This paper presents a quantitative study of productivity, characteristics and various aspects of global publication in the field of library and information science (LIS). A total of 894 contributions published in 56 LIS journals indexed in SSCI during the years of 2000–2004 were analyzed. A total of 1361 authors had contributed publications during the five years. The overwhelming majority (89.93%) of them wrote one paper. The average number of authors per paper is 1.52. All the studied papers were published in English. The sum of research output of the authors form USA and UK reaches 70 % of the total productivity. Most papers received few citations. Each article received on an average 1.6 citations and the LIS researchers cite mostly latest articles. About 48% of citing authors had tendency of self-citation. The productive authors, their contribution and authorship position are listed to indicate their productivity and degree of involvement in their research publications.

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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 Thomson-Reuters Institute for Scientific Information (TR) five-year and two-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 AI journals. Introduction and Related Work Because journals serve as the main outlets for publishing scientific research, it is not surprising that one of the most widely studied problems in scientometrics is determining the merit of academic journals and ranking them accordingly. Although journal ranking helps academic libraries to select journals, it is often and more