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Measure the Impact of Institution and Paper Via Institution-Citation Network

Authors :
Jin Ni
Lei Shi
Ivan Lee
Xiaomei Bai
Fuli Zhang
Bai, Xiaomei
Zhang, Fuli
Ni, Jin
Shi, Lei
Lee, Ivan
Source :
IEEE Access, Vol 8, Pp 17548-17555 (2020)
Publication Year :
2020
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2020.

Abstract

This paper investigates the impact of institutes and papers over time based on the heterogeneous institution-citation network. A new model, IPRank, is introduced to measure the impact of institution and paper simultaneously. This model utilises the heterogeneous structural measure method to unveil the impact of institution and paper, reflecting the effects of citation, institution, and structural measure. To evaluate the performance, the model first constructs a heterogeneous institution-citation network based on the American Physical Society (APS) dataset. Subsequently, PageRank is used to quantify the impact of institution and paper. Finally, impacts of same institution are merged, and the ranking of institutions and papers is calculated. Experimental results show that the IPRank model better identifies universities that host Nobel Prize laureates, demonstrating that the proposed technique well reflects impactful research. Refereed/Peer-reviewed

Details

ISSN :
21693536
Volume :
8
Database :
OpenAIRE
Journal :
IEEE Access
Accession number :
edsair.doi.dedup.....a0fffd0b72bc3aea2ef4403101b6e4bc