Connectivity Inference
Connectivity Inference is a methodological framework within population connectivity research that identifies and quantifies the patterns of movement or gene flow among subpopulations by analyzing indirect genetic, demographic, or ecological data.
45
Publications
3.1K
Citations
212
Authors
126
Institutions
Publications per year
2017–2026
20
Parents
45
Optimizing dispersal and corridor models using landscape genetics
Clinton W. Epps, John D. Wehausen, Vernon C. Bleich et al. · Journal of Applied Ecology · 2007 · 401 citations · Full text
Katherine A. Zeller, Megan K. Jennings, T. Winston Vickers et al. · Diversity and Distributions · 2018 · 244 citations · Full text
Automated synaptic connectivity inference for volume electron microscopy
Sven Dorkenwald, Philipp J. Schubert, Marius F Killinger et al. · Nature Methods · 2017 · 153 citations
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126
Universidade de São Paulo
São Paulo, Brazil
3 h-index
9 publications
643 citations
University of Florida
Gainesville, United States
2 h-index
6 publications
150 citations
Princeton University
Princeton, United States
2 h-index
2 publications
47 citations
CSIRO Oceans and Atmosphere
Canberra, Australia
2 h-index
9 publications
478 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
6 publications
222 citations

The University of Western Australia
Perth, Australia
2 h-index
4 publications
183 citations

Universidade de Vigo
Vigo, Spain
2 h-index
6 publications
138 citations
Oregon State University
Corvallis, United States
2 h-index
4 publications
146 citations
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3 publications · 99 citations
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2 publications · 176 citations
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2 publications · 217 citations
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2 publications · 56 citations
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2 publications · 56 citations
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