LabCompass

D. Ponomarenko

Physics and Astronomy · Indiana University

Mid career · publishing since 2011Rising activity

Publications

896

Citations

32,871

Est. group size

Recurring co-author estimate

Active years

16

Publishing since 2011

Research summary
AI-generated

D. Ponomarenko works in experimental particle physics, focusing on the design and testing of transition radiation detectors ravbehave when charged particles pass through layered materials. This research aims to identify and separate high-energy particles (such as hadrons) produced in collider experiments like those at the Large Hadron Collider (LHC). The work involves testing various detector technologies, including silicon and gallium arsenide pixel sensors, and comparing measurements against simulations.

Transition radiation detectorsParticle identification at high energiesSilicon and GaAs pixel sensorsDetector development for LHC experimentsDetector simulation and data comparison

Publication activity was steady around 2017-2020 but has slowed considerably in recent years, with very few publications since 2020.

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

In context
Among 1,105 mid career Physics and Astronomy PIs within our index
Citations: 32,871cohort median 1,182
h-index: 91cohort median 15
Publications / year (recent): 91.8cohort median 3.2

Typically publishes in teams of ~34 · 0% small-team papers (≤3 authors) · across 3 venues

Publication cadence
Publications per year over the last 10 years — averaging 91.8/year recently
2017: 57 publications172018: 112 publications182019: 103 publications192020: 80 publications202021: 85 publications212022: 48 publications222023: 135 publications232024: 155 publications155242025: 91 publications252026: 30 publications26
Recent publications
Publishes in
  • Journal of High Energy Physics×253
  • The European Physical Journal C×185
  • Physical review. D/Physical review. D.×97
  • Physics Letters B×96
  • Physical Review Letters×60
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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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