LabCompass

A. Porredon

Physics and Astronomy · The Ohio State University

Early career · publishing since 2017Rising activity

Publications

181

Citations

10,391

Est. group size

~14

Recurring co-author estimate

Active years

10

Publishing since 2017

Research summary
AI-generated

A. Porredon works in observational cosmology, using large astronomical surveys such as the Dark Energy Survey, DESI, DELVE, and Euclid to study the large-scale structure of the universe, dark energy, and dark matter. Their work combines weak gravitational lensing (the bending of light by massive structures), galaxy clustering, and cluster-based methods to test cosmological models, including analyses using deep learning and simulation-based inference. Prospective students would be working in a highly collaborative, large-team environment centered on survey data analysis and statistical cosmology.

Dark energy and cosmological model testingWeak gravitational lensing and galaxy clusteringLarge galaxy survey analysis (DES, DESI, Euclid, DELVE)Galaxy clusters and cosmological constraintsSimulation-based and machine-learning inference methods

Publication output has grown substantially over the last decade, rising from just a few papers per year before 2021 to around 30-48 per year in recent years, indicating an actively growing and highly collaborative 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 31.4/year recently
2017: 2 publications172018: 3 publications182019: 4 publications192020: 1 publication202021: 15 publications212022: 26 publications222023: 26 publications232024: 39 publications242025: 48 publications48252026: 18 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×56
  • Monthly Notices of the Royal Astronomical Society×38
  • Physical review. D/Physical review. D.×31
  • The Open Journal of Astrophysics×15
  • Journal of Cosmology and Astroparticle Physics×9
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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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