LabCompass

Seokcheon Lee

Physics and Astronomy · Purdue University West Lafayette

Mid career · publishing since 2003Rising activity

Publications

118

Citations

802

Est. group size

Recurring co-author estimate

Active years

24

Publishing since 2003

Research summary
AI-generated

Seokcheon Lee works in theoretical cosmology, focusing on dark energy, the Hubble tension (a discrepancy between different measurements of the universe's expansion rate), and alternative cosmological models such as varying-speed-of-light theories. Much of the recent work uses large observational datasets like DESI (Dark Energy Spectroscopic Instrument) baryon acoustic oscillation measurements and supernova data to test how the properties of dark energy may change over cosmic time. This research is highly theoretical and statistical, involving model comparison and parameter estimation rather than telescope observation itself.

Dark energy and its time evolutionHubble tension and cosmological parameter estimationVarying speed of light cosmological modelsBaryon acoustic oscillations (DESI survey analysis)Cosmological spacetime and metric theory

Publication output has grown steadily and substantially over the last decade, rising from occasional papers in 2017-2020 to a sustained high output of 10-14 papers per year from 2023 onward.

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

Publication cadence
Publications per year over the last 10 years — averaging 10.0/year recently
172018: 3 publications182019: 3 publications192020: 1 publication202021: 6 publications212022: 3 publications222023: 10 publications232024: 11 publications242025: 12 publications252026: 14 publications1426
Recent publications
Publishes in
  • arXiv (Cornell University)×25
  • SSRN Electronic Journal×6
  • Physics of the Dark Universe×5
  • The European Physical Journal C×5
  • Monthly Notices of the Royal Astronomical Society×3
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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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