LabCompass

César Herrera

Engineering · Purdue University West Lafayette

Mid career · publishing since 2007Rising activity

Publications

27

Citations

34

Est. group size

Recurring co-author estimate

Active years

20

Publishing since 2007

Research summary
AI-generated

César Herrera works on computational mathematics and numerical methods, including techniques for solving differential equations, neural-network-based function approximation, and preconditioning methods for large linear systems. Some recent work also applies statistical and spatial modeling methods to public health topics like COVID-19 outcomes and wastewater-based disease surveillance. This research could suit students interested in numerical analysis, scientific computing, or applying mathematical modeling tools to epidemiology.

Numerical methods for differential equationsNeural network approximation methodsRunge-Kutta and time-stepping methodsPreconditioning and virtual element methodsEpidemiological and wastewater surveillance modeling

Publication output has grown noticeably in recent years, rising from about one paper per year before 2022 to five or more per year by 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
2017: 1 publication172018: 1 publication182019: 1 publication192020: 1 publication202021: 1 publication212022: 1 publication222023: 3 publications232024: 5 publications242025: 3 publications252026: 6 publications626
Recent publications
Publishes in
  • arXiv (Cornell University)×6
  • medRxiv×2
  • Open MIND×2
  • Numerical Algorithms×1
  • Epidemics×1
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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 Jul 20, 2026.

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