Vaibhav Rajan

About

Vaibhav Rajan is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Vaibhav Rajan has authored 46 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Vaibhav Rajan’s work include Genomics and Phylogenetic Studies (9 papers), Machine Learning in Healthcare (8 papers) and Genome Rearrangement Algorithms (7 papers). Vaibhav Rajan is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Machine Learning in Healthcare (8 papers) and Genome Rearrangement Algorithms (7 papers). Vaibhav Rajan collaborates with scholars based in Singapore, India and Switzerland. Vaibhav Rajan's co-authors include Sakyajit Bhattacharya, Yu Lin, Bernard M. E. Moret, Atreyi Kankanhalli, Anand D. Jeyasekharan, Herty Liany, Chandan K. Reddy, Shourya Roy, Vijini Mallawaarachchi and Krister M. Swenson and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Vaibhav Rajan i

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Fields of papers citing papers by Vaibhav Rajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vaibhav Rajan. 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 Vaibhav Rajan. The network helps show where Vaibhav Rajan may publish in the future.

Countries citing papers authored by Vaibhav Rajan

Since Specialization

Citations

This map shows the geographic impact of Vaibhav Rajan'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 Vaibhav Rajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vaibhav Rajan 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.

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