Matt Sharifi

6 papers and 159 indexed citations i.

About

Matt Sharifi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matt Sharifi has authored 6 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matt Sharifi’s work include Speech and Audio Processing (4 papers), Music and Audio Processing (4 papers) and Speech Recognition and Synthesis (3 papers). Matt Sharifi is often cited by papers focused on Speech and Audio Processing (4 papers), Music and Audio Processing (4 papers) and Speech Recognition and Synthesis (3 papers). Matt Sharifi collaborates with scholars based in United States, Switzerland and United Kingdom. Matt Sharifi's co-authors include Marco Tagliasacchi, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Neil Zeghidour, Dominik Roblek, Zalán Borsos, Olivier Pietquin, Olivier Teboul and David Grangier and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Matt Sharifi i

Fields of papers citing papers by Matt Sharifi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matt Sharifi

Since Specialization
Citations

This map shows the geographic impact of Matt Sharifi'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 Matt Sharifi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Sharifi 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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2025