V. Ramu Reddy
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Experimental and Cognitive Psychology
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Co-authors
- K. Sreenivasa RaoSudhamay MaityParijat DeshpandeAniruddha SinhaAnirban Dutta ChoudhurySrinivasan JayaramanKingshuk ChakravartyRanjan Dasgupta
- Topics
- Speech and Audio Processing (11 papers)Speech Recognition and Synthesis (8 papers)Music and Audio Processing (6 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
V. Ramu Reddy
22 papers receiving 252 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 138
- Signal Processing 136
- Experimental and Cognitive Psychology 65
- Biomedical Engineering 49
- Cardiology and Cardiovascular Medicine 46
Countries citing papers authored by V. Ramu Reddy
This map shows the geographic impact of V. Ramu Reddy'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 V. Ramu Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Ramu Reddy more than expected).
Fields of papers citing papers by V. Ramu Reddy
This network shows the impact of papers produced by V. Ramu Reddy. 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 V. Ramu Reddy. The network helps show where V. Ramu Reddy may publish in the future.
Co-authorship network of co-authors of V. Ramu Reddy
This figure shows the co-authorship network connecting the top 25 collaborators of V. Ramu Reddy. A scholar is included among the top collaborators of V. Ramu Reddy 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 V. Ramu Reddy. V. Ramu Reddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 46 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 15 | |
| 14 | 24 | |
| 15 | 58 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | Natural Language Identification and Translation Tool for Natural Language Processing | 3 |
| 19 | 8 | |
| 20 | 2 |
About V. Ramu Reddy
V. Ramu Reddy is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 22 papers that have together received 277 indexed citations. Recurring topics across this work include Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Signal Processing (136 citations), Experimental and Cognitive Psychology (65 citations) and Artificial Intelligence (138 citations). V. Ramu Reddy has collaborated with scholars based in India, United States and Canada. Frequent co-authors include K. Sreenivasa Rao, Sudhamay Maity, Parijat Deshpande, Aniruddha Sinha, Anirban Dutta Choudhury, Srinivasan Jayaraman, Kingshuk Chakravarty, Ranjan Dasgupta, Utpal Garain and Arpan Pal. Their work appears in journals such as Neurocomputing, Computer Speech & Language and International Journal of Speech Technology.
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.