- Angelov, B., & Castro-Gavino, D. (2024, October 23). The Enabling Data Model and Manifesto.
- Angelov, B. (2024). Visualizing Outcomes: From black boxes to viable systems in software and society. Metaphorum, Berlin. Zenodo.
- Angelov, Boyan. 2023. “The Study of Progress: Entropy, Complexity, and the Great Filter.”
- Angelov, Boyan. 2022. “Managing the Century of Complexity: Origins, Evolution and Productive Future Avenues with Systems Thinking.”
- Ryo, Masahiro, Boyan Angelov, Stefano Mammola, Jamie M. Kass, Blas M. Benito, and Florian Hartig. “Explainable artificial intelligence enhances the ecological interpretability of black‐box species distribution models.” Ecography 44, no. 2 (2021): 199-205.
- Angelov, Boyan. 2020. “Research Data Strategy: Framework and Motivating Factors.”
- Angelov, Boyan. “Review of species distribution modeling opensource software.” Researchgate (2019).
- Angelov, Boyan. “species2vec: A novel method for species representation.” bioRxiv (2019): 461996.
- Angelov, Boyan. “sdmbench: R package for benchmarking species distribution models.” Journal of Open Source Software 3, no. 29 (2018): 847.
- Angelov, Boyan. Mud Volcanoes: A Window to the Deep Biosphere. Investigating succession and functional shifts in marine deep subsurface microbial communities exposed to mud volcanism. Diss. University of Bremen Bremen/Germany, 2013.