Bishnu S. Atal
- Signal Processing top 0.05%
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.2%
- Computational Mechanics top 1%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Manfred R. SchroederK.K. PaliwalL. R. RabinerJ. L. HallM. V. MathewsJohn W. TukeySharad SinghalJames L. Flanagan
- Topics
- Speech and Audio Processing (58 papers)Advanced Data Compression Techniques (49 papers)Speech Recognition and Synthesis (34 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Bishnu S. Atal
90 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Signal Processing 4.3k
- Artificial Intelligence 2.6k
- Computer Vision and Pattern Recognition 2.5k
- Computational Mechanics 951
- Experimental and Cognitive Psychology 580
Countries citing papers authored by Bishnu S. Atal
This map shows the geographic impact of Bishnu S. Atal'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 Bishnu S. Atal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bishnu S. Atal more than expected).
Fields of papers citing papers by Bishnu S. Atal
This network shows the impact of papers produced by Bishnu S. Atal. 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 Bishnu S. Atal. The network helps show where Bishnu S. Atal may publish in the future.
Co-authorship network of co-authors of Bishnu S. Atal
This figure shows the co-authorship network connecting the top 25 collaborators of Bishnu S. Atal. A scholar is included among the top collaborators of Bishnu S. Atal 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 Bishnu S. Atal. Bishnu S. Atal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 0 | |
| 3 | 37 | |
| 4 | 4 | |
| 5 | Representing frequencies in speech. | 3 |
| 6 | 18 | |
| 7 | 7 | |
| 8 | 418 | |
| 9 | 39 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | Linear predictive coding of speech | 6 |
| 13 | 2 | |
| 14 | Speech Coding | 146 |
| 15 | 137 | |
| 16 | 25 | |
| 17 | 25 | |
| 18 | Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verificationbreakdown → | 642 |
| 19 | 5'congres international d'acoustique ueqe 7-14 septembre 1965 suejective reverberation time and its relation to sound decay | 0 |
| 20 | 18 |
About Bishnu S. Atal
Bishnu S. Atal is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 100 papers that have together received 5.5k indexed citations. Recurring topics across this work include Speech and Audio Processing (58 papers), Advanced Data Compression Techniques (49 papers) and Speech Recognition and Synthesis (34 papers). The work is most often cited by research in Signal Processing (4.3k citations), Computer Vision and Pattern Recognition (2.5k citations) and Artificial Intelligence (2.6k citations). Bishnu S. Atal has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Manfred R. Schroeder, K.K. Paliwal, L. R. Rabiner, J. L. Hall, M. V. Mathews, John W. Tukey, Sharad Singhal, James L. Flanagan, N. Jayant and José Tribolet. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Proceedings of the IEEE.
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.