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Researcher · University of Milano-Bicocca · Italy

Andrea Campagner

Andrea Campagner publishes mostly in Artificial Intelligence, Health Informatics and Computational Theory and Mathematics, on topics such as Explainable Artificial Intelligence (XAI), Artificial Intelligence in Healthcare and Education and Rough Sets and Fuzzy Logic.

ORCID 0000-0002-0027-5157 OpenAlex
World rank
#409,901
of 7,710,434 ranked researchers
Rank in Italy
#11,027
of 242,206
Works
145
Citations
3.2k
Citations per work
22.0
h-index
30
i10-index 53Top 4.8% in Artificial Intelligence
Andrea Campagner

What does Andrea Campagner research?

Andrea Campagner's work is mostly in Computer Science (42%), Medicine (12%), Decision Sciences (4%).

Physical Sciences: 60 works · 41.6% of their workComputer Science: 60 works · 41.6% of their workArtificial Intelligence: 50 works · 34.5% of their workComputational Theory and Mathematics: 10 works · 7.1% of their workEverything else: 57 works · 39.3% of their workHealth Sciences: 17 works · 11.8% of their workMedicine: 17 works · 11.8% of their workHealth Informatics: 12 works · 8.3% of their workInfectious Diseases: 5 works · 3.5% of their workSocial Sciences: 11 works · 7.3% of their workDecision Sciences: 6 works · 4.0% of their workManagement Science and Operations Research: 6 works · 4.0% of their workSocial Sciences: 5 works · 3.3% of their workSafety Research: 5 works · 3.3% of their workTHEIR WORKAndrea Campagner145works
Physical Sciences42%Health Sciences12%Social Sciences7%

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 Science6041.6%
  2. Everything else5739.3%
    1. Medicine1711.8%
    1. Decision Sciences64.0%
    2. Social Sciences53.3%
  1. 1Artificial Intelligence34% of their works
  2. 2Health Informatics8% of their works
  3. 3Computational Theory and Mathematics7% of their works
  4. 4Management Science and Operations Research4% of their works
  5. 5Infectious Diseases4% of their works
  6. 6Safety Research3% of their works

Research topics

Which keywords describe Andrea Campagner's research?

The keywords of their largest research topics: Artificial Intelligence, Healthcare, Precision Medicine, Big Data, Machine Learning, Interpretable Models, Machine Learning Interpretability and Medical Imaging.

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 23 words, with their numbers
  1. Artificial Intelligence563 topics
  2. Healthcare522 topics
  3. Precision Medicine522 topics
  4. Big Data462 topics
  5. Machine Learning462 topics
  6. Interpretable Models451 topic
  7. Machine Learning Interpretability451 topic
  8. Medical Imaging432 topics
  9. Clinical Decision Support331 topic
  10. Ethical Challenges331 topic
  11. Deep Learning292 topics
  12. Granular Computing231 topic
  13. Rough Sets231 topic
  14. Electronic Health Records191 topic
  15. Predictive Modeling191 topic
  16. Clinical Reasoning131 topic
  17. Diagnostic Error131 topic
  18. Ethics131 topic
  19. Fairness131 topic
  20. Analytic Hierarchy Process121 topic
  21. TOPSIS121 topic
  22. COVID-19101 topic
  23. Convolutional Neural Networks101 topic

Where does Andrea Campagner work?

Andrea Campagner's main affiliation in the publication record is University of Milano-Bicocca, Italy.

How many publications and citations does Andrea Campagner have?

OpenAlex counts 145 works and 3,194 citations for Andrea Campagner, an h-index of 30, ranking #409,901 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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