Rajiv Mathews

2.0k total citations
13 papers, 103 citations indexed

About

Rajiv Mathews is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Science Applications. According to data from OpenAlex, Rajiv Mathews has authored 13 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Computer Science Applications. Recurrent topics in Rajiv Mathews's work include Speech Recognition and Synthesis (9 papers), Topic Modeling (9 papers) and Privacy-Preserving Technologies in Data (7 papers). Rajiv Mathews is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Topic Modeling (9 papers) and Privacy-Preserving Technologies in Data (7 papers). Rajiv Mathews collaborates with scholars based in United States. Rajiv Mathews's co-authors include Françoise Beaufays, Om Thakkar, Mingqing Chen, Ananda Theertha Suresh, Cyril Allauzen, Michael Riley, Mingqing Chen, Jessica H. Nguyen, Steve Chien and Kurt Partridge and has published in prestigious journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.

In The Last Decade

Rajiv Mathews

12 papers receiving 102 citations

Peers

Countries citing papers authored by Rajiv Mathews

Since Specialization

Citations

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

Fields of papers citing papers by Rajiv Mathews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Mathews

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

#	Work	Indexed citations
1	Unintended Memorization in Large ASR Models, and How to Mitigate It 2024 ·Lun Wang, Om Thakkar, Rajiv Mathews	3
2	FedAQT: Accurate Quantized Training with Federated Learning 2024 ·Renkun Ni, Yonghui Xiao, (unknown), (unknown), Tom Goldstein, Ananda Theertha Suresh, Ignacio López Moreno, Mingqing Chen, Rajiv Mathews	0
3	Online Model Compression for Federated Learning with Large Models 2023 ·Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen	6
4	Scaling Language Model Size in Cross-Device Federated Learning 2022 ·(unknown), (unknown), (unknown), Mingqing Chen, (unknown), (unknown), Rajiv Mathews	7
5	UserLibri: A Dataset for ASR Personalization Using Only Text 2022 ·Interspeech 2022 ·(unknown), (unknown), Ehsan Variani, (unknown), Rajiv Mathews, Khe Chai Sim, (unknown), Mingqing Chen, (unknown)	2
6	Extracting Targeted Training Data from ASR Models, and How to Mitigate It 2022 ·Interspeech 2022 ·Ehsan Amid, Om Thakkar, Arun Narayanan, Rajiv Mathews, Françoise Beaufays	3
7	A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·(unknown), Om Thakkar, (unknown), Rajiv Mathews, Peter Chin, Françoise Beaufays	5
8	Production federated keyword spotting via distillation, filtering, and joint federated-centralized training 2022 ·Interspeech 2022 ·(unknown), Kurt Partridge, Neng Chen, Sean Augenstein, (unknown), Hyun Jin Park, Alex Park, (unknown), Jessica H. Nguyen, Ignacio López Moreno, Rajiv Mathews, Françoise Beaufays	10
9	Detecting Unintended Memorization in Language-Model-Fused ASR 2022 ·Interspeech 2022 ·(unknown), Steve Chien, Om Thakkar, Rajiv Mathews	5
10	Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·(unknown), (unknown), (unknown), (unknown), Mingqing Chen, Rajiv Mathews	6
11	Understanding Unintended Memorization in Language Models Under Federated Learning 2021 ·Om Thakkar, (unknown), Rajiv Mathews, Françoise Beaufays	22
12	Communication-Efficient Agnostic Federated Averaging 2021 ·(unknown), Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh	6
13	Federated Learning of N-Gram Language Models 2019 ·Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, (unknown), Cyril Allauzen, Françoise Beaufays, Michael Riley	28

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.

Explore authors with similar magnitude of impact