LabCompass

R. Poggi

Physics and Astronomy · Indiana University

Mid career · publishing since 2011

Publications

593

Citations

29,793

Est. group size

Recurring co-author estimate

Active years

16

Publishing since 2011

Research summary
AI-generated

R. Poggi works in experimental particle physics, focusing on the technology used to detect and reconstruct the paths of particles produced in high-energy collisions at accelerators like the Large Hadron Collider (LHC). Their work includes designing specialized computing hardware (FPGAs, a type of reconfigurable chip) and applying machine learning to interpret the massive amounts of data generated by the ATLAS detector. Much of this supports the upgraded, higher-intensity phase of the LHC (HL-LHC).

Particle track reconstructionFPGA and hardware-based data processingMachine learning for collider dataATLAS detector developmentHigh-energy particle collisions

Publication activity has been low and intermittent over the past decade, averaging under one paper per year with no listed output in the most recent years.

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: 29,793cohort median 1,182
h-index: 88cohort median 15
Publications / year (recent): 0.6cohort median 3.2

Typically publishes in teams of ~6 · 40% small-team papers (≤3 authors) · across 4 venues

Publication cadence
Publications per year over the last 10 years — averaging 0.6/year recently
172018: 1 publication182019: 1 publication1920212022: 2 publications2222023: 1 publication23242526
Recent publications
Publishes in
  • Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment×1
  • Physical review. D/Physical review. D.×1
  • arXiv (Cornell University)×1
  • Journal of Instrumentation×1
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  • A. G. Myagkov

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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 27, 2026.

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