Applying the Publication Power Approach to Artificial Intelligence Journals | Zendy

Rokach Lior | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Applying the Publication Power Approach to Artificial Intelligence Journals

Author(s) -

Rokach Lior

Publication year - 2012

Publication title -

journal of the american society for information science and technology

Language(s) - English

Resource type - Journals

eISSN - 1532-2890

pISSN - 1532-2882

DOI - 10.1002/asi.22616

Subject(s) - ranking (information retrieval) , expert opinion , citation , field (mathematics) , computer science , data science , information retrieval , artificial intelligence , statistics , library science , mathematics , medicine , intensive care medicine , pure mathematics

This study evaluates the utility of a publication power approach ( PPA ) for assessing the quality of journals in the field of artificial intelligence. PPA is compared with the T homson‐ R euters Institute for S cientific Information ( TR ) 5‐year and 2‐year impact factors and with expert opinion. The ranking produced by the method under study is only partially correlated with citation‐based measures ( TR ), but exhibits close agreement with expert survey rankings. A simple average of TR and power rankings results in a new ranking that is highly correlated with the expert survey rankings. This evidence suggests that power ranking can contribute to evaluating artificial intelligence journals.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research