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Researcher · University of Arkansas Community College at Hope · United States

Paul W. Klipsch

Paul W. Klipsch publishes mostly in Signal Processing, Biomedical Engineering and Computer Vision and Pattern Recognition, on topics such as Speech and Audio Processing, Acoustic Wave Phenomena Research and Advanced Adaptive Filtering Techniques.

OpenAlex
World rank
#6,598,400
of 7,710,434 ranked researchers
Rank in United States
#1,536,374
of 1,627,098
Works
50
Citations
132
Citations per work
2.6
h-index
6
i10-index 3Top 78% in Signal Processing
Paul W. Klipsch

What does Paul W. Klipsch research?

Paul W. Klipsch's work is mostly in Computer Science (37%), Engineering (33%), Neuroscience (5%).

Physical Sciences: 35 works · 70.4% of their workComputer Science: 19 works · 37.3% of their workSignal Processing: 12 works · 24.6% of their workComputer Vision and Pattern Recognition: 6 works · 12.7% of their workEngineering: 17 works · 33.1% of their workBiomedical Engineering: 8 works · 16.1% of their workComputational Mechanics: 4 works · 8.5% of their workElectrical and Electronic Engineering: 4 works · 8.5% of their workEverything else: 12 works · 24.5% of their workLife Sciences: 3 works · 5.1% of their workNeuroscience: 3 works · 5.1% of their workCognitive Neuroscience: 3 works · 5.1% of their workTHEIR WORKPaul W. Klipsch50works
Life Sciences5%Physical Sciences70%

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 Science1937.3%
    2. Engineering1733.1%
  2. Everything else1224.5%
    1. Neuroscience35.1%
  1. 1Signal Processing25% of their works
  2. 2Biomedical Engineering16% of their works
  3. 3Computer Vision and Pattern Recognition13% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Computational Mechanics8% of their works
  6. 6Cognitive Neuroscience5% of their works

Research topics

Which keywords describe Paul W. Klipsch's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement, Acoustic Metamaterials, Phononic Crystals, Adaptive Filtering and Non-Gaussian Signal Processing.

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 18 words, with their numbers
  1. Deep Learning292 topics
  2. Neural Networks282 topics
  3. Audio-Visual Speech Recognition261 topic
  4. Speech Enhancement261 topic
  5. Acoustic Metamaterials191 topic
  6. Phononic Crystals191 topic
  7. Adaptive Filtering91 topic
  8. Non-Gaussian Signal Processing91 topic
  9. Interactive Evolutionary Computation71 topic
  10. Music Generation71 topic
  11. Cognitive Decline61 topic
  12. Hearing Loss61 topic
  13. Experimental Tools31 topic
  14. JPEG200031 topic
  15. Smartphones31 topic
  16. Wavelet Compression31 topic
  17. IEEE 145121 topic
  18. Smart Sensors21 topic

Where does Paul W. Klipsch work?

Paul W. Klipsch's main affiliation in the publication record is University of Arkansas Community College at Hope, United States.

How many publications and citations does Paul W. Klipsch have?

OpenAlex counts 50 works and 132 citations for Paul W. Klipsch, an h-index of 6, ranking #6,598,400 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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