Maija Hupli
About
In The Last Decade
Maija Hupli
50 papers receiving 1.1k 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 Hupli Finland | 21 | 511 | 392 | 237 | 202 | 170 | 52 | 1.2k | ||
| Zane Robinson Wolf United States | 19 | 666 1.3× | 358 0.9× | 320 1.4× | 118 0.6× | 102 0.6× | 98 | 1.7k | ||
| Mariann Fossum Norway | 22 | 379 0.7× | 288 0.7× | 147 0.6× | 145 0.7× | 72 0.4× | 90 | 1.3k | ||
| Patricia Ebright United States | 19 | 551 1.1× | 232 0.6× | 466 2.0× | 95 0.5× | 56 0.3× | 47 | 1.5k | ||
| Kerry Reid‐Searl Australia | 26 | 821 1.6× | 420 1.1× | 335 1.4× | 50 0.2× | 137 0.8× | 100 | 1.8k | ||
| Peri Rosenfeld United States | 19 | 674 1.3× | 248 0.6× | 93 0.4× | 123 0.6× | 77 0.5× | 72 | 1.1k | ||
| María Flores Vizcaya-Moreno Spain | 16 | 412 0.8× | 315 0.8× | 272 1.1× | 47 0.2× | 64 0.4× | 65 | 1.3k | ||
| Susan Fairchild United States | 16 | 751 1.5× | 197 0.5× | 123 0.5× | 50 0.2× | 149 0.9× | 27 | 1.1k | ||
| Julia Roberts United Kingdom | 23 | 622 1.2× | 298 0.8× | 94 0.4× | 66 0.3× | 69 0.4× | 46 | 1.5k | ||
| Linda Norman United States | 22 | 803 1.6× | 244 0.6× | 271 1.1× | 110 0.5× | 33 0.2× | 46 | 1.3k | ||
| Jan Florin Sweden | 19 | 557 1.1× | 249 0.6× | 271 1.1× | 229 1.1× | 21 0.1× | 39 | 1.3k |
Countries citing papers authored by Maija Hupli
This map shows the geographic impact of Maija Hupli'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 Hupli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maija Hupli more than expected).
Fields of papers citing papers by Maija Hupli
This network shows the impact of papers produced by Maija Hupli. 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 Hupli. The network helps show where Maija Hupli may publish in the future.
Co-authorship network of co-authors of Maija Hupli
This figure shows the co-authorship network connecting the top 25 collaborators of Maija Hupli. A scholar is included among the top collaborators of Maija Hupli 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 Hupli. Maija Hupli 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.