CDR Collaboration Atlas

What This Page Shows

This Collaboration Atlas maps the research networks of 88,691 CDR scientists using co-authorship data from OpenAlex. The 335,701 co-authored papers reveal how researchers collaborate across disciplines, institutions, and countries — and which scientific communities are bridging the gap between different carbon dioxide removal methods.

How It Was Built

1. Co-authorship networks: Every paper co-authored by CDR researchers creates a connection in the network
2. Louvain community detection: Algorithmic clustering identified 138 distinct research communities that frequently publish together
3. Pathway classification: Each community’s dominant method was determined by OpenAlex classification + LLM filtering
4. Bridge scoring: Researchers with high network betweenness centrality — spanning multiple methods and geographies — are flagged as “bridge researchers”

What the Data Means

• Communities = clusters of researchers who co-author papers frequently (strong scientific coupling)
• Bridges = individuals whose network position connects otherwise disconnected research areas
• Cross-method links = co-authorships between researchers from different CDR pathways
• Institutions = research centers where CDR work concentrates

🔥 How CDR Methods Cross-Pollinate

This matrix shows co-authorship links between researchers from different CDR methods. Higher numbers = more collaboration.

🌍 Top Country Collaborations

The strongest international research partnerships in CDR, measured by co-authored papers.

🔗 Bridge Researchers

These researchers connect the most CDR methods through their co-authorship network — the rare people who span biochar, DAC, ocean CDR, and more. Click names to visit their researcher profile.

🌐 Research Communities by CDR Method

The 50 detected communities, grouped by dominant pathway. Each cluster represents researchers who frequently co-author together, revealing natural research subfields within CDR.

Soil Carbon

Biochar

General CDR

Ocean CDR

Enhanced Weathering

BECCS

No research communities detected for BECCS in this dataset.

DAC

No research communities detected for DAC in this dataset.

🌐 CDR Method Collaboration Chord

How do CDR research methods connect through co-authorship? This chord diagram shows the flow of collaboration between pathways — thicker ribbons mean more co-authored papers linking researchers across methods.

Hover over ribbons to see co-authorship counts. Ribbon thickness is proportional to collaboration volume.