Uni Martinsen
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Co-authorship network of co-authors of Uni Martinsen
This figure shows the co-authorship network connecting the top 25 collaborators of Uni Martinsen. A scholar is included among the top collaborators of Uni Martinsen 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 Uni Martinsen. Uni Martinsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Uni Martinsen
4 papers receiving 255 citations
Fields of papers citing papers by Uni Martinsen
This network shows the impact of papers produced by Uni Martinsen. 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 Uni Martinsen. The network helps show where Uni Martinsen may publish in the future.
Countries citing papers authored by Uni Martinsen
This map shows the geographic impact of Uni Martinsen'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 Uni Martinsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uni Martinsen more than expected).
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.