Bianca Vaida
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Co-authorship network of co-authors of Bianca Vaida
This figure shows the co-authorship network connecting the top 25 collaborators of Bianca Vaida. A scholar is included among the top collaborators of Bianca Vaida 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 Bianca Vaida. Bianca Vaida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Bianca Vaida
14 papers receiving 678 citations
Fields of papers citing papers by Bianca Vaida
This network shows the impact of papers produced by Bianca Vaida. 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 Bianca Vaida. The network helps show where Bianca Vaida may publish in the future.
Countries citing papers authored by Bianca Vaida
This map shows the geographic impact of Bianca Vaida'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 Bianca Vaida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bianca Vaida 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.