Marja Koski
About
In The Last Decade
Marja Koski
65 papers receiving 2.6k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Marja Koski Denmark | 32 | 1.9k | 979 | 740 | 731 | 226 | 67 | 2.7k | ||
| Arga Chandrashekar Anil India | 31 | 1.7k 0.9× | 1.0k 1.0× | 804 1.1× | 448 0.6× | 254 1.1× | 163 | 2.9k | ||
| Anastazia T. Banaszak Mexico | 25 | 1.1k 0.6× | 1.2k 1.2× | 398 0.5× | 591 0.8× | 191 0.8× | 62 | 2.5k | ||
| Flemming Møhlenberg Denmark | 24 | 1.8k 0.9× | 1.3k 1.4× | 1.4k 1.9× | 477 0.7× | 287 1.3× | 38 | 3.0k | ||
| Cristina Sobrino Spain | 25 | 1.5k 0.8× | 710 0.7× | 452 0.6× | 388 0.5× | 104 0.5× | 62 | 2.2k | ||
| Paraskevi Pitta Greece | 31 | 1.9k 1.0× | 1.6k 1.7× | 841 1.1× | 397 0.5× | 161 0.7× | 91 | 3.1k | ||
| Jorge M. Navarro Chile | 36 | 2.3k 1.2× | 1.5k 1.5× | 2.4k 3.3× | 386 0.5× | 432 1.9× | 150 | 3.8k | ||
| L. Peperzak Netherlands | 29 | 1.9k 1.0× | 1.1k 1.2× | 539 0.7× | 1.3k 1.7× | 250 1.1× | 75 | 3.0k | ||
| Peter Williams United Kingdom | 32 | 2.4k 1.2× | 1.3k 1.3× | 578 0.8× | 566 0.8× | 69 0.3× | 57 | 3.8k | ||
| David W. Pond United Kingdom | 35 | 1.7k 0.9× | 1.7k 1.7× | 1.7k 2.2× | 258 0.4× | 135 0.6× | 78 | 3.5k | ||
| Henglong Xu China | 27 | 1.9k 1.0× | 1.9k 2.0× | 288 0.4× | 308 0.4× | 169 0.7× | 160 | 2.6k |
Countries citing papers authored by Marja Koski
This map shows the geographic impact of Marja Koski'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 Marja Koski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marja Koski more than expected).
Fields of papers citing papers by Marja Koski
This network shows the impact of papers produced by Marja Koski. 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 Marja Koski. The network helps show where Marja Koski may publish in the future.
Co-authorship network of co-authors of Marja Koski
This figure shows the co-authorship network connecting the top 25 collaborators of Marja Koski. A scholar is included among the top collaborators of Marja Koski 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 Marja Koski. Marja Koski 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.