Pradip K. Das

28 papers and 163 indexed citations i.

About

Pradip K. Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pradip K. Das has authored 28 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Signal Processing. Recurrent topics in Pradip K. Das’s work include Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (10 papers) and Music and Audio Processing (6 papers). Pradip K. Das is often cited by papers focused on Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (10 papers) and Music and Audio Processing (6 papers). Pradip K. Das collaborates with scholars based in India, Japan and Malaysia. Pradip K. Das's co-authors include Badal Soni, Dalton Meitei Thounaojam, Hrudaya Kumar Tripathy, B. K. Tripathy, Pinki Roy, Kunio Kasugai, Yuji Iwahori, M. K. Bhuyan, Rashmi Dutta Baruah and Farhan Mohammad and has published in prestigious journals such as The Journal of the Acoustical Society of America, Robotics and Autonomous Systems and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Co-authorship network of co-authors of Pradip K. Das i

Fields of papers citing papers by Pradip K. Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradip K. Das. 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 Pradip K. Das. The network helps show where Pradip K. Das may publish in the future.

Countries citing papers authored by Pradip K. Das

Since Specialization
Citations

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