Samuel Thomas

3.8k citations
107 papers · 2.8k · h-index 26

Impact in

    • Speech Recognition and Synthesis
    • Speech and dialogue systems
    • Domain Adaptation and Few-Shot Learning
    • Topic Modeling
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

    • Speech Recognition and Synthesis 89
    • Speech and dialogue systems 6
    • Domain Adaptation and Few-Shot Learning 3
    • Neural Networks and Applications 2
    • Speech and Audio Processing 11
    • Music and Audio Processing 2

Samuel Thomas

103 papers receiving 2.5k citations

Peers

Samuel Thomas
Comparison fields: 5 of 74
  • Artificial Intelligence 2.2k
  • Signal Processing 296
  • Computer Vision and Pattern Recognition 390
  • Experimental and Cognitive Psychology 60
  • Computational Mathematics 2
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Samuel Thomas relative to Anmol Gulati United States Anmol Gulati's profile →
Citations per field
00.5×10×20×34.2×
Anmol Gulati · 1×
Citations per year

Countries citing papers authored by Samuel Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samuel Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel Thomas Line = papers co-authored together Samuel Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017265
2 2010232
3 2017174
4 2010139
5 2010136
6 2022117
7 201399
8 201290
9 202184
10 201481
11 201380
12 201167
13 201060
14 200859
15 202156
16 201847
17 201344
18 201444
19 201342
20 201440

About Samuel Thomas

Samuel Thomas is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Philosophy and Nuclear Energy and Engineering, having authored 107 papers that have together received 2.8k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (89 papers), Speech and Audio Processing (11 papers), Multimodal Machine Learning Applications (9 papers), Speech and dialogue systems (6 papers), Domain Adaptation and Few-Shot Learning (3 papers), Neural Networks and Applications (2 papers), Music and Audio Processing (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Artificial Intelligence (2.2k citations), Signal Processing (296 citations), Computer Vision and Pattern Recognition (390 citations), Experimental and Cognitive Psychology (60 citations) and Computational Mathematics (2 citations). Samuel Thomas has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Hynek Hermansky B, Sriram Ganapathy, George Saon, Bhuvana Ramabhadran, Brian E. D. Kingsbury, Gakuto Kurata, Kartik Audhkhasi, Michael Picheny, Richard Cameron Rose and Ondřej Glembek. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Signal Processing Letters, Language Resources and Evaluation, IEEE/ACM Transactions on Audio Speech and Language Processing and Computer Speech & Language.

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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