Interdisciplinary Collaborator Recommendation Based on Research Content Similarity-Reference-Cited by-同舟云学术

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Interdisciplinary Collaborator Recommendation Based on Research Content Similarity

Published:2017 Issue:4 Volume:E100.D Page:785-792
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

ARAKI Masataka¹,KATSURAI Marie¹,OHMUKAI Ikki²,TAKEDA Hideaki²

Affiliation:

1. Doshisha University

2. National Institute of Infomatics

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E100.D/4/E100.D_2016DAP0030/_pdf

Reference24 articles.

1. [1] G. Abramo, C.A. D'Angelo, and F.D. Costa, “Research collaboration and productivity: Is there correlation?,” Higher Education, vol.57, no.2, pp.155-171, 2009.

2. [2] S. Lee and B. Bozeman, “The impact of research collaboration on scientific productivity,” Social Studies of Science, vol.35, no.5, pp.673-702, 2005.

3. [3] C. Schmickl and A. Kieser, “How much do specialists have to learn from each other when they jointly develop radical product innovations?,” Research Policy, vol.37, no.3, pp.473-491, 2008.

4. [4] F.J. Van Rijnsoever and L.K. Hessels, “Factors associated with disciplinary and interdisciplinary research collaboration,” Research Policy, vol.40, no.3, pp.463-472, 2011.

5. [5] T. Huynh, A. Takasu, T. Masada, and K. Hoang, “Collaborator recommendation for isolated researchers,” Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp.639-644, 2014.

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