This study conducted a citation network analysis (CNA) of human performance technology (HPT) to examine its current state of the field. Previous reviews of the field have used traditional research methods, such as content analysis, survey, Delphi, and citation analysis. The distinctive features of CNA come from using a social network analysis approach to see relational and network patterns in the citation data. This CNA found that the Performance Improvement Quarterly network showed more widely but loosely connected and less centralized structural attributes than the human resource development network; the 10 most influential articles in the field were identified; frequently co-cited articles were recognized as having a strong relationship by subsequent researchers; and five cohesive subgroups showed key topics in the field (performance, instructional design, performance support, organization/workplace, and transfer of training). Implications from the results of the CNA were elaborated on for future research in HPT. © 2011 International Society for Performance Improvement.
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