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Christopher Thraves Caro

4 papers hereh-index 29 citations4 works total

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DM2
  • math.CO2
same name
  • Christopher Thraves Caro — 2 papers, h 3
  • Christopher Thraves Caro — 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

activity
20182026
most citedThe Sitting Closer to Friends than Enemies Problem in the Circumference

7 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DM2026

T-Robinson Spaces: Structure, Recognition, and Applications to Real Data

Patricio Asenjo, Sergio Cavero, Mauricio Soto-Gomez +1

We study \emph{T-Robinson spaces}, a tree-based generalization of Robinson spaces in which every path of a compatible tree induces a Robinson subspace. This framework extends the…

math.CO2026

Robinson spaces and their representation in low-dimensional metric spaces

Francisco Arrepol, Mauricio Soto-Gomez, Christopher Thraves Caro

Robinson spaces are structures equipped with a total order that encodes comparative dissimilarity relationships. We study the problem of representing Robinson dissimilarity spaces…

cs.DM2019★ 1 cited

The Sitting Closer to Friends than Enemies Problem in Trees

Rosa Becerra, Christopher Thraves Caro

A metric space T is a \emph{real tree} if for any pair of points x,y∈T all topological embeddings σ of the segment [0,1] into T, such t…

math.CO2018★ 7 cited

The Sitting Closer to Friends than Enemies Problem in the Circumference

Felipe Benítez, Julio Aracena, Christopher Thraves Caro

The Sitting Closer to Friends than Enemies (SCFE) problem is to find an embedding in a metric space for the vertices of a given signed graph so that, for every pair of incident edg…

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