Shubha Deepti Palreddy

About

Shubha Deepti Palreddy is a scholar working on Biomedical Engineering, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shubha Deepti Palreddy has authored 2 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Biomedical Engineering, 1 paper in Epidemiology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Shubha Deepti Palreddy’s work include Analog and Mixed-Signal Circuit Design (1 paper), COVID-19 diagnosis using AI (1 paper) and Phonocardiography and Auscultation Techniques (1 paper). Shubha Deepti Palreddy is often cited by papers focused on Analog and Mixed-Signal Circuit Design (1 paper), COVID-19 diagnosis using AI (1 paper) and Phonocardiography and Auscultation Techniques (1 paper). Shubha Deepti Palreddy collaborates with scholars based in United States, India and United Kingdom. Shubha Deepti Palreddy's co-authors include Yu Hen Hu, W.J. Tompkins and Priyanka Firmal and has published in prestigious journals such as Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Shubha Deepti Palreddy i

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Fields of papers citing papers by Shubha Deepti Palreddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shubha Deepti Palreddy. 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 Shubha Deepti Palreddy. The network helps show where Shubha Deepti Palreddy may publish in the future.

Countries citing papers authored by Shubha Deepti Palreddy

Since Specialization

Citations

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