Bringing PageRank to the citation analysis
By Nan Ma, Jiancheng Guan, Yi Zhao. Information Processing & Management, 2008
308 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/09c610de9435726ca8b1a4ae86dbf326b7e575bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tao Zhou
- Linyuan Lu
- Yi-Cheng Zhang
- Loet Leydesdorff
- John C. Mingers
- H. Eugene Stanley
- Duanbing Chen
- Qian-Ming Zhang
In Information Systems
In Statistics and Probability
Citations in the corpus
- A review of theory and practice in scientometrics (2015, background): “Many studies have shown that the coverage of WoS and Scopus differs significantly between different fields, particularly between the natural sciences, where coverage is very good, the social sciences where it is moderate and variable, and the arts and humanities where it is generally poor (HEFCE,…”
- Vital nodes identification in complex networks (2016, background): “It has been applied to rank a broad range of objects via their network structure: to rank images [102] and books [103], to rank genes [104] and proteins [105] in Biology and Bioinformatics, to rank molecules [106] in Chemistry, to rank brain regions [107] and neurons [108] in Neuroscience, to rank h”
- The science of science: from the perspective of complex systems (2017, methodology): “also directly used PageRank to measure the importance of scientific papers in Biochemistry andMolecular Biology [175].”