Thomas Hueber

2.3k citations
53 papers · 1.4k · h-index 17

Impact in

Papers in

    • Speech and Audio Processing 27
    • Music and Audio Processing 19
    • Blind Source Separation Techniques 11
    • Speech Recognition and Synthesis 21
    • Speech and dialogue systems 6

Thomas Hueber

50 papers receiving 1.3k citations

Peers

Thomas Hueber
Comparison fields: 5 of 105
  • Signal Processing 787
  • Human-Computer Interaction 180
  • Artificial Intelligence 697
  • Cognitive Neuroscience 335
  • Experimental and Cognitive Psychology 223
Replace Zdeněk Smékal with:
Zdeněk Smékal Czechia
Giovanni Costantini Italy
Philip J. B. Jackson United Kingdom
Laurent Girin France
Okko Räsänen Finland
Stephen Cox United Kingdom
Guy J. Brown United Kingdom
Jon Barker United Kingdom
Mehmet Akın Türkiye
Mohammed Imamul Hassan Bhuiyan Bangladesh
Thomas Hueber relative to Zdeněk Smékal Czechia Zdeněk Smékal's profile →
Citations per field
00.5×4.9×
Zdeněk Smékal · 1×
Citations per year

Countries citing papers authored by Thomas Hueber

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hueber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Hueber, 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 Thomas Hueber Line = papers co-authored together Thomas Hueber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009336
2 2017137
3 2009136
4 2021108
5 200775
6 201652
7
Acquisition of Ultrasound, Video and Acoustic Speech Data for a Silent-Speech Interface Application
200851
8 201648
9 202145
10 201739
11 201538
12 201726
13 201122
14 200822
15 201018
16 200718
17 201516
18 200916
19 201216
20 201415

About Thomas Hueber

Thomas Hueber is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (21 papers), Music and Audio Processing (19 papers), Blind Source Separation Techniques (11 papers), EEG and Brain-Computer Interfaces (7 papers), Speech and dialogue systems (6 papers), Hearing Impairment and Communication (4 papers) and Phonetics and Phonology Research (4 papers). The work is most often cited by research in Signal Processing (787 citations), Human-Computer Interaction (180 citations), Artificial Intelligence (697 citations), Cognitive Neuroscience (335 citations) and Experimental and Cognitive Psychology (223 citations). Thomas Hueber has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Jonathan S. Brumberg, Tanja Schultz, B. Denby, Laurent Girin, Bruce Denby, Maureen Stone, Kiyoshi Honda, Gérard Chollet, James M. Gilbert and Gérard Dreyfus. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Speech Communication, Clinical Linguistics & Phonetics, Computer Speech & Language and Neuropsychologia.

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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