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Researcher · University of Parma · Italy

Paolo Ciampolini

Paolo Ciampolini publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering, on topics such as Context-Aware Activity Recognition Systems, Non-Invasive Vital Sign Monitoring and EEG and Brain-Computer Interfaces.

ORCID 0000-0001-8944-2152 OpenAlex
World rank
#2,816,736
of 7,710,434 ranked researchers
Rank in Italy
#95,052
of 242,206
Works
87
Citations
1.3k
Citations per work
15.4
h-index
17
i10-index 34Top 18% in Computer Vision and Pattern Recognition
Paolo Ciampolini

What does Paolo Ciampolini research?

Paolo Ciampolini's work is mostly in Computer Science (27%), Engineering (26%), Neuroscience (7%).

Physical Sciences: 46 works · 53.3% of their workComputer Science: 24 works · 27.3% of their workComputer Vision and Pattern Recognition: 16 works · 18.5% of their workComputer Networks and Communications: 8 works · 8.8% of their workEngineering: 23 works · 26.0% of their workElectrical and Electronic Engineering: 13 works · 15.4% of their workBiomedical Engineering: 9 works · 10.6% of their workEverything else: 29 works · 33.5% of their workLife Sciences: 6 works · 7.0% of their workNeuroscience: 6 works · 7.0% of their workCognitive Neuroscience: 6 works · 7.0% of their workHealth Sciences: 5 works · 6.2% of their workMedicine: 5 works · 6.2% of their workCardiology and Cardiovascular Medicine: 5 works · 6.2% of their workTHEIR WORKPaolo Ciampolini87works
Life Sciences7%Physical Sciences53%Health Sciences6%

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 Science2427.3%
    2. Engineering2326.0%
  2. Everything else2933.5%
    1. Neuroscience67.0%
    1. Medicine56.2%
  1. 1Computer Vision and Pattern Recognition18% of their works
  2. 2Electrical and Electronic Engineering15% of their works
  3. 3Biomedical Engineering11% of their works
  4. 4Computer Networks and Communications9% of their works
  5. 5Cognitive Neuroscience7% of their works
  6. 6Cardiology and Cardiovascular Medicine6% of their works

Research topics

Which keywords describe Paolo Ciampolini's research?

The keywords of their largest research topics: Wearable Sensors, Deep Learning, Activity Recognition, Pervasive Computing, Physiological Monitoring, Photoplethysmography, Remote Monitoring and Brain-Computer Interfaces.

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. Wearable Sensors602 topics
  2. Deep Learning522 topics
  3. Activity Recognition411 topic
  4. Pervasive Computing411 topic
  5. Physiological Monitoring202 topics
  6. Photoplethysmography191 topic
  7. Remote Monitoring191 topic
  8. Brain-Computer Interfaces141 topic
  9. EEG Analysis141 topic
  10. Home Automation141 topic
  11. Wireless141 topic
  12. Arrhythmia Detection111 topic
  13. ECG Signal111 topic
  14. Electrode Arrays111 topic
  15. Neural Stimulation111 topic
  16. Alarm Fatigue91 topic
  17. Clinical Alarms91 topic
  18. Eye Tracking91 topic
  19. Gaze Estimation91 topic

Where does Paolo Ciampolini work?

Paolo Ciampolini's main affiliation in the publication record is University of Parma, Italy.

How many publications and citations does Paolo Ciampolini have?

OpenAlex counts 87 works and 1,342 citations for Paolo Ciampolini, an h-index of 17, ranking #2,816,736 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.

Other researchers named Paolo Ciampolini

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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