Devlina Chakravarty
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Co-authorship network of co-authors of Devlina Chakravarty
This figure shows the co-authorship network connecting the top 25 collaborators of Devlina Chakravarty. A scholar is included among the top collaborators of Devlina Chakravarty 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 Devlina Chakravarty. Devlina Chakravarty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Devlina Chakravarty
22 papers receiving 592 citations
Fields of papers citing papers by Devlina Chakravarty
This network shows the impact of papers produced by Devlina Chakravarty. 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 Devlina Chakravarty. The network helps show where Devlina Chakravarty may publish in the future.
Countries citing papers authored by Devlina Chakravarty
This map shows the geographic impact of Devlina Chakravarty'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 Devlina Chakravarty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devlina Chakravarty 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.