What can 24,446 scientific publications tell us about where a field is going?
We use data-driven landscape analysis to turn complex scientific ecosystems into a clearer picture of where a field has been, where it is moving, and where new opportunities may be emerging.
Our latest deep dive puts that approach into practice by mapping the global research landscape around El Niño and the broader El Niño–Southern Oscillation (ENSO).
We analysed 24,446 publications spanning nearly five decades, looking far beyond publication counts.
We explored how the field has grown, whether scientific attention follows the physical phenomenon itself, who is entering the research community, where research capabilities are concentrating, which topics and methods are gaining ground, how funding is changing, and how international collaboration is evolving.
The result is not simply a picture of how much research exists.
It is a picture of how a scientific ecosystem changes over time.
And that is where research landscape intelligence becomes valuable.
By connecting different signals across the literature, we can uncover shifts that are difficult to see when looking at individual publications or metrics in isolation - from changing research priorities and emerging technologies to new geographic centres of activity and evolving collaboration patterns.
El Niño is our latest case study.
Want to see what the data reveal?
