Vasundhara Acharya

21 papers and 250 indexed citations i.

About

Vasundhara Acharya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Vasundhara Acharya has authored 21 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Plant Science. Recurrent topics in Vasundhara Acharya’s work include Digital Imaging for Blood Diseases (5 papers), Smart Agriculture and AI (4 papers) and COVID-19 diagnosis using AI (4 papers). Vasundhara Acharya is often cited by papers focused on Digital Imaging for Blood Diseases (5 papers), Smart Agriculture and AI (4 papers) and COVID-19 diagnosis using AI (4 papers). Vasundhara Acharya collaborates with scholars based in India, Saudi Arabia and United States. Vasundhara Acharya's co-authors include Preetham Kumar, Vinayakumar Ravi, Tuan D. Pham, Mamoun Alazab, Chinmay Chakraborty, Wattana Viriyasitavat, Sandeep Kautish, Krishnaraj Chadaga, Ajay Arunachalam and Srikanth Prabhu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Engineering Management and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Vasundhara Acharya i

Fields of papers citing papers by Vasundhara Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vasundhara Acharya

Since Specialization
Citations

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