Research fields are not static.
Scientific domains emerge from intersections of existing knowledge, methods, questions, and communities.
Mapping the evolving landscape of SCIENCES.
VectorNets generates intelligence engines that reveal how interdisciplinary fields emerge, evolve, and intersect — across any domain, time range, or geography.
Multi-Source
OpenAlex, arXiv & more
Query Driven
Any research topic
Dynamic
Velocity & network change
Continuous
Fresh signals
§ 01
What is a Science Landscape?
A science landscape is a structured analysis of how knowledge in a given domain is distributed, evolving, and connected — derived from systematic examination of the published scientific literature.
Topics rise, mature, and decline.
Every topic follows an arc — from early signals to citation peaks and institutional adoption.
Technologies reshape entire domains.
New methods such as CRISPR, transformers, or cryo-EM redefine boundaries between fields.
Knowledge ecosystems have geography.
Scientific production is geographically concentrated, institutionally clustered, and globally connected.
Frontier Reports
Live samples from POLE
Publishing live from analysis runs
§ 05
Methodology
Our analytical methods are grounded in established bibliometric research and natural language processing, applied to curated, multi-database publication corpora.
Data Sources
- OpenAlex
- PubMed & MEDLINE
- arXiv
- Crossref
Analytical Methods
- Topic Modelling
- Citation Network Analysis
- Temporal Evolution Tracking
- Co-authorship Graph Mapping
Quality & Validation
- Cross-database Deduplication
- Field Normalisation
- Reproducible Pipeline
- Expert Review Layer
Contact
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