LabCompass

I. Ojalvo

Physics and Astronomy · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2011Rising activity
Particle physics theoretical and experimental studiesHigh-Energy Particle Collisions ResearchQuantum Chromodynamics and Particle InteractionsParticle Detector Development and PerformanceComputational Physics and Python Applications

Publications

729

Citations

34,547

Est. group size

—

Recurring co-author estimate

Active years

16

Publishing since 2011

Research summary
AI-generated

I. Ojalvo works in experimental particle physics, likely as part of large collaborative teams studying high-energy particle collisions, such as those produced at facilities like the Large Hadron Collider. Their work involves detector technology and computational tools used to simulate and analyze particle physics data. This research contributes to understanding fundamental particles and forces through large-scale experimental collaborations.

High-energy particle physicsParticle collider experimentsQuantum chromodynamics and particle interactionsParticle detector technologyComputational physics and simulation

Publication output has fluctuated over the last decade, dipping around 2019-2020 before rising again to a high point in 2024, suggesting an overall active and somewhat growing publication pace in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 54.4/year recently
2017: 70 publications172018: 53 publications182019: 31 publications192020: 32 publications202021: 40 publications212022: 41 publications222023: 61 publications232024: 71 publications71242025: 57 publications252026: 42 publications26
Recent publications
Publishes in
  • Journal of High Energy Physics×117
  • Physics Letters B×80
  • DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)×63
  • Physical review. D/Physical review. D.×40
  • The European Physical Journal C×40
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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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