Multiple databases are needed to search the journal literature on computer science

Abstract

Objective - To compare the coverage of computer science literature in four bibliographic databases by checking the indexing of a selection of journal articles. The purpose of this comparison was to identify the most comprehensive database in computer science and determine whether more than one database is needed to search for articles on computer science topics. Design - Comparative database evaluation using citation analysis. Setting - Computer science journal literature found within the INSPEC, Scopus, Web of Science, and DBLP databases. Subjects - 1,135 computer science journal articles published by an Italian university's researchers from 1979 to 2014. Main Results - Scopus indexed 75.86% of the journal articles found in AIR, Web of Science indexed 64.49%, DBLP indexed 61.15%, and INSPEC indexed 53.39%. Web of Science and INSPEC put together covered 74.80% of the articles, which is comparable to the amount indexed by Scopus. DBLP and Scopus contained the highest number of references to articles that were not found in the other databases, about 4% each. Out of the 1,135 journal articles, 391 (34.45%) were indexed by all four databases, with Web of Science scoring the highest for providing the best quality bibliographic records for these articles. Conclusions - According to the author, the findings showed that INSPEC, Scopus, Web of Science, and DBLP "complemented each other, in a way that neither one could replace the other" (p. 2068) when searching the computer science literature. While there was overlap between databases, they each also contained unique articles.