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Researcher · Vrije Universiteit Amsterdam · Netherlands

Michele Tonutti

Michele Tonutti publishes mostly in Artificial Intelligence, Epidemiology and Pulmonary and Respiratory Medicine, on topics such as Machine Learning in Healthcare, Sepsis Diagnosis and Treatment and COVID-19 Clinical Research Studies.

ORCID 0000-0001-9487-9578 OpenAlex
World rank
#1,619,740
of 7,710,434 ranked researchers
Rank in Netherlands
#36,150
of 107,149
Works
17
Citations
439
Citations per work
25.8
h-index
10
i10-index 10Top 42% in Artificial Intelligence
Michele Tonutti

What does Michele Tonutti research?

Michele Tonutti's work is mostly in Medicine (40%), Computer Science (22%), Health Professions (9%).

Health Sciences: 8 works · 48.8% of their workMedicine: 7 works · 39.9% of their workEpidemiology: 2 works · 13.3% of their workInfectious Diseases: 2 works · 11.1% of their workPulmonary and Respiratory Medicine: 2 works · 11.1% of their workCritical Care and Intensive Care Medicine: 1 works · 4.4% of their workHealth Professions: 2 works · 8.9% of their workHealth Information Management: 2 works · 8.9% of their workEverything else: 5 works · 29.0% of their workPhysical Sciences: 4 works · 22.2% of their workComputer Science: 4 works · 22.2% of their workArtificial Intelligence: 4 works · 22.2% of their workTHEIR WORKMichele Tonutti17works
Physical Sciences22%Health Sciences49%

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. Medicine739.9%
    2. Health Professions28.9%
  2. Everything else529.0%
    1. Computer Science422.2%
  1. 1Artificial Intelligence22% of their works
  2. 2Epidemiology13% of their works
  3. 3Pulmonary and Respiratory Medicine11% of their works
  4. 4Infectious Diseases11% of their works
  5. 5Health Information Management9% of their works
  6. 6Critical Care and Intensive Care Medicine4% of their works

Research topics

Which keywords describe Michele Tonutti's research?

The keywords of their largest research topics: Epidemiology, Healthcare, Deep Learning, Electronic Health Records, Sepsis, Septic Shock, Clinical Characteristics and SARS-CoV-2.

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. Epidemiology112 topics
  2. Healthcare82 topics
  3. Deep Learning61 topic
  4. Electronic Health Records61 topic
  5. Sepsis61 topic
  6. Septic Shock61 topic
  7. Clinical Characteristics51 topic
  8. SARS-CoV-251 topic
  9. Acute Lung Injury41 topic
  10. Mechanical Ventilation41 topic
  11. Big Data Analytics21 topic
  12. Delirium21 topic
  13. Intensive Care Unit21 topic
  14. Interpretable Models21 topic
  15. Machine Learning21 topic
  16. Machine Learning Interpretability21 topic
  17. Bayesian Networks11 topic
  18. Causal Inference11 topic

Where does Michele Tonutti work?

Michele Tonutti's main affiliation in the publication record is Vrije Universiteit Amsterdam, Netherlands.

How many publications and citations does Michele Tonutti have?

OpenAlex counts 17 works and 439 citations for Michele Tonutti, an h-index of 10, ranking #1,619,740 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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