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researcher

M. Serrano

13 papers hereh-index 323 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author7

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph8
  • cs.LG2
  • cond-mat.dis-nn1
  • math.AT1
  • quant-ph1
same name
  • M. Serrano — 1 paper, h 2
  • M. Serrano — 1 paper, h 1
  • M. Serrano — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
geometric renormalization 1graph coarsening 1graph neural networks 1scale-equivariant learning 1zero-shot transfer 1

From the 1 of 13 linked papers with an AI index.

activity
20242026
most citedTrade-offs between structural richness and perceptual robustness in music network representations

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

physics.soc-ph2025

Extracting the geometric backbone of bipartite networks

Lucía S. Ramírez, Roya Aliakbarisani, M. Ángeles Serrano +1

Real bipartite networks combine degree-constrained random mixing with structured, locality-like rules. We introduce a statistical filter that benchmarks node-level bipartite cluste…

quant-ph2025

Quantum Key Distribution over Complex Networks

Luca Mariani, Raja Yehia, Carlos Pascual-García +4

There exist several initiatives worldwide to deploy quantum key distribution (QKD) over existing fibre networks and achieve quantum-safe security at large scales. To understand the…

physics.soc-ph2025

Clustering Does Not Always Imply Latent Geometry

Roya Aliakbarisani, Marián Boguñá, M. Ángeles Serrano

The latent space approach to complex networks has revealed fundamental principles and symmetries, enabling geometric methods. However, the conditions under which network topology i…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.