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Landscape reviews are an attempt to analyze the broad sweep of an academic discipline. Such a review requires both a large, inclusive sample and a way to capture the rich characteristics of that discipline. Neither statistical meta-analysis nor narrative review are well-suited to this task. We propose using bibliometric network analysis, a tool for identifying and understanding citation patterns within a discipline, to conduct large-scale landscape reviews. A general outline for the approach is presented along with a more detailed method for finding meaning within network clusters that emerge in the citation maps. Both are illustrated with a case from a sub-discipline of science education.