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Researcher · Helmut Schmidt University · Germany

Pascal Penava

Pascal Penava publishes mostly in Cognitive Neuroscience, Computer Vision and Pattern Recognition and Plant Science, on topics such as EEG and Brain-Computer Interfaces, Functional Brain Connectivity Studies and Industrial Vision Systems and Defect Detection.

ORCID 0009-0004-9870-8193 OpenAlex
World rank
#1,030,950
of 7,710,434 ranked researchers
Rank in Germany
#50,780
of 364,343
Works
23
Citations
209
Citations per work
9.1
h-index
8
i10-index 7Top 77% in Cognitive Neuroscience
Pascal Penava

What does Pascal Penava research?

Pascal Penava's work is mostly in Neuroscience (16%), Engineering (11%), Agricultural and Biological Sciences (9%).

Everything else: 12 works · 50.0% of their workLife Sciences: 6 works · 25.0% of their workNeuroscience: 4 works · 16.1% of their workCognitive Neuroscience: 4 works · 16.1% of their workAgricultural and Biological Sciences: 2 works · 8.9% of their workPlant Science: 2 works · 8.9% of their workPhysical Sciences: 5 works · 19.6% of their workEngineering: 2 works · 10.7% of their workIndustrial and Manufacturing Engineering: 2 works · 7.1% of their workBuilding and Construction: 1 works · 3.6% of their workComputer Science: 2 works · 8.9% of their workComputer Vision and Pattern Recognition: 2 works · 8.9% of their workHealth Sciences: 1 works · 5.4% of their workMedicine: 1 works · 5.4% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 5.4% of their workTHEIR WORKPascal Penava23works
Life Sciences25%Physical Sciences20%Health Sciences5%

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. Everything else1250.0%
    1. Neuroscience416.1%
    2. Agricultural and Biological Sciences28.9%
    1. Engineering210.7%
    2. Computer Science28.9%
    1. Medicine15.4%
  1. 1Cognitive Neuroscience16% of their works
  2. 2Computer Vision and Pattern Recognition9% of their works
  3. 3Plant Science9% of their works
  4. 4Industrial and Manufacturing Engineering7% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Building and Construction4% of their works

Research topics

Which keywords describe Pascal Penava's research?

The keywords of their largest research topics: Brain-Computer Interfaces, Deep Learning, EEG Analysis, Machine Vision, Fabric Defect Detection, Functional Connectivity, Resting-State fMRI and Texture 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 18 words, with their numbers
  1. Brain-Computer Interfaces51 topic
  2. Deep Learning52 topics
  3. EEG Analysis51 topic
  4. Machine Vision52 topics
  5. Fabric Defect Detection31 topic
  6. Functional Connectivity31 topic
  7. Resting-State fMRI31 topic
  8. Texture Analysis31 topic
  9. Ground-Penetrating Radar21 topic
  10. Multivariate Calibration21 topic
  11. Near-Infrared Spectroscopy21 topic
  12. Plant Disease Detection21 topic
  13. Sedimentology21 topic
  14. Smart Farming21 topic
  15. Decomposition11 topic
  16. Diptera11 topic
  17. Forensic Entomology11 topic
  18. Phylogeny11 topic

Where does Pascal Penava work?

Pascal Penava's main affiliation in the publication record is Helmut Schmidt University, Germany.

How many publications and citations does Pascal Penava have?

OpenAlex counts 23 works and 209 citations for Pascal Penava, an h-index of 8, ranking #1,030,950 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.

Discussion

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