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Researcher · Auckland University of Technology · New Zealand

Tom James Moir

Tom James Moir publishes mostly in Signal Processing, Computational Mechanics and Control and Systems Engineering, on topics such as Advanced Adaptive Filtering Techniques, Speech and Audio Processing and Blind Source Separation Techniques.

ORCID 0000-0002-4291-6143 OpenAlex
World rank
#6,743,183
of 7,710,434 ranked researchers
Rank in New Zealand
#20,143
of 21,128
Works
148
Citations
896
Citations per work
6.1
h-index
16
i10-index 25Top 19% in Signal Processing
Tom James Moir

What does Tom James Moir research?

Tom James Moir's work is mostly in Computer Science (43%), Engineering (37%).

Physical Sciences: 118 works · 80.0% of their workComputer Science: 64 works · 43.0% of their workSignal Processing: 47 works · 31.9% of their workArtificial Intelligence: 10 works · 6.9% of their workComputer Vision and Pattern Recognition: 6 works · 4.2% of their workEngineering: 55 works · 37.0% of their workComputational Mechanics: 26 works · 17.5% of their workControl and Systems Engineering: 20 works · 13.6% of their workElectrical and Electronic Engineering: 9 works · 5.9% of their workEverything else: 30 works · 20.0% of their workTHEIR WORKTom James Moir148works
Physical Sciences80%

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 Science6443.0%
    2. Engineering5537.0%
  2. Everything else3020.0%
  1. 1Signal Processing32% of their works
  2. 2Computational Mechanics18% of their works
  3. 3Control and Systems Engineering14% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Electrical and Electronic Engineering6% of their works
  6. 6Computer Vision and Pattern Recognition4% of their works

Research topics

Which keywords describe Tom James Moir's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Adaptive Filtering, Non-Gaussian Signal Processing, Audio-Visual Speech Recognition, Speech Enhancement, Blind Separation and Independent Component Analysis.

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. Deep Learning923 topics
  2. Neural Networks742 topics
  3. Adaptive Filtering661 topic
  4. Non-Gaussian Signal Processing661 topic
  5. Audio-Visual Speech Recognition641 topic
  6. Speech Enhancement641 topic
  7. Blind Separation411 topic
  8. Independent Component Analysis411 topic
  9. Convolutional Neural Networks282 topics
  10. Parameter Estimation201 topic
  11. System Identification201 topic
  12. Audio Signal Classification181 topic
  13. Music Information Retrieval181 topic
  14. Model Predictive Control111 topic
  15. Optimization111 topic
  16. IEEE 1451101 topic
  17. Image Denoising101 topic
  18. Smart Sensors101 topic
  19. Sparse Representations101 topic

Where does Tom James Moir work?

Tom James Moir's main affiliation in the publication record is Auckland University of Technology, New Zealand.

How many publications and citations does Tom James Moir have?

OpenAlex counts 148 works and 896 citations for Tom James Moir, an h-index of 16, ranking #6,743,183 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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