Predicting highly cited papers: A Method for Early Detection of Candidate Breakthroughs

Technological Forecasting and Social Change

Volumn 81, Issue 1, 2014, Pages 49-55

  Ponomarev, Ilya V ^a   Williams, Duane E ^a   Hackett, Charles J ^b   Schnell, Joshua D ^a   Haak, Laurel L ^a  

^a Thomson Reuters   (United States)

^b NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES   (United States)

Author keywords

Bibliometrics; Breakthrough paper indicator; Highly cited papers; Research management; Science policy; Scientometrics; Technological forecasting

Indexed keywords

BIBLIOMETRICS; HIGHLY-CITED PAPERS; RESEARCH MANAGEMENT; SCIENCE POLICIES; SCIENTOMETRICS;

FINANCIAL DATA PROCESSING; INVESTMENTS; TECHNOLOGICAL FORECASTING;

PAPER;

BIBLIOGRAPHY; DETECTION METHOD; MANAGEMENT PRACTICE; MODEL VALIDATION; PREDICTION; RESEARCH AND DEVELOPMENT; TECHNOLOGY POLICY;

EID: 84888032553     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2012.09.017     Document Type: Article

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