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Automatic and versatile publications ranking for research institutions and scholars
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Communications of the ACM archive
Volume 50 ,  Issue 6  (June 2007) table of contents
Smart business networks
Pages: 81 - 85  
Year of Publication: 2007
ISSN:0001-0782
Authors
Jie Ren  Google, Santa Monica, CA
Richard N. Taylor  University of California, Irvine
Publisher
ACM  New York, NY, USA
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ABSTRACT

Assessing both academic and industrial research institutions, along with their scholars, can help identify the best organizations and individuals in a given discipline. Assessment can reveal outstanding institutions and scholars, allowing students and researchers to better decide where they want to study or work and allowing employers to recruit the most qualified potential employees. These assessments can also assist both internal and external administrators in making influential decisions; for example, funding, promotion, and compensation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
ACM Digital Library; http://portal.acm.org
 
2
Computer Science Bibliography; liinwww.ira.uka.de/bibliography/.
 
3
DBLP; www.informatik.uni-trier.de/~ley/ db/.
4
 
5
IEEE Explore; http://ieeexplore.ieee.org.
 
6
INSPEC; www.iee.org/Publish/INSPEC/.
 
7
Ostriker, J.P. and Kuh, C.V. Assessing Research-Doctorate Programs: A Methodology Study. National Academy Press, 2003.
 
8
Osuna, J.A. NRC releases data on CS program rankings. Computing Research News 7, 5 (1995), 1.
 
9
 
10
U.S. News & World Report. America's Best Colleges; www. usnews.com/usnews/edu/college/rankings/rankindex_brief.php.


Collaborative Colleagues:
Jie Ren: colleagues
Richard N. Taylor: colleagues