Topic-dependent document ranking: citation network analysis by analogy to memory retrieval in the brain

Authors:
Hiroshi Okamoto
Affiliations:
Research & Development Group, Fuji Xerox Co., Ltd., Yokohama-shi, Kanagawa, Japan and RIKEN Brain Science Institute, Wako, Saitama, Japan
Venue:
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Year:
2011

Citing 5
Cited 1

Authoritative sources in a hyperlinked environment

Journal of the ACM (JACM)
Enhancing a digital book with a reading recommender

Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search

IEEE Transactions on Knowledge and Data Engineering
Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?

Journal of the American Society for Information Science and Technology
Graded information extraction by neural-network dynamics with multihysteretic neurons

Neural Networks

Extracting tailored protein complexes from protein-protein interaction networks

IPCAT'12 Proceedings of the 9th international conference on Information Processing in Cells and Tissues

Quantified Score

Hi-index	0.00

Visualization

Abstract