S. Dharanipragada
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Electrical and Electronic Engineering
- Co-authors
- M. PadmanabhanSalim RoukosUmit YapanelBhaskar D. RaoMartin FranzPeder A. OlsenK.S. ArunKarthik Visweswariah
- Topics
- Speech Recognition and Synthesis (22 papers)Speech and Audio Processing (16 papers)Music and Audio Processing (14 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on Audio Speech and Language ProcessingIEEE Transactions on Speech and Audio Processing
- Partner nations
- United States
In The Last Decade
S. Dharanipragada
31 papers receiving 389 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 357
- Signal Processing 314
- Computer Vision and Pattern Recognition 89
- Computational Mechanics 25
- Electrical and Electronic Engineering 14
Countries citing papers authored by S. Dharanipragada
This map shows the geographic impact of S. Dharanipragada'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 S. Dharanipragada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Dharanipragada more than expected).
Fields of papers citing papers by S. Dharanipragada
This network shows the impact of papers produced by S. Dharanipragada. 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 S. Dharanipragada. The network helps show where S. Dharanipragada may publish in the future.
Co-authorship network of co-authors of S. Dharanipragada
This figure shows the co-authorship network connecting the top 25 collaborators of S. Dharanipragada. A scholar is included among the top collaborators of S. Dharanipragada 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 S. Dharanipragada. S. Dharanipragada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 18 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 0 | |
| 10 | 22 | |
| 11 | 33 | |
| 12 | 51 | |
| 13 | 6 | |
| 14 | Story Segmentation and Topic Detection in the Broadcast News Domain | 10 |
| 15 | 13 | |
| 16 | Audio indexing for broadcast news | 25 |
| 17 | 4 | |
| 18 | 9 | |
| 19 | 18 | |
| 20 | 15 |
About S. Dharanipragada
S. Dharanipragada is a scholar working on Signal Processing, Artificial Intelligence and Music, having authored 34 papers that have together received 448 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (14 papers). The work is most often cited by research in Signal Processing (314 citations), Artificial Intelligence (357 citations) and Computer Vision and Pattern Recognition (89 citations). S. Dharanipragada has collaborated with scholars based in United States. Frequent co-authors include M. Padmanabhan, Salim Roukos, Umit Yapanel, Bhaskar D. Rao, Bhaskar D. Rao, Martin Franz, Peder A. Olsen, K.S. Arun, Karthik Visweswariah and Daniel Povey. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Audio Speech and Language Processing and IEEE Transactions on Speech and Audio Processing.
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.