Science Explorer Back to mapMap
Discussion
Researcher · University of Pavia · Italy

Micaela Schmid

Micaela Schmid publishes mostly in Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Computer Vision and Pattern Recognition, on topics such as Balance, Gait, and Falls Prevention, Muscle activation and electromyography studies and Motor Control and Adaptation.

ORCID 0000-0003-2537-8723 OpenAlex
World rank
#2,628,914
of 7,710,434 ranked researchers
Rank in Italy
#88,392
of 242,206
Works
43
Citations
880
Citations per work
20.5
h-index
14
i10-index 17Top 41% in Biomedical Engineering
Micaela Schmid

What does Micaela Schmid research?

Micaela Schmid's work is mostly in Engineering (21%), Medicine (13%), Health Professions (10%).

Everything else: 17 works · 38.7% of their workPhysical Sciences: 13 works · 30.2% of their workEngineering: 9 works · 20.8% of their workBiomedical Engineering: 9 works · 20.8% of their workComputer Science: 4 works · 9.4% of their workComputer Vision and Pattern Recognition: 4 works · 9.4% of their workHealth Sciences: 10 works · 23.6% of their workMedicine: 6 works · 13.2% of their workOrthopedics and Sports Medicine: 3 works · 7.5% of their workRehabilitation: 2 works · 5.7% of their workHealth Professions: 4 works · 10.4% of their workPhysical Therapy, Sports Therapy and Rehabilitation: 4 works · 10.4% of their workLife Sciences: 3 works · 7.5% of their workNeuroscience: 3 works · 7.5% of their workCognitive Neuroscience: 3 works · 7.5% of their workTHEIR WORKMicaela Schmid43works
Life Sciences8%Physical Sciences30%Health Sciences24%

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 else1738.7%
    1. Engineering920.8%
    2. Computer Science49.4%
    1. Medicine613.2%
    2. Health Professions410.4%
    1. Neuroscience37.5%
  1. 1Biomedical Engineering21% of their works
  2. 2Physical Therapy, Sports Therapy and Rehabilitation10% of their works
  3. 3Computer Vision and Pattern Recognition9% of their works
  4. 4Cognitive Neuroscience8% of their works
  5. 5Orthopedics and Sports Medicine8% of their works
  6. 6Rehabilitation6% of their works

Research topics

Which keywords describe Micaela Schmid's research?

The keywords of their largest research topics: Fall Risk, Gait Speed, Rehabilitation, Deep Learning, Electromyography, Muscle Fatigue, Cerebral Palsy and ICF Model.

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. Fall Risk111 topic
  2. Gait Speed111 topic
  3. Rehabilitation112 topics
  4. Deep Learning102 topics
  5. Electromyography81 topic
  6. Muscle Fatigue81 topic
  7. Cerebral Palsy61 topic
  8. ICF Model61 topic
  9. Motor Control61 topic
  10. Motor Recovery61 topic
  11. Neural Plasticity61 topic
  12. Sensorimotor Learning61 topic
  13. Action Recognition51 topic
  14. Activity Recognition51 topic
  15. Exoskeletons51 topic
  16. Lower Limb51 topic
  17. Pervasive Computing51 topic
  18. Pose Estimation51 topic

Where does Micaela Schmid work?

Micaela Schmid's main affiliation in the publication record is University of Pavia, Italy.

How many publications and citations does Micaela Schmid have?

OpenAlex counts 43 works and 880 citations for Micaela Schmid, an h-index of 14, ranking #2,628,914 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

Ask a question or share a note about Micaela Schmid. Posts are plain text and can be reported.