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Researcher · University of Mons · Belgium

Thomas Drugman

Thomas Drugman publishes mostly in Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, on topics such as Speech Recognition and Synthesis, Speech and Audio Processing and Music and Audio Processing.

ORCID 0000-0002-1491-7878 OpenAlex
World rank
#899,065
of 7,710,434 ranked researchers
Rank in Belgium
#8,245
of 67,186
Works
174
Citations
3.6k
Citations per work
20.7
h-index
28
i10-index 57Top 5.8% in Artificial Intelligence
Thomas Drugman

What does Thomas Drugman research?

Thomas Drugman's work is mostly in Computer Science (77%), Medicine (9%), Psychology (8%).

Physical Sciences: 133 works · 76.7% of their workComputer Science: 133 works · 76.7% of their workArtificial Intelligence: 73 works · 41.7% of their workSignal Processing: 57 works · 32.6% of their workComputer Vision and Pattern Recognition: 4 works · 2.4% of their workHealth Sciences: 15 works · 8.8% of their workMedicine: 15 works · 8.8% of their workPhysiology: 13 works · 7.2% of their workPulmonary and Respiratory Medicine: 3 works · 1.6% of their workSocial Sciences: 14 works · 8.2% of their workPsychology: 14 works · 8.2% of their workExperimental and Cognitive Psychology: 14 works · 8.2% of their workEverything else: 11 works · 6.3% of their workTHEIR WORKThomas Drugman174works
Physical Sciences77%Health Sciences9%Social Sciences8%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science13376.7%
    1. Medicine158.8%
    1. Psychology148.2%
  4. Everything else116.3%
  1. 1Artificial Intelligence42% of their works
  2. 2Signal Processing33% of their works
  3. 3Experimental and Cognitive Psychology8% of their works
  4. 4Physiology7% of their works
  5. 5Computer Vision and Pattern Recognition2% of their works
  6. 6Pulmonary and Respiratory Medicine2% of their works

Research topics

Which keywords describe Thomas Drugman's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Acoustic Modeling, Deep Neural Networks, Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement and Audio Signal Classification.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Convolutional Neural Networks1992 topics
  2. Deep Learning1582 topics
  3. Acoustic Modeling1401 topic
  4. Deep Neural Networks1401 topic
  5. Neural Networks1132 topics
  6. Audio-Visual Speech Recognition991 topic
  7. Speech Enhancement991 topic
  8. Audio Signal Classification591 topic
  9. Music Information Retrieval591 topic
  10. Phonetics381 topic
  11. Speech Perception381 topic
  12. Parkinson's Disease341 topic
  13. Voice Disorders341 topic
  14. Neural Machine Translation331 topic
  15. Statistical Machine Translation331 topic
  16. Markov Decision Processes191 topic
  17. Spoken Dialogue Systems191 topic
  18. Machine Translation141 topic
  19. Word Representation141 topic

Where does Thomas Drugman work?

Thomas Drugman's main affiliation in the publication record is University of Mons, Belgium.

How many publications and citations does Thomas Drugman have?

OpenAlex counts 174 works and 3,595 citations for Thomas Drugman, an h-index of 28, ranking #899,065 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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