Darko Hric

Statistical and Nonlinear Physics · 2016

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 88 citations into it; #3,178 of 10,127 by trust here, #4,137 by citations
• Artificial Intelligence — 31 citations into it
• Molecular Biology — 29 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Computer Networks and Communications — 15 citations into it; #3,101 of 9,886 by trust here, #4,277 by citations
• Computational Theory and Mathematics — 11 citations into it
• Graph Learning — 9 citations into it
• Algorithms & Complexity — 6 citations into it

Whom Darko Hric trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark Newman
2. Santo Fortunato
3. Andrea Lancichinetti
4. Aaron Clauset
5. Jaewon Yang
6. Roger Guimerà
7. Alex Arenas
8. Michelle Girvan
9. Jure Leskovec
10. Marina Meila

Who trusts Darko Hric overall

1. Naoki Masuda
2. Vincent Miele
3. Yao Ma

Papers from Darko Hric's perspective

Ordered by how strongly the researchers Darko Hric trusts endorse each paper. Same corpus, a different order for every researcher.

1. Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
2. Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
3. The Anatomy of a Large-Scale Hypertextual Web Search Engine
4. Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
5. The Structure and Function of Complex Networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Fast algorithm for detecting community structure in networks.
8. Social Network Analysis: Methods and Applications
9. ImageNet classification with deep convolutional neural networks
10. Modularity and community structure in networks.

Their papers

• Community detection in networks: A user guide (2016) — 2,066 citations