LabCompass

Marco Ajelli

Mathematics · Indiana University

OpenAlex ORCID
Mid career · publishing since 2007
COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 ResearchInfluenza Virus Research StudiesViral Infections and Outbreaks ResearchMosquito-borne diseases and control

Publications

290

Citations

18,111

Est. group size

~4

Recurring co-author estimate

Active years

20

Publishing since 2007

Research summary
AI-generated

Marco Ajelli builds mathematical and computational models to study how infectious diseases spread and how to control them. His work covers respiratory viruses like COVID-19 and influenza, as well as mosquito-borne diseases such as dengue, and often evaluates public health measures like travel controls, school distancing, isolation guidelines, and vaccination strategies. He also develops open-source software tools for epidemic simulation.

Infectious disease modelingCOVID-19 and respiratory virus transmissionMosquito-borne disease dynamicsPublic health intervention evaluationEpidemic simulation software and forecasting

Publication activity surged dramatically around 2020 (during the COVID-19 pandemic) and has gradually declined since, though it remains substantial at roughly 20+ papers per year.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

Funding
Public award records

Current awards run through August 2028 — about 2 years of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.

  • ActiveNSF 2526926through Aug 2028 · $300k awarded

    eMB: Forecasting mosquito vector populations to improve situational awareness

  • ActiveNSF 2424606through Aug 2027 · $78k awarded

    eMB: Collaborative Research: Transmission, Control and Risk Assessment of Chikungunya: Combining Machine Learning with Deterministic Models

Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.

In context
Among 204 mid career Mathematics PIs within our index
Citations: 18,111cohort median 322
h-index: 61cohort median 8
Publications / year (recent): 23.2cohort median 3.2

Typically publishes in teams of ~13 · 2% small-team papers (≤3 authors) · across 57 venues

Publication cadence
Publications per year over the last 10 years — averaging 23.2/year recently
2017: 6 publications172018: 2 publications182019: 9 publications192020: 56 publications56202021: 47 publications212022: 35 publications222023: 28 publications232024: 23 publications242025: 22 publications252026: 8 publications26
Collaborators per year
Distinct co-authors at Indiana University each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
2017: 0 collaborators at the same institution2018: 0 collaborators at the same institution2019: 0 collaborators at the same institution2020: 0 collaborators at the same institution2021: 0 collaborators at the same institution2022: 0 collaborators at the same institution2023: 4 collaborators at the same institution2024: 0 collaborators at the same institution2025: 2 collaborators at the same institution1719212325
Recent publications
Publishes in
  • medRxiv×54
  • Zenodo (CERN European Organization for Nuclear Research)×17
  • Nature Communications×15
  • arXiv (Cornell University)×13
  • Research Square×10
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Sep 1, 2026.

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