Journal of the American Society for Information Science
A behavioral approach to information retrieval system design
Journal of Documentation
Term and citation retrieval: a field study
Information Processing and Management: an International Journal
An organic user interface for searching citation links
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualizing a discipline: an author co-citation analysis of information science, 1972–1995
Journal of the American Society for Information Science
Visualization of relational structure among scientific articles
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Scientific authoring support: a tool to navigate in typed citation graphs
CL&W '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics and Writing: Writing Processes and Authoring Aids
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Citation chaining is a powerful means of exploring the academic literature. Starting from just one or two known relevant items, a naïve researcher can cycle backwards and forwards through the citation graph to generate a rich overview of key works, authors and journals relating to their topic. Whilst online citation indexes greatly facilitate this process, the size and complexity of the search space can rapidly escalate. In this paper, we propose a novel interaction model called citation chain aggregation (CCA). CCA employs a simple three-list view which highlights the overlaps that occur between the first-generation relations of known relevant items. As more relevant articles are identified, differences in the frequencies of citations made by or to unseen articles provide strong relevance feedback cues. The benefits of this technique are illustrated using a simple case study.