Detecting emerging research fronts based on topological measures in citation networks of scientific publications

By Naoki Shibata, Yuya Kajikawa, Yoshiyuki Takeda, Katsumori Matsushima. 2008

354 citations recorded by the source corpus.

Subfields: Information Systems, Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/20e41a217b49b827b04258d096eda1cfba1d6a36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Richard Klavans
2. Kevin W. Boyack
3. Ludo Waltman
4. Nees Jan van Eck
5. Ismael Rafols

In Molecular Biology

1. Kevin W. Boyack
2. Richard Klavans
3. Henry G. Small
4. Ludo Waltman
5. Nees Jan van Eck
6. Philip Hallinger
7. Suparak Suriyankietkaew
8. Matteo Borghi

In Statistical and Nonlinear Physics

1. Kevin W. Boyack
2. Richard Klavans
3. Henry G. Small
4. Ludo Waltman
5. Nees Jan van Eck
6. Ismael Rafols

Citations in the corpus

• Identifying emerging topics in science and technology (2014, methodology): “Direct citation, the technique at the core of Garfield's historiography, was later used by Shibata and colleagues (Shibata et al., 2008, Shibata et al., 2010) to cluster sets of documents on gallium nitride, complex networks, and regenerative medicine.”