Sunil Kumar Dhatwalia
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In The Last Decade
Co-authorship network of co-authors of Sunil Kumar Dhatwalia
This figure shows the co-authorship network connecting the top 25 collaborators of Sunil Kumar Dhatwalia. A scholar is included among the top collaborators of Sunil Kumar Dhatwalia 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 Sunil Kumar Dhatwalia. Sunil Kumar Dhatwalia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Sunil Kumar Dhatwalia
18 papers receiving 263 citations
Fields of papers citing papers by Sunil Kumar Dhatwalia
This network shows the impact of papers produced by Sunil Kumar Dhatwalia. 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 Sunil Kumar Dhatwalia. The network helps show where Sunil Kumar Dhatwalia may publish in the future.
Countries citing papers authored by Sunil Kumar Dhatwalia
This map shows the geographic impact of Sunil Kumar Dhatwalia'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 Sunil Kumar Dhatwalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Kumar Dhatwalia more than expected).
Top Papers & Citation Paths
Explore Sunil Kumar Dhatwalia's most cited publications and discover how their work connects to other scholars through citations.
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.