Francisco Encinas-Viso
Statistical and Nonlinear Physics · 2018
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 9 citations into it
- Nature and Landscape Conservation — 8 citations into it
- Molecular Biology — 6 citations into it
- Ecological Modeling — 5 citations into it
- Ecology, Evolution, Behavior and Systematics — 5 citations into it
Whom Francisco Encinas-Viso trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Santo Fortunato
- Mark Newman
- Élisa Thébault
- Hanna Tuomisto
- Cedric E. Ginestet
- Roger Guimerà
- Martin Rosvall
- Carsten F. Dormann
- H. Kreft
- Gábor Csárdi
Papers from Francisco Encinas-Viso's perspective
Ordered by how strongly the researchers Francisco Encinas-Viso trusts endorse each paper. Same corpus, a different order for every researcher.
- Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Functional cartography of complex metabolic networks (Nature)
- Identifying compartments in presence–absence matrices and bipartite networks: insights into modularity measures
- Community detection algorithms: a comparative analysis: invited presentation, extended abstract (ValueTools)
- Resolution limit in community detection (Proceedings of the National Academy of Sciences of the United States of America)
- A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity
- A framework for delineating biogeographical regions based on species distributions
- Maps of random walks on complex networks reveal community structure
- ggplot2: Elegant Graphics for Data Analysis
- The igraph software package for complex network research
Their papers
- A comparison of network and clustering methods to detect biogeographical regions (2018) — 175 citations