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Bruno Petrungaro

Queen Mary University of London (from arXiv:2603.00041, 2026) · ORCID · OpenAlex

3 papers in scope · 2 published · 1 on the econ.EM arXiv · 31 citations · h-index 2 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Susan Athey
  2. Guido W. Imbens
  3. Stefan Wager
  4. Dmitry Arkhangelsky
  5. Victor Chernozhukov
  6. Pedro H. C. Sant’Anna
  7. Davide Viviano
  8. David M. Blei
  9. Vasilis Syrgkanis
  10. David A. Hirshberg
  11. Mohsen Bayati
  12. Avi Feller
  13. Eli Ben-Michael
  14. Brantly Callaway
  15. Anish Agarwal
  16. Jonathan Roth
  17. Dennis Shen
  18. Bruno Ferman
  19. Kaspar Wüthrich
  20. Jann Spiess

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 3)

Econometric vs. Causal Structure-Learning for Time-Series Policy Decisions: Evidence from the UK COVID-19 Policies
working paper2026 · arXiv
with Anthony C. Constantinou
Paper profile arXiv arXiv:2603.00041
Investigating potential causes of Sepsis with Bayesian network structure learning
published2025 · Applied Intelligence · 5 citations · first circulated 2024
with Neville K. Kitson, Anthony C. Constantinou
Applied Intelligence
Open problems in causal structure learning: A case study of COVID-19 in the UK
published2023 · Expert Systems with Applications · 26 citations
with Anthony C. Constantinou, Neville K. Kitson, Yang Liu, Kiattikun Chobtham, Arian Hashemzadeh Amirkhizi, Praharsh Nanavati, Rendani Mbuvha, Arian Hashemzadeh
Expert Systems with Applications

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.