K-core decomposition reveals the structural density of citation networks. A paper with k-core=25 means it belongs to a dense subgraph where every paper has at least 25 connections to other papers in that subgraph. This is a topology-based measure of centrality, distinct from simple citation counts.
Tier 0: Ultra-Core (k ≥ 32)
213 papersThe innermost structural core of connectomics literature. Highest citation density, seminal papers, and landmark datasets. Use for: reference and foundational knowledge.
See main citation network and evolution graph below with all tiers combined for the most complete view.
Tier 1: EM Connectomics Core (k ≥ 25) ⭐ PRIMARY
1,064 papersMain analysis corpus. Natural inflection point in the k-core distribution (13.4% of full corpus). Balances structural rigor with field completeness. Use for: statistics, graphs, general analysis.
✓ Good coverage of established methods and recent advances
✓ Natural topology-based cutoff point
Tier 2: Core + Bridge Papers (k ≥ 20)
2,074 papersIncludes bridge papers connecting different connectomics subfields. Better representation of emerging techniques and recent work. Use for: journal club reference, technique discovery.
✓ Better coverage of post-2020 work
⚠ Some peripheral papers included; use with topic filtering for journal club
Rankings, Networks & Citation Lineage
Explore detailed rankings, network structure, and knowledge flow:
Key insight: The tier distribution reveals different "populations": Ultra-core dominated by network science / graph theory authors (Sporns, Albert, Barabási); Core connectomics tier adds image analysis leaders (Saalfeld, Cardona); Bridge tier introduces deep learning methods (U-Net, TensorFlow authors).