A Local Citation Analysis of Mathematical and Statistical Dissertations

Abstract

A citation analysis of the 1980-2002 mathematics and statistics dissertations at an Ohio university was compared with citation analyses of other science disciplines published in the literature. Mathematics and statistics students were found to use their journal literature less frequently than highly research oriented fields like chemistry and biology and more frequently than applied fields like engineering and computer science. The same general trend among the disciplines was seen when title dispersion was examined. Mathematics and statistics used more journal titles than chemistry and fewer journal titles than engineering. Collection managers can use the results of this study to protect a larger core journal collection for mathematics and to keep monograph purchasing at an adequate level.

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 22 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.