Vasulinga T. Ravikumar
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In The Last Decade
Co-authorship network of co-authors of Vasulinga T. Ravikumar
This figure shows the co-authorship network connecting the top 25 collaborators of Vasulinga T. Ravikumar. A scholar is included among the top collaborators of Vasulinga T. Ravikumar 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 Vasulinga T. Ravikumar. Vasulinga T. Ravikumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Vasulinga T. Ravikumar
67 papers receiving 944 citations
Fields of papers citing papers by Vasulinga T. Ravikumar
This network shows the impact of papers produced by Vasulinga T. Ravikumar. 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 Vasulinga T. Ravikumar. The network helps show where Vasulinga T. Ravikumar may publish in the future.
Countries citing papers authored by Vasulinga T. Ravikumar
This map shows the geographic impact of Vasulinga T. Ravikumar'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 Vasulinga T. Ravikumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasulinga T. Ravikumar 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.