Pradip Sircar

35 papers and 785 indexed citations i.

About

Pradip Sircar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Pradip Sircar has authored 35 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Control and Systems Engineering. Recurrent topics in Pradip Sircar’s work include Blind Source Separation Techniques (21 papers), Image and Signal Denoising Methods (10 papers) and Speech and Audio Processing (9 papers). Pradip Sircar is often cited by papers focused on Blind Source Separation Techniques (21 papers), Image and Signal Denoising Methods (10 papers) and Speech and Audio Processing (9 papers). Pradip Sircar collaborates with scholars based in India, Singapore and United States. Pradip Sircar's co-authors include Ram Bilas Pachori, Rahul Sharma, U. Rajendra Acharya, Abhijit Bhattacharyya, Manish Sharma, Sudipta Mukhopadhyay, Pushpendra Singh, Sulatha V. Bhandary, Adrish Banerjee and Narendra Kumar and has published in prestigious journals such as Journal of the Franklin Institute, Signal Processing and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Pradip Sircar i

Fields of papers citing papers by Pradip Sircar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pradip Sircar

Since Specialization
Citations

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