Rosaria Strammiello
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Co-authorship network of co-authors of Rosaria Strammiello
This figure shows the co-authorship network connecting the top 25 collaborators of Rosaria Strammiello. A scholar is included among the top collaborators of Rosaria Strammiello 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 Rosaria Strammiello. Rosaria Strammiello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Rosaria Strammiello
22 papers receiving 1.3k citations
Fields of papers citing papers by Rosaria Strammiello
This network shows the impact of papers produced by Rosaria Strammiello. 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 Rosaria Strammiello. The network helps show where Rosaria Strammiello may publish in the future.
Countries citing papers authored by Rosaria Strammiello
This map shows the geographic impact of Rosaria Strammiello'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 Rosaria Strammiello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosaria Strammiello 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.