Apoorv Vyas

1.1k total citations
7 papers, 182 citations indexed

About

Apoorv Vyas is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Apoorv Vyas has authored 7 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Signal Processing, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Apoorv Vyas's work include Neural Networks and Applications (2 papers), Music and Audio Processing (2 papers) and Speech Recognition and Synthesis (2 papers). Apoorv Vyas is often cited by papers focused on Neural Networks and Applications (2 papers), Music and Audio Processing (2 papers) and Speech Recognition and Synthesis (2 papers). Apoorv Vyas collaborates with scholars based in Switzerland, India and United States. Apoorv Vyas's co-authors include Nikolaos Pappas, François Fleuret, Angelos Katharopoulos, V. Natarajan, Hervé Bourlard, Prithwijit Guha, Michael Auli, Alexei Baevski, Philip N. Garner and Wei-Ning Hsu and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), arXiv (Cornell University) and Interspeech 2022.

In The Last Decade

Apoorv Vyas

6 papers receiving 164 citations

Peers

Apoorv Vyas
Apoorv Vyas
Citations per year, relative to Apoorv Vyas Apoorv Vyas (= 1×) peers Chuanxin Tang

Countries citing papers authored by Apoorv Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Apoorv Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apoorv Vyas

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

All Works

7 of 7 papers shown
1.
2.
Vyas, Apoorv, Wei-Ning Hsu, Michael Auli, & Alexei Baevski. (2022). On-demand compute reduction with stochastic wav2vec 2.0. Interspeech 2022. 3 indexed citations
3.
Katharopoulos, Angelos, Apoorv Vyas, Nikolaos Pappas, & François Fleuret. (2020). Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. arXiv (Cornell University). 1. 5156–5165. 145 indexed citations
4.
Vyas, Apoorv, et al.. (2019). Analyzing Uncertainties in Speech Recognition Using Dropout. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6730–6734. 10 indexed citations
5.
Vyas, Apoorv, et al.. (2019). Unbiased Semi-Supervised LF-MMI Training Using Dropout. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1576–1580. 2 indexed citations
6.
Natarajan, V. & Apoorv Vyas. (2016). Power efficient compressive sensing for continuous monitoring of ECG and PPG in a wearable system. 336–341. 14 indexed citations
7.
Vyas, Apoorv, et al.. (2014). Commercial Block Detection in Broadcast News Videos. 1–7. 8 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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