LabCompass

Samir Salim

Physics and Astronomy · Indiana University

OpenAlex ORCID
Astronomy and Astrophysical ResearchGalaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studiesAstrophysics and Star Formation StudiesGamma-ray bursts and supernovae

Publications

197

Citations

7,203

Est. group size

—

Recurring co-author estimate

Active years

29

Publishing since 1998

Research summary
AI-generated

Samir Salim studies how galaxies form and evolve, with a particular focus on interstellar dust—how it builds up, how it dims and reddens the light we observe from galaxies, and how to correct for these effects. The research combines large sky surveys, computer simulations of galaxies, and methods for reconstructing galaxy properties (such as star formation and stellar mass) from their light, and also examines how galaxy mergers trigger actively feeding supermassive black holes.

Galaxy formation and evolutionInterstellar dust and light attenuationActive galactic nuclei and galaxy mergersGalaxy surveys and telescope simulationsModeling galaxy light from observations and simulations

Publication activity grew markedly through the late 2010s and peaked around 2021-2024, remaining consistently high in recent years (about 10 papers per year over the last five years).

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 10.4/year recently
2017: 1 publication172018: 4 publications182019: 5 publications192020: 4 publications202021: 10 publications212022: 10 publications222023: 14 publications14232024: 12 publications242025: 7 publications252026: 9 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×27
  • The Astrophysical Journal×13
  • Monthly Notices of the Royal Astronomical Society×11
  • Astronomy and Astrophysics×8
  • The Astrophysical Journal Supplement Series×3

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 11, 2026.

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