Thomas Drugman
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Experimental and Cognitive Psychology top 2%
- Physiology top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Thierry DutoitJohn KaneAbeer AlwanTuomo RaitioStefan SchererGilles DegottexBarış BozkurtChrister Gobl
- Topics
- Speech Recognition and Synthesis (73 papers)Speech and Audio Processing (55 papers)Music and Audio Processing (30 papers)
- Journals
- NeurocomputingIEEE Signal Processing LettersIEEE Journal of Selected Topics in Signal Processing
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Thomas Drugman
80 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 1.7k
- Signal Processing 1.4k
- Experimental and Cognitive Psychology 708
- Physiology 525
- Computer Vision and Pattern Recognition 262
Countries citing papers authored by Thomas Drugman
This map shows the geographic impact of Thomas Drugman'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 Drugman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Drugman more than expected).
Fields of papers citing papers by Thomas Drugman
This network shows the impact of papers produced by Thomas Drugman. 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 Drugman. The network helps show where Thomas Drugman may publish in the future.
Co-authorship network of co-authors of Thomas Drugman
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Drugman. A scholar is included among the top collaborators of Thomas Drugman 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 Thomas Drugman. Thomas Drugman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 43 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | 59 | |
| 7 | 26 | |
| 8 | 13 | |
| 9 | COVAREP — A collaborative voice analysis repository for speech technologiesbreakdown → | 429 |
| 10 | 53 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 41 | |
| 14 | 1 | |
| 15 | 163 | |
| 16 | On the mutual information of glottal source estimation techniques for the automatic detection of speech pathologies. | 1 |
| 17 | 44 | |
| 18 | Voice source parameters estimation by fitting the glottal formant and the inverse filtering open phase | 6 |
| 19 | 6 | |
| 20 | 18 |
About Thomas Drugman
Thomas Drugman is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (73 papers), Speech and Audio Processing (55 papers) and Music and Audio Processing (30 papers). The work is most often cited by research in Signal Processing (1.4k citations), Experimental and Cognitive Psychology (708 citations) and Artificial Intelligence (1.7k citations). Thomas Drugman has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Thierry Dutoit, John Kane, Abeer Alwan, Tuomo Raitio, Stefan Scherer, Gilles Degottex, Barış Bozkurt, Christer Gobl, Yannis Stylianou and Jón Guðnason. Their work appears in journals such as Neurocomputing, IEEE Signal Processing Letters and IEEE Journal of Selected Topics in Signal Processing.
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.