LabCompass

Cullan Howlett

Physics and Astronomy · The Ohio State University

Established · publishing since 1997Rising activity

Publications

250

Citations

14,016

Est. group size

~15

Recurring co-author estimate

Active years

30

Publishing since 1997

Research summary
AI-generated

Cullan Howlett works in observational cosmology, using large galaxy surveys (such as DESI and SDSS) to study the large-scale structure of the universe, measure how fast the universe is expanding (the Hubble constant), and test how galaxies move and cluster over cosmic time. Much of the work involves statistical modelling of galaxy positions and velocities to constrain cosmological parameters, including cross-checks using gravitational-wave 'dark siren' events. Note that a few unrelated publications on cystic fibrosis appear in this record, likely due to author name overlap rather than this researcher's actual work.

Galaxy surveys and large-scale structureCosmological parameter estimation (Hubble constant)Redshift-space distortions and peculiar velocitiesGravitational-wave cosmology (dark sirens)Statistical/simulation methods in cosmology

Publication output has grown substantially over the last decade, rising sharply from single digits in the late 2010s to over 40-70 per year by 2024-2025, indicating an actively expanding research program.

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

Publication cadence
Publications per year over the last 10 years — averaging 36.0/year recently
2017: 8 publications172018: 5 publications182019: 13 publications192020: 8 publications202021: 8 publications212022: 17 publications222023: 21 publications232024: 44 publications242025: 78 publications78252026: 20 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×59
  • Journal of Cosmology and Astroparticle Physics×49
  • Monthly Notices of the Royal Astronomical Society×31
  • The Astrophysical Journal×15
  • Physical review. D/Physical review. D.×12
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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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