LabCompass

M. Azarkin

Physics and Astronomy · The Ohio State University

Mid career · publishing since 2004

Publications

1,684

Citations

97,822

Est. group size

Recurring co-author estimate

Active years

23

Publishing since 2004

Research summary
AI-generated

M. Azarkin works in experimental particle and nuclear physics, contributing to large collaborative experiments such as CMS and LHCb at the Large Hadron Collider, as well as detector development for the Spin Physics Detector at NICA. Recent work also extends into applied topics like radiation shielding, dosimetry for radiotherapy, and cosmic-ray detection, often using particle-physics simulation tools like Geant4. This research helps build and interpret detectors that study fundamental particles and also applies particle-physics methods to space radiation protection and medical physics.

High-energy particle collisions (CMS, LHCb)Detector design and simulation (Geant4)Cosmic ray and space radiation studiesNuclear/particle physics applications in medicine (radiotherapy, dosimetry)Heavy-ion and quark physics

Publication counts (largely reflecting large collaborative experiment outputs) have declined somewhat from a peak of over 150 per year in 2017-2018 to around 74-123 per year in 2024-2025, with the 5-year average near 76 per year.

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

Publication cadence
Publications per year over the last 10 years — averaging 76.2/year recently
2017: 152 publications172018: 176 publications176182019: 136 publications192020: 106 publications202021: 105 publications212022: 91 publications222023: 84 publications232024: 123 publications242025: 74 publications252026: 9 publications26
Recent publications
Publishes in
  • Journal of High Energy Physics×347
  • Physics Letters B×175
  • The European Physical Journal C×127
  • Physical review. D/Physical review. D.×114
  • Physical Review Letters×94
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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 19, 2026.

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