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Researcher · Philips (Netherlands) · Netherlands

Hans Weda

Hans Weda publishes mostly in Computer Vision and Pattern Recognition, Biomedical Engineering and Signal Processing, on topics such as Advanced Chemical Sensor Technologies, Video Analysis and Summarization and Music and Audio Processing.

ORCID 0000-0001-6675-2270 OpenAlex
World rank
#532,344
of 7,710,434 ranked researchers
Rank in Netherlands
#13,052
of 107,149
Works
55
Citations
1.2k
Citations per work
22.5
h-index
21
i10-index 28Top 12% in Computer Vision and Pattern Recognition
Hans Weda

What does Hans Weda research?

Hans Weda's work is mostly in Computer Science (27%), Engineering (14%), Social Sciences (8%).

Physical Sciences: 26 works · 47.0% of their workComputer Science: 15 works · 26.6% of their workComputer Vision and Pattern Recognition: 10 works · 18.4% of their workSignal Processing: 5 works · 8.2% of their workEngineering: 8 works · 14.3% of their workBiomedical Engineering: 8 works · 14.3% of their workPhysics and Astronomy: 3 works · 6.1% of their workNuclear and High Energy Physics: 3 works · 6.1% of their workEverything else: 22 works · 39.4% of their workSocial Sciences: 4 works · 7.5% of their workSocial Sciences: 4 works · 7.5% of their workSociology and Political Science: 4 works · 7.5% of their workHealth Sciences: 3 works · 6.1% of their workMedicine: 3 works · 6.1% of their workPulmonary and Respiratory Medicine: 3 works · 6.1% of their workTHEIR WORKHans Weda55works
Physical Sciences47%Health Sciences6%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 Science1526.6%
    2. Engineering814.3%
    3. Physics and Astronomy36.1%
  2. Everything else2239.4%
    1. Social Sciences47.5%
    1. Medicine36.1%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Biomedical Engineering14% of their works
  3. 3Signal Processing8% of their works
  4. 4Sociology and Political Science8% of their works
  5. 5Nuclear and High Energy Physics6% of their works
  6. 6Pulmonary and Respiratory Medicine6% of their works

Research topics

Which keywords describe Hans Weda's research?

The keywords of their largest research topics: Breath Analysis, Electronic Nose, Content-Based Retrieval, Deep Learning, Video Summarization, Audio Signal Classification, Interactive Television and Music Information Retrieval.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 17 words, with their numbers
  1. Breath Analysis191 topic
  2. Electronic Nose191 topic
  3. Content-Based Retrieval141 topic
  4. Deep Learning142 topics
  5. Video Summarization141 topic
  6. Audio Signal Classification91 topic
  7. Interactive Television91 topic
  8. Music Information Retrieval91 topic
  9. Social TV91 topic
  10. ICU61 topic
  11. Ventilator-associated Pneumonia61 topic
  12. Feature Matching51 topic
  13. Local Descriptors51 topic
  14. Mass Spectrometry51 topic
  15. Metabolomics51 topic
  16. QCD41 topic
  17. charmonium41 topic

Where does Hans Weda work?

Hans Weda's main affiliation in the publication record is Philips (Netherlands), Netherlands.

How many publications and citations does Hans Weda have?

OpenAlex counts 55 works and 1,239 citations for Hans Weda, an h-index of 21, ranking #532,344 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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