marika Häkli
13 papers receiving 586 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marika Häkli Finland | 11 | 394 | 191 | 154 | 87 | 59 | 13 | 596 | ||
| Ahmed Atef Ibrahim United States | 11 | 284 0.7× | 139 0.7× | 138 0.9× | 50 0.6× | 29 0.5× | 19 | 540 | ||
| Lynne V. Nazareth United States | 6 | 294 0.7× | 235 1.2× | 66 0.4× | 271 3.1× | 179 3.0× | 7 | 570 | ||
| Ding-Yen Lin Taiwan | 11 | 702 1.8× | 138 0.7× | 170 1.1× | 60 0.7× | 31 0.5× | 15 | 854 | ||
| Alejandro García Carrancá Mexico | 7 | 377 1.0× | 117 0.6× | 85 0.6× | 21 0.2× | 22 0.4× | 14 | 595 | ||
| Ramneet Kaur United States | 9 | 257 0.7× | 54 0.3× | 117 0.8× | 50 0.6× | 14 0.2× | 18 | 409 | ||
| Joël Walicki Switzerland | 9 | 315 0.8× | 32 0.2× | 103 0.7× | 79 0.9× | 12 0.2× | 11 | 547 | ||
| Manon de Ladurantaye Canada | 13 | 265 0.7× | 80 0.4× | 156 1.0× | 42 0.5× | 10 0.2× | 17 | 574 | ||
| Avraham Geier Israel | 14 | 256 0.6× | 176 0.9× | 108 0.7× | 9 0.1× | 106 1.8× | 49 | 530 | ||
| Jun Seop Yun South Korea | 13 | 310 0.8× | 132 0.7× | 50 0.3× | 16 0.2× | 80 1.4× | 20 | 513 | ||
| Diane Hamel Canada | 7 | 264 0.7× | 187 1.0× | 110 0.7× | 11 0.1× | 51 0.9× | 7 | 501 |
Countries citing papers authored by Marika Häkli
This map shows the geographic impact of Marika Häkli'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 Marika Häkli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marika Häkli more than expected).
Fields of papers citing papers by Marika Häkli
This network shows the impact of papers produced by Marika Häkli. 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 Marika Häkli. The network helps show where Marika Häkli may publish in the future.
Co-authorship network of co-authors of Marika Häkli
This figure shows the co-authorship network connecting the top 25 collaborators of Marika Häkli. A scholar is included among the top collaborators of Marika Häkli 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 Marika Häkli. Marika Häkli 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.