Matt Sharifi

574 total citations · 1 hit paper
4 papers, 298 citations indexed

About

Matt Sharifi is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matt Sharifi has authored 4 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Signal Processing, 3 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Matt Sharifi's work include Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Music and Audio Processing (3 papers). Matt Sharifi is often cited by papers focused on Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Music and Audio Processing (3 papers). Matt Sharifi collaborates with scholars based in United States and Switzerland. Matt Sharifi's co-authors include Marco Tagliasacchi, Neil Zeghidour, Olivier Pietquin, Raphaël Marinier, Eugene Kharitonov, Damien Vincent, Zalán Borsos, Dominik Roblek, 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 Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Matt Sharifi

4 papers receiving 282 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AudioLM: A Language Modeling Approach to Audio Generation

2023 201 citations Zalán Borsos, Raphaël Marinier et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers

Matt Sharifi

AI

SP

CVPR

CN

ECP

Raphaël Marinier United States

Zalán Borsos Switzerland

Dominik Roblek United States

Brendan Shillingford United Kingdom

Khawar Mehmood Pakistan

Beat Pfister Switzerland

Andrew Morris Switzerland

Soham Deshmukh United Kingdom

Ivica Rogina United States

Bagher BabaAli Iran

Raphaël Marinier United States

Matt Sharifi

203 ×1.1

AI

122 ×0.8

SP

84 ×1.0

CVPR

17 ×1.3

CN

13 ×1.1

ECP

Citations per year, relative to Matt Sharifi Matt Sharifi (= 1×) peers Raphaël Marinier

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).

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.

Co-authorship network of co-authors of Matt Sharifi

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Sharifi. A scholar is included among the top collaborators of Matt Sharifi 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 Matt Sharifi. Matt Sharifi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Borsos, Zalán, Raphaël Marinier, Damien Vincent, et al.. (2023). AudioLM: A Language Modeling Approach to Audio Generation. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2523–2533. 201 indexed citations breakdown →

2.

Kharitonov, Eugene, Damien Vincent, Zalán Borsos, et al.. (2023). Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. Transactions of the Association for Computational Linguistics. 11. 1703–1718. 54 indexed citations

3.

Gfeller, Beat, et al.. (2020). Pitch Estimation Via Self-Supervision. 17. 3527–3531. 4 indexed citations

4.

Chandrasekhar, Vijay, Matt Sharifi, & David A. Ross. (2011). Survey And Evaluation Of Audio Fingerprinting Schemes For Mobile Query-By-Example Applications.. Zenodo (CERN European Organization for Nuclear Research). 801–806. 39 indexed citations

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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