Suman Ravuri

4.3k total citations · 2 hit papers
28 papers, 1.7k 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 1.7k 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, Alberto Arribas, N. Robinson, Dmitry Kangin, Rachel Prudden and Weihua Hu 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

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.

Skilful precipitation nowcasting using deep generative models of radar

2021 554 citations Suman Ravuri, Karel Lenc et al. Nature profile →
Learning skillful medium-range global weather forecasting

2023 535 citations Rémi Lam, Álvaro Sánchez‐González et al. Science profile →

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	Learning skillful medium-range global weather forecasting breakdown → 2023 ·Science ·Rémi Lam, Álvaro Sánchez‐González, (unknown), Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, (unknown), Stephan Hoyer, George Holland, Oriol Vinyals, (unknown), Alexander Pritzel, Shakir Mohamed, Peter Battaglia	535
2	Understanding Deep Generative Models with Generalized Empirical Likelihoods 2023 ·Suman Ravuri, (unknown), Shakir Mohamed, Marc Peter Deisenroth	1
3	Skilful precipitation nowcasting using deep generative models of radar breakdown → 2021 ·Nature ·Suman Ravuri, Karel Lenc, (unknown), Dmitry Kangin, Rémi Lam, Piotr Mirowski, M. A. Fitzsimons, Maria Athanassiadou, (unknown), (unknown), Rachel Prudden, Amol Mandhane, Aidan Clark, Andrew Brock, Karen Simonyan, Raia Hadsell, N. Robinson, Ellen Clancy, Alberto Arribas, Shakir Mohamed	554
4	Classification Accuracy Score for Conditional Generative Models 2019 ·arXiv (Cornell University) ·Suman Ravuri, Oriol Vinyals	21
5	How neural network features and depth modify statistical properties of HMM acoustic models 2016 ·Suman Ravuri, Steven Wegmann	1
6	How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models 2016 ·Suman Ravuri, Steven Wegmann	1
7	A comparative study of recurrent neural network models for lexical domain classification 2016 ·Suman Ravuri, Andreas Stolcke	30
8	Recurrent neural network and LSTM models for lexical utterance classification 2015 ·Suman Ravuri, Andreas Stolcke	107
9	Hybrid DNN-Latent structured SVM acoustic models for continuous speech recognition 2015 ·Suman Ravuri	4
10	Hybrid MLP/structured-SVM tandem systems for large vocabulary and robust ASR 2014 ·Suman Ravuri	3
11	Neural network models for lexical addressee detection 2014 ·Suman Ravuri, Andreas Stolcke	5
12	Addressee detection for dialog systems using temporal and spectral dimensions of speaking style 2013 ·Elizabeth Shriberg, Andreas Stolcke, Suman Ravuri	18
13	Easy does it: Robust spectro-temporal many-stream ASR without fine tuning streams 2012 ·Suman Ravuri, Nelson Morgan	3
14	Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR 2011 ·Oriol Vinyals, Suman Ravuri	44
15	On the Use of Spectro-Temporal Features in Noise-Additive Speech 2011 ·Suman Ravuri	2
16	Transcribing Mandarin Broadcast Speech Using Multi-Layer Perceptron Acoustic Features 2011 ·IEEE Transactions on Audio Speech and Language Processing ·Fabio Valente, Mathew Magimai.-Doss, Christian Plahl, Suman Ravuri, (unknown)	4
17	The IBM 2009 GALE Arabic speech transcription system 2011 ·Brian Kingsbury, Hagen Soltau, George Saon, Stephen M. Chu, Hong-Kwang Jeff Kuo, Lidia Mangu, Suman Ravuri, Nelson Morgan, Adam Janin	17
18	Using spectro-temporal features to improve AFE feature extraction for ASR 2010 ·Suman Ravuri, Nelson Morgan	12
19	Multi-stream to many-stream: using spectro-temporal features for ASR 2009 ·Sherry Y. Zhao, Suman Ravuri, Nelson Morgan	21
20	Hierarchical processing of the modulation spectrum for GALE Mandarin LVCSR system 2009 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Fabio Valente, Mathew Magimai.-Doss, Christian Plahl, Suman Ravuri	14

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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