Asutosh Kar
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Computational Mechanics top 2%
- Advanced Adaptive Filtering Techniques
- Laser Material Processing Techniques
Papers in
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- Advanced Adaptive Filtering Techniques 77
- Laser Material Processing Techniques 4
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- Speech and Audio Processing 70
- Blind Source Separation Techniques 43
- Co-authors
- Mahesh Chandra (26 shared papers)M.N.S. Swamy (12 shared papers)Mads Græsbøll Christensen (12 shared papers)Samiappan Dhanalakshmi (1 shared paper)Vladimir Mladenović (8 shared papers)R. Kumar (1 shared paper)Bekir Sami Yilbaş (1 shared paper)Banshidhar Majhi (4 shared papers)
In The Last Decade
Asutosh Kar
96 papers receiving 682 citations
Peers
Comparison fields: 5 of 59
- Signal Processing 449
- Computational Mechanics 529
- Computer Vision and Pattern Recognition 81
- Biomedical Engineering 161
- Cognitive Neuroscience 52
Countries citing papers authored by Asutosh Kar
This map shows the geographic impact of Asutosh Kar'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 Asutosh Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asutosh Kar more than expected).
Fields of papers citing papers by Asutosh Kar
This network shows the impact of papers produced by Asutosh Kar. 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 Asutosh Kar. The network helps show where Asutosh Kar may publish in the future.
Co-authors
The 25 scholars most cited alongside Asutosh Kar, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 49 | |
| 2 | 2017 | 39 | |
| 3 | 2017 | 37 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 32 | |
| 6 | 2020 | 26 | |
| 7 | 2016 | 23 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 22 | |
| 10 | 1998 | 19 | |
| 11 | 2014 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2016 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 1998 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2021 | 9 |
About Asutosh Kar
Asutosh Kar is a scholar working on Computational Mechanics, Signal Processing, Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 103 papers that have together received 703 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (77 papers), Speech and Audio Processing (70 papers), Blind Source Separation Techniques (43 papers), Acoustic Wave Phenomena Research (16 papers), Hearing Loss and Rehabilitation (10 papers), Image and Signal Denoising Methods (9 papers), Control Systems and Identification (8 papers) and Laser Material Processing Techniques (4 papers). The work is most often cited by research in Signal Processing (449 citations), Computational Mechanics (529 citations), Computer Vision and Pattern Recognition (81 citations), Biomedical Engineering (161 citations) and Cognitive Neuroscience (52 citations). Asutosh Kar has collaborated with scholars based in India, Denmark and Canada. Frequent co-authors include Mahesh Chandra, M.N.S. Swamy, Mads Græsbøll Christensen, Samiappan Dhanalakshmi, Vladimir Mladenović, R. Kumar, Bekir Sami Yilbaş, Banshidhar Majhi, no-firstname Vasundhara and Jan Østergaard. Their work appears in journals such as Applied Acoustics, Journal of Ambient Intelligence and Humanized Computing, Digital Signal Processing, Signal Processing and Optics and Lasers in Engineering.
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.