Tom Bagby

21 total papers · 802 total citations
7 papers, 399 citations indexed

About

Tom Bagby is a scholar working on Artificial Intelligence, Signal Processing and Cancer Research. According to data from OpenAlex, Tom Bagby has authored 7 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Signal Processing and 1 paper in Cancer Research. Recurrent topics in Tom Bagby's work include Speech Recognition and Synthesis (6 papers), Music and Audio Processing (5 papers) and Speech and Audio Processing (4 papers). Tom Bagby is often cited by papers focused on Speech Recognition and Synthesis (6 papers), Music and Audio Processing (5 papers) and Speech and Audio Processing (4 papers). Tom Bagby collaborates with scholars based in United States. Tom Bagby's co-authors include Khe Chai Sim, Kanishka Rao, Tara N. Sainath, David Rybach, Ruoming Pang, Bo Li, Ding Zhao, Shuo-Yiin Chang, Alexander Gruenstein and Anjuli Kannan and has published in prestigious journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Tom Bagby

7 papers receiving 351 citations

Hit Papers

Streaming End-to-end Spee... 2019 2026 2021 2023 2019 100 200 300
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Streaming End-to-end Speech Recognition for Mobile Devices
    2019 343 citations Yanzhang He, Tara N. Sainath et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Tom Bagby 357 244 33 16 14 7 399
Vitaly Lavrukhin 307 0.9× 211 0.9× 44 1.3× 13 0.8× 7 0.5× 20 367
D.B. Paul 394 1.1× 247 1.0× 65 2.0× 9 0.6× 7 0.5× 12 431
P. Kohn 331 0.9× 316 1.3× 56 1.7× 31 1.9× 18 1.3× 12 403
Matt Shannon 317 0.9× 250 1.0× 26 0.8× 5 0.3× 5 0.4× 13 372
Masao Someki 350 1.0× 239 1.0× 32 1.0× 17 1.1× 2 0.1× 2 434
Hossein Hadian 298 0.8× 207 0.8× 30 0.9× 9 0.6× 9 0.6× 16 335
Mengxiao Bi 273 0.8× 254 1.0× 62 1.9× 28 1.8× 2 0.1× 13 394
Jianyuan Zhong 214 0.6× 247 1.0× 46 1.4× 23 1.4× 4 0.3× 3 348
Sankaran Panchapagesan 320 0.9× 262 1.1× 38 1.2× 16 1.0× 2 0.1× 17 382
Aruna Bayya 262 0.7× 286 1.2× 48 1.5× 12 0.8× 3 0.2× 11 336

Countries citing papers authored by Tom Bagby

Since Specialization
Citations

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

Fields of papers citing papers by Tom Bagby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Bagby

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Bagby. A scholar is included among the top collaborators of Tom Bagby 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 Tom Bagby. Tom Bagby 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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2026