Suman Ravuri

46 total papers · 4.2k total citations
28 papers, 1.6k citations indexed

About

Suman Ravuri is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Suman Ravuri has authored 28 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Suman Ravuri's work include Speech and Audio Processing (12 papers), Speech Recognition and Synthesis (12 papers) and Music and Audio Processing (9 papers). Suman Ravuri is often cited by papers focused on Speech and Audio Processing (12 papers), Speech Recognition and Synthesis (12 papers) and Music and Audio Processing (9 papers). Suman Ravuri collaborates with scholars based in United States, United Kingdom and Switzerland. Suman Ravuri's co-authors include Oriol Vinyals, Andreas Stolcke, Shakir Mohamed, Rémi Lam, Daniel Povey, Dmitry Kangin, Rachel Prudden, Alberto Arribas, N. Robinson and Meire Fortunato and has published in prestigious journals such as Nature, Science and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Suman Ravuri

28 papers receiving 1.5k citations

Hit Papers

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Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suman Ravuri 627 590 490 272 242 28 1.6k
Benjamin Kedem 347 0.6× 386 0.7× 378 0.8× 347 1.3× 264 1.1× 98 2.0k
Yunbo Wang 438 0.7× 396 0.7× 327 0.7× 104 0.4× 173 0.7× 27 1.6k
Weihua Hu 389 0.6× 726 1.2× 311 0.6× 68 0.3× 121 0.5× 40 1.8k
Wei Chu 230 0.4× 885 1.5× 246 0.5× 141 0.5× 226 0.9× 53 2.4k
Dino Ienco 353 0.6× 482 0.8× 324 0.7× 219 0.8× 352 1.5× 101 2.0k
P. Blonda 203 0.3× 496 0.8× 465 0.9× 115 0.4× 221 0.9× 84 1.7k
Wei Feng 289 0.5× 558 0.9× 358 0.7× 81 0.3× 137 0.6× 102 2.0k
Hui Wu 782 1.2× 456 0.8× 591 1.2× 67 0.2× 204 0.8× 57 2.2k
Lasse Holmström 499 0.8× 332 0.6× 219 0.4× 77 0.3× 114 0.5× 77 1.4k
Piotr Mirowski 348 0.6× 453 0.8× 275 0.6× 327 1.2× 160 0.7× 41 2.2k

Countries citing papers authored by Suman Ravuri

Since Specialization
Citations

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

Fields of papers citing papers by Suman Ravuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Ravuri

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

All Works

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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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