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Researcher · Institut Polytechnique de Paris · France

Jean-Louis Baldinger

Jean-Louis Baldinger publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and General Health Professions, on topics such as Context-Aware Activity Recognition Systems, Healthcare Technology and Patient Monitoring and Anomaly Detection Techniques and Applications.

OpenAlex
World rank
#6,112,514
of 7,710,434 ranked researchers
Rank in France
#260,663
of 324,115
Works
28
Citations
193
Citations per work
6.9
h-index
6
i10-index 4Top 78% in Computer Vision and Pattern Recognition
Jean-Louis Baldinger

What does Jean-Louis Baldinger research?

Jean-Louis Baldinger's work is mostly in Computer Science (38%), Health Professions (13%), Medicine (13%).

Physical Sciences: 13 works · 47.5% of their workComputer Science: 11 works · 37.7% of their workComputer Vision and Pattern Recognition: 7 works · 24.6% of their workArtificial Intelligence: 4 works · 13.1% of their workEngineering: 3 works · 9.8% of their workElectrical and Electronic Engineering: 3 works · 9.8% of their workEverything else: 7 works · 26.3% of their workHealth Sciences: 7 works · 26.2% of their workHealth Professions: 4 works · 13.1% of their workGeneral Health Professions: 4 works · 13.1% of their workMedicine: 4 works · 13.1% of their workSurgery: 3 works · 9.8% of their workPublic Health, Environmental and Occupational Health: 1 works · 3.3% of their workTHEIR WORKJean-LouisBaldinger28works
Physical Sciences48%Health Sciences26%

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 Science1137.7%
    2. Engineering39.8%
  2. Everything else726.3%
    1. Health Professions413.1%
    2. Medicine413.1%
  1. 1Computer Vision and Pattern Recognition25% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3General Health Professions13% of their works
  4. 4Surgery10% of their works
  5. 5Electrical and Electronic Engineering10% of their works
  6. 6Public Health, Environmental and Occupational Health3% of their works

Research topics

Which keywords describe Jean-Louis Baldinger's research?

The keywords of their largest research topics: Deep Learning, Activity Recognition, Pervasive Computing, Alarm Fatigue, Clinical Alarms, Anomaly Detection, Home Automation and Unsupervised.

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. Deep Learning183 topics
  2. Activity Recognition121 topic
  3. Pervasive Computing121 topic
  4. Alarm Fatigue61 topic
  5. Clinical Alarms61 topic
  6. Anomaly Detection41 topic
  7. Home Automation41 topic
  8. Unsupervised41 topic
  9. Wireless41 topic
  10. Healthcare Legislation31 topic
  11. Patient Rights31 topic
  12. Action Recognition21 topic
  13. Healthcare Policy21 topic
  14. Indoor Localization21 topic
  15. Pose Estimation21 topic
  16. Public Health21 topic
  17. Wireless Sensor Networks21 topic

Where does Jean-Louis Baldinger work?

Jean-Louis Baldinger's main affiliation in the publication record is Institut Polytechnique de Paris, France.

How many publications and citations does Jean-Louis Baldinger have?

OpenAlex counts 28 works and 193 citations for Jean-Louis Baldinger, an h-index of 6, ranking #6,112,514 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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