Prem C. Pandey
- Signal Processing top 2%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Computational Mechanics top 10%
- Artificial Intelligence top 10%
- Co-authors
- V. K. PandeySuchendra M. BhandarkarK. S. NatarajAlice N. CheeranPraveen KumarNitin BurkuleSudipan SahaMalay Kishore Dutta
- Topics
- Speech and Audio Processing (65 papers)Hearing Loss and Rehabilitation (33 papers)Speech Recognition and Synthesis (23 papers)
In The Last Decade
Prem C. Pandey
84 papers receiving 459 citations
Peers
Comparison fields: 5 of 62
- Signal Processing 323
- Cognitive Neuroscience 179
- Biomedical Engineering 165
- Computational Mechanics 128
- Artificial Intelligence 113
Countries citing papers authored by Prem C. Pandey
This map shows the geographic impact of Prem C. Pandey'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 Prem C. Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prem C. Pandey more than expected).
Fields of papers citing papers by Prem C. Pandey
This network shows the impact of papers produced by Prem C. Pandey. 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 Prem C. Pandey. The network helps show where Prem C. Pandey may publish in the future.
Co-authorship network of co-authors of Prem C. Pandey
This figure shows the co-authorship network connecting the top 25 collaborators of Prem C. Pandey. A scholar is included among the top collaborators of Prem C. Pandey 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 Prem C. Pandey. Prem C. Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | Wavelet based denoising for suppression of respiratory and motion artifacts in impedance cardiography | 12 |
| 10 | Automatic detection of characteristic points in impedance cardiogram | 12 |
| 11 | 19 | |
| 12 | 40 | |
| 13 | 13 | |
| 14 | 18 | |
| 15 | 6 | |
| 16 | Enhancement of electrolaryngeal speech by spectral subtraction, spectral compensation, and introduction of jitter and shimmer | 2 |
| 17 | 3 | |
| 18 | 29 | |
| 19 | 8 | |
| 20 | 4 |
About Prem C. Pandey
Prem C. Pandey is a scholar working on Signal Processing, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 90 papers that have together received 545 indexed citations. Recurring topics across this work include Speech and Audio Processing (65 papers), Hearing Loss and Rehabilitation (33 papers) and Speech Recognition and Synthesis (23 papers). The work is most often cited by research in Signal Processing (323 citations), Cognitive Neuroscience (179 citations) and Computational Mechanics (128 citations). Prem C. Pandey has collaborated with scholars based in India and Spain. Frequent co-authors include V. K. Pandey, Suchendra M. Bhandarkar, K. S. Nataraj, Alice N. Cheeran, Praveen Kumar, Nitin Burkule, Sudipan Saha, Malay Kishore Dutta, P. Subbanna Bhat and Carlos M. Travieso. Their work appears in journals such as The Journal of the Acoustical Society of America, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.
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.