LabCompass

S. Norberg

Physics and Astronomy · Purdue University West Lafayette

OpenAlex
Mid career · publishing since 2012
Particle physics theoretical and experimental studiesHigh-Energy Particle Collisions ResearchQuantum Chromodynamics and Particle InteractionsParticle Detector Development and PerformanceDark Matter and Cosmic Phenomena

Publications

185

Citations

7,090

Est. group size

—

Recurring co-author estimate

Active years

15

Publishing since 2012

Research summary
AI-generated

S. Norberg works in experimental particle physics, contributing to large collaborative research at high-energy particle colliders such as the CMS detector at CERN. Their work focuses on topics like top-quark physics, particle detector performance, and searches for new particles including hypothesized supersymmetric partners (scalar top-quarks). This type of research aims to test and extend our understanding of fundamental particles and forces.

Particle physicsHigh-energy collider experimentsTop-quark physicsParticle detector technologyDark matter and beyond-Standard-Model searches

Publication output rose sharply from 2017 to a peak around 2018-2019, then declined substantially through the early 2020s, settling at a much lower and fairly steady rate 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 4.6/year recently
2017: 12 publications172018: 40 publications182019: 48 publications48192020: 38 publications202021: 15 publications212022: 5 publications222023: 5 publications232024: 3 publications242025: 7 publications252026: 3 publications26
Recent publications
  • Motivation for a Search for scalar top-quark production with top quark tagging in the all-hadronic channel at 13 TeV with the CMS detector

    Bulletin of the American Physical Society · 2017

Publishes in
  • Journal of High Energy Physics×57
  • Physics Letters B×29
  • The European Physical Journal C×17
  • Physical review. D/Physical review. D.×14
  • Physical Review Letters×11
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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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