Rachna Jain

113 papers and 1.9k indexed citations i.

About

Rachna Jain is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rachna Jain has authored 113 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 17 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rachna Jain’s work include COVID-19 diagnosis using AI (13 papers), Advanced Text Analysis Techniques (7 papers) and Topic Modeling (7 papers). Rachna Jain is often cited by papers focused on COVID-19 diagnosis using AI (13 papers), Advanced Text Analysis Techniques (7 papers) and Topic Modeling (7 papers). Rachna Jain collaborates with scholars based in India, Vietnam and United Arab Emirates. Rachna Jain's co-authors include D. Jude Hemanth, Meenu Gupta, Preeti Nagrath, Soham Taneja, Nikita Jain, Akshay Aggarwal, Vinay Sharma, Jyoti Saxena, Agam Madan and Rohan Arora and has published in prestigious journals such as PLoS ONE, BMJ and Natural Product Reports.

In The Last Decade

Co-authorship network of co-authors of Rachna Jain i

Fields of papers citing papers by Rachna Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rachna Jain

Since Specialization
Citations

This map shows the geographic impact of Rachna Jain'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 Rachna Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachna Jain 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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2025