K R Prajwal
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Human-Computer Interaction top 10%
- Co-authors
- C. V. JawaharRudrabha MukhopadhyayVinay P. NamboodiriAndrew ZissermanTriantafyllos AfourasPonnurangam Kumaraguru
- Topics
- Speech and Audio Processing (7 papers)Speech Recognition and Synthesis (5 papers)Face recognition and analysis (2 papers)
- Journals
- Language Resources and Evaluation2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Pure (University of Bath)
- Partner nations
- IndiaUnited Kingdom
In The Last Decade
K R Prajwal
9 papers receiving 558 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 408
- Signal Processing 323
- Artificial Intelligence 159
- Control and Systems Engineering 58
- Human-Computer Interaction 37
Countries citing papers authored by K R Prajwal
This map shows the geographic impact of K R Prajwal'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 K R Prajwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K R Prajwal more than expected).
Fields of papers citing papers by K R Prajwal
This network shows the impact of papers produced by K R Prajwal. 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 K R Prajwal. The network helps show where K R Prajwal may publish in the future.
Co-authorship network of co-authors of K R Prajwal
This figure shows the co-authorship network connecting the top 25 collaborators of K R Prajwal. A scholar is included among the top collaborators of K R Prajwal 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 K R Prajwal. K R Prajwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 64 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | IndicSpeech: Text-to-Speech Corpus for Indian Languages | 10 |
| 8 | 59 | |
| 9 | A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wildbreakdown → | 426 |
| 10 | 3 | |
| 11 | 10 |
About K R Prajwal
K R Prajwal is a scholar working on Signal Processing, Pharmacy and Artificial Intelligence, having authored 11 papers that have together received 587 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (5 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Signal Processing (323 citations), Computer Vision and Pattern Recognition (408 citations) and Human-Computer Interaction (37 citations). K R Prajwal has collaborated with scholars based in India and United Kingdom. Frequent co-authors include C. V. Jawahar, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, Andrew Zisserman, Triantafyllos Afouras, Ponnurangam Kumaraguru and Andrew Zisserman. Their work appears in journals such as Language Resources and Evaluation, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Pure (University of Bath).
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.