Solid research depends on systematic, verifiable and repeatable scientometric analysis.
However, scientometric analysis is difficult in the current research landscape characterized …

Name ambiguity is a common problem in many bibliographic repositories affecting data
integrity and validity. This article presents an author name disambiguation (AND) literature …

Visualizing and examining the intellectual landscape and evolution of scientific communities
to support collaboration is crucial for multiple research purposes. In some cases, measuring …

Access to scientific data is dependent on the proper indexing of such data for findability
(alongside other FAIR standards) on portals, aggregators and more generally-speaking on …

The task of scholar name disambiguation is crucial in various real-world scenarios, including
bibliometric-based candidate evaluation for awards, application material anti-fraud …

Determining the relatedness of publications by detecting similarities and connections
between researchers and their outputs can help science stakeholders worldwide to find …

As a result of the analysis of existing approaches to consolidating data on research activities
we highlight a number of issues. Firstly, the automating the process of data collection which …

This study investigates the application of large language models (LLMs) in disambiguating
homonymous named entities in academic knowledge graphs. Current state-of-the-art …