[51-98] | 2026 Release |

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:

🌐 Navigating the Sea of Science: Enhancing the Microsoft Academic Knowledge Graph [51-98]

can be measured (finding papers that are "about" the same thing even if they use different keywords). The most technical—and perhaps most exciting—part of the

As we move toward more AI-driven research, datasets like the enhanced MAKG will serve as the "brain" behind the next generation of scientific discovery. One of the most persistent headaches in bibliometrics is

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:

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

is automated, allowing AI to spot trends across different scientific disciplines. 🚀 Why This Matters for the Future