Neerad Phansalkar

About

Neerad Phansalkar is a scholar working on Signal Processing, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Neerad Phansalkar has authored 2 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Signal Processing, 1 paper in Electrical and Electronic Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Neerad Phansalkar’s work include Speech and Audio Processing (2 papers), Advanced Adaptive Filtering Techniques (1 paper) and Hearing Loss and Rehabilitation (1 paper). Neerad Phansalkar is often cited by papers focused on Speech and Audio Processing (2 papers), Advanced Adaptive Filtering Techniques (1 paper) and Hearing Loss and Rehabilitation (1 paper). Neerad Phansalkar collaborates with scholars based in United States. Neerad Phansalkar's co-authors include Arvindh Krishnaswamy, Umut Isik, Jean-Marc Valin, Karim Helwani and Ritwik Giri and has published in prestigious journals such as Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Neerad Phansalkar i

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Fields of papers citing papers by Neerad Phansalkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neerad Phansalkar

Since Specialization

Citations

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