Rouven Strauss
Ecology, Evolution, Behavior and Systematics · 2013
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Ecology, Evolution, Behavior and Systematics — 21 citations into it; #1,471 of 6,648 by trust here, #4,749 by citations
- Statistical and Nonlinear Physics — 15 citations into it; #3,097 of 10,127 by trust here, #5,894 by citations
- Plant Science — 14 citations into it
- Nature and Landscape Conservation — 13 citations into it
- Molecular Biology — 9 citations into it
- Genetics — 5 citations into it
Whom Rouven Strauss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Michael J. Barber
- Élisa Thébault
- Aaron Clauset
- J. Olesen
- Roger Guimerà
- Michelle Girvan
- Santo Fortunato
- Jordi Bascompte
- Carsten F. Dormann
Who trusts Rouven Strauss overall
Papers from Rouven Strauss's perspective
Ordered by how strongly the researchers Rouven Strauss trusts endorse each paper. Same corpus, a different order for every researcher.
- The Structure and Function of Complex Networks
- Fast algorithm for detecting community structure in networks.
- Modularity and community structure in networks.
- The modularity of pollination networks (Proceedings of the National Academy of Sciences of the United States of America)
- Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Structure in plant–animal interaction assemblages
- Conservation of species interaction networks
- Identifying compartments in presence–absence matrices and bipartite networks: insights into modularity measures
- Modularity and community detection in bipartite networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
Their papers
- A method for detecting modules in quantitative bipartite networks (2013) — 529 citations