LabCompass

Alessandro Vespignani

Mathematics · Indiana University

Publications

566

Citations

84,858

Est. group size

Recurring co-author estimate

Active years

37

Publishing since 1990

Research summary
AI-generated

Alessandro Vespignani studies how diseases spread through populations using mathematical and computational models, combining large-scale data with network science to forecast epidemics. Recent work focuses heavily on modeling and forecasting COVID-19 and other respiratory illnesses, evaluating vaccination strategies, and building surveillance systems such as aircraft-based wastewater monitoring. The research also touches on complex networks, opinion dynamics, and interactions between humans and artificial intelligence.

Epidemic modeling and forecastingDisease surveillance systemsComplex network analysisCOVID-19 vaccination and policy scenariosHuman-AI interaction

Publication activity peaked sharply in 2020-2021 during the pandemic and has since settled to a lower, roughly steady pace of around 16 papers per year.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 15.8/year recently
2017: 10 publications172018: 18 publications182019: 6 publications192020: 50 publications50202021: 41 publications212022: 19 publications222023: 19 publications232024: 21 publications242025: 14 publications252026: 6 publications26
Recent publications
Publishes in
  • medRxiv×45
  • arXiv (Cornell University)×13
  • Nature Communications×12
  • Proceedings of the National Academy of Sciences×9
  • Zenodo (CERN European Organization for Nuclear Research)×9

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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