Aishwarya Patil

6 papers and 3.6k indexed citations i.

About

Aishwarya Patil is a scholar working on Organic Chemistry, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Aishwarya Patil has authored 6 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Organic Chemistry, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Aishwarya Patil’s work include Currency Recognition and Detection (2 papers), COVID-19 diagnosis using AI (1 paper) and IoT-based Smart Home Systems (1 paper). Aishwarya Patil is often cited by papers focused on Currency Recognition and Detection (2 papers), COVID-19 diagnosis using AI (1 paper) and IoT-based Smart Home Systems (1 paper). Aishwarya Patil collaborates with scholars based in India. Aishwarya Patil's co-authors include Vijaya Lobo, Anita Phatak, Neelam Chandra, Bapu R. Thorat, Suraj N. Mali and Vijay Prakash Sharma and has published in prestigious journals such as Journal of Biomolecular Structure and Dynamics, Pharmacognosy Reviews/Bioinformatics Trends/Pharmacognosy review and International Journal of Advanced Research in Computer Science and Software Engineering.

In The Last Decade

Co-authorship network of co-authors of Aishwarya Patil i

Fields of papers citing papers by Aishwarya Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aishwarya Patil

Since Specialization
Citations

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