Pradip Sircar
- Signal Processing top 1%
- Cognitive Neuroscience top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Ram Bilas PachoriRahul SharmaSudipta MukhopadhyayNishchal K. VermaAdrish BanerjeePushpendra SinghNarendra KumarU. Rajendra Acharya
- Topics
- Blind Source Separation Techniques (31 papers)Image and Signal Denoising Methods (16 papers)Speech and Audio Processing (15 papers)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Pradip Sircar
57 papers receiving 942 citations
Peers
Comparison fields: 5 of 85
- Signal Processing 473
- Cognitive Neuroscience 376
- Control and Systems Engineering 199
- Computer Vision and Pattern Recognition 199
- Experimental and Cognitive Psychology 178
Countries citing papers authored by Pradip Sircar
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).
Fields of papers citing papers by Pradip Sircar
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.
Co-authorship network of co-authors of Pradip Sircar
This figure shows the co-authorship network connecting the top 25 collaborators of Pradip Sircar. A scholar is included among the top collaborators of Pradip Sircar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pradip Sircar. Pradip Sircar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 73 | |
| 3 | 1 | |
| 4 | 145 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 68 | |
| 13 | 3 | |
| 14 | 101 | |
| 15 | Analysis of multicomponent speech-like signals by continuous wavelet transform-based technique | 4 |
| 16 | 90 | |
| 17 | 23 | |
| 18 | 12 | |
| 19 | 26 | |
| 20 | 7 |
About Pradip Sircar
Pradip Sircar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 57 papers that have together received 993 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (31 papers), Image and Signal Denoising Methods (16 papers) and Speech and Audio Processing (15 papers). The work is most often cited by research in Signal Processing (473 citations), Cognitive Neuroscience (376 citations) and Experimental and Cognitive Psychology (178 citations). Pradip Sircar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Ram Bilas Pachori, Rahul Sharma, Sudipta Mukhopadhyay, Nishchal K. Verma, Adrish Banerjee, Pushpendra Singh, Narendra Kumar, U. Rajendra Acharya, Sulatha V. Bhandary and Tapan K. Sarkar. Their work appears in journals such as Journal of the Franklin Institute, Signal Processing and Biomedical Signal Processing and Control.
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.