[51-98] May 2026

by analyzing co-author networks and citation patterns. Link disparate profiles that belong to the same person.

The most technical—and perhaps most exciting—part of the 47-page study involves . By converting text and graph data into high-dimensional mathematical vectors, the researchers created a system where: [51-98]

can suggest potential future collaborations. by analyzing co-author networks and citation patterns

Faster search means faster breakthroughs. By converting text and graph data into high-dimensional

Detailed in a comprehensive study spanning pages of the Quantitative Science Studies journal, this project represents a massive leap forward in how we organize and understand global research. The "Who is Who" Problem: Author Name Disambiguation

One of the most persistent headaches in bibliometrics is . If three different "J. Smith"s publish in physics, how do we know which one is the expert in quantum mechanics? The researchers introduced advanced algorithms to: