Visualisation techniques are essential tools in both neuroinformatics and scientometrics, serving as bridges between raw data and meaningful insights. In neuroinformatics, visual representations of brain data—such as 3D brain maps, connectome diagrams, and functional overlays—enable researchers to explore neural structures, activity patterns, and inter-regional connectivity. These techniques support integrating multimodal data, enhance reproducibility, and facilitate hypothesis generation in neuroscience.

Scientometrics, the study of measuring and analysing scientific literature, relies heavily on visualisation to interpret publication trends, citation networks, and research dynamics. Tools like VOSviewer, CiteSpace, and Gephi allow for the creation of bibliometric maps that reveal influential authors, collaborative networks, and emerging research themes.

This article examines the intersection of visualisation in these two domains, highlighting shared challenges such as data heterogeneity, scalability, and the need for intuitive interfaces. It also explores how advances in machine learning and interactive dashboards transform how researchers engage with complex datasets.