1. Bonanos et al. 2023: Introducing the ASSESS project: Episodic Mass Loss in Evolved Massive Stars – Key to Understanding the Explosive Early Universe
  2. Maravelias et al. 2023: Discovering New B[e] Supergiants and Candidate Luminous Blue Variables in Nearby Galaxies
  3. Vink et al. 2023: X-Shooting ULLYSES: massive stars at low metallicity I. Project Description
  4. Yang et al. 2023: Evolved Massive Stars at Low-metallicity V. Mass-Loss Rate of Red Supergiant Stars in the Small Magellanic Cloud
  5. Kraus et al. 2022: Environments of evolved massive stars – evidence for episodic mass ejections
  6. de Wit et al. 2022: Properties of luminous red supergiants
  7. Maravelias et al. 2022: A machine-learning photometric classifier for massive stars in nearby galaxies I. The method
  8. Maravelias & Kraus 2022: Bouncing against the Yellow Void — exploring the outbursts of ρ Cas from visual observations
  9. Kyritsis et al. 2021: A new automated tool for the spectral classification of OB stars
  10. Yang et al. 2021b: Evolved Massive Stars at Low-metallicity IV. Using 1.6μm “H-bump” to identify red supergiant stars: a case study of NGC 6822