Pradip Sircar
Impact in
- Signal Processing top 1%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
Papers in
-
- Blind Source Separation Techniques 34
- Speech and Audio Processing 15
-
- Image and Signal Denoising Methods 16
- Co-authors
- Ram Bilas Pachori (18 shared papers)Rahul Sharma (7 shared papers)Sudipta Mukhopadhyay (6 shared papers)Nishchal K. Verma (2 shared papers)Adrish Banerjee (5 shared papers)Pushpendra Singh (1 shared paper)U. Rajendra Acharya (1 shared paper)Sulatha V. Bhandary (1 shared paper)
- Journals
- Signal Processing (6 papers)Biomedical Signal Processing and Control (3 papers)Digital Signal Processing (3 papers)SpringerPlus (2 papers)International Journal of Speech Technology (2 papers)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Pradip Sircar
60 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Signal Processing 521
- Cognitive Neuroscience 428
- Experimental and Cognitive Psychology 188
- Computer Vision and Pattern Recognition 213
- Control and Systems Engineering 210
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-authors
The 19 scholars most cited alongside Pradip Sircar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 149 | |
| 2 | 2007 | 116 | |
| 3 | 2006 | 98 | |
| 4 | 2020 | 76 | |
| 5 | 2009 | 74 | |
| 6 | 2016 | 54 | |
| 7 | 2011 | 43 | |
| 8 | 2020 | 41 | |
| 9 | 1996 | 33 | |
| 10 | 1996 | 30 | |
| 11 | 2019 | 26 | |
| 12 | 1997 | 24 | |
| 13 | 2006 | 23 | |
| 14 | 2019 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2006 | 21 | |
| 17 | 1997 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2017 | 12 | |
| 20 | 2019 | 12 |
About Pradip Sircar
Pradip Sircar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Control and Systems Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (34 papers), Image and Signal Denoising Methods (16 papers), Speech and Audio Processing (15 papers), Machine Fault Diagnosis Techniques (13 papers), EEG and Brain-Computer Interfaces (11 papers), Structural Health Monitoring Techniques (8 papers), Control Systems and Identification (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Signal Processing (521 citations), Cognitive Neuroscience (428 citations), Experimental and Cognitive Psychology (188 citations), Computer Vision and Pattern Recognition (213 citations) and Control and Systems Engineering (210 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, U. Rajendra Acharya, Sulatha V. Bhandary, Tapan K. Sarkar and Atul Sharma. Their work appears in journals such as Signal Processing, Biomedical Signal Processing and Control, Digital Signal Processing, SpringerPlus and International Journal of Speech Technology.
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.