V. Ramasubramanian

46 papers and 355 indexed citations i.

About

V. Ramasubramanian is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, V. Ramasubramanian has authored 46 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 25 papers in Signal Processing and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in V. Ramasubramanian’s work include Speech and Audio Processing (24 papers), Speech Recognition and Synthesis (20 papers) and Advanced Data Compression Techniques (16 papers). V. Ramasubramanian is often cited by papers focused on Speech and Audio Processing (24 papers), Speech Recognition and Synthesis (20 papers) and Advanced Data Compression Techniques (16 papers). V. Ramasubramanian collaborates with scholars based in India, United States and Germany. V. Ramasubramanian's co-authors include K.K. Paliwal, Adrian Glasser, T.V. Sreenivas, Amit Kale, Arthur Bradley, Pete Kollbaum, Dawn Meyer, K. Sreenivasa Rao, Dinesh Babu Jayagopi and Martin E. Rickert and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of V. Ramasubramanian i

Fields of papers citing papers by V. Ramasubramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. Ramasubramanian. 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. Ramasubramanian. The network helps show where V. Ramasubramanian may publish in the future.

Countries citing papers authored by V. Ramasubramanian

Since Specialization
Citations

This map shows the geographic impact of V. Ramasubramanian'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. Ramasubramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Ramasubramanian more than expected).

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.

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