Paranthaman Vijayan
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Co-authorship network of co-authors of Paranthaman Vijayan
This figure shows the co-authorship network connecting the top 25 collaborators of Paranthaman Vijayan. A scholar is included among the top collaborators of Paranthaman Vijayan 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 Paranthaman Vijayan. Paranthaman Vijayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Paranthaman Vijayan
32 papers receiving 465 citations
Fields of papers citing papers by Paranthaman Vijayan
This network shows the impact of papers produced by Paranthaman Vijayan. 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 Paranthaman Vijayan. The network helps show where Paranthaman Vijayan may publish in the future.
Countries citing papers authored by Paranthaman Vijayan
This map shows the geographic impact of Paranthaman Vijayan'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 Paranthaman Vijayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paranthaman Vijayan 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.