@article{small1973cocitation,
  abstract = {A new form of document coupling called co-citation is defined as the frequency with which two documents are cited together. The co-citation frequency of two scientific papers can be determined by comparing lists of citing documents in the Science Citation Index and counting identical entries. Networks of co-cited papers can be generated for specific scientific specialties, and an example is drawn from the literature of particle physics. Co-citation patterns are found to differ significantly from bibliographic coupling patterns, but to agree generally with patterns of direct citation. Clusters of co-cited papers provide a new way to study the specialty structure of science. They may provide a new approach to indexing and to the creation of SDI profiles.},
  author = {Small, Henry},
  doi = {10.1002/asi.4630240406},
  interhash = {dfbb7636c96853cc258878548c12d12f},
  intrahash = {1dc18dfe50667ff19d5cfa9d52d3e37b},
  issn = {1097-4571},
  journal = {Journal of the American Society for Information Science},
  number = 4,
  pages = {265--269},
  publisher = {Wiley Subscription Services, Inc., A Wiley Company},
  title = {Co-citation in the scientific literature: A new measure of the relationship between two documents},
  url = {http://dx.doi.org/10.1002/asi.4630240406},
  volume = 24,
  year = 1973
}

@inproceedings{1271658,
  abstract = {Bibliometric analysis is used as a measuring activity technique for basic research. There are many country level analyses of trends in scientific publications. These analyses give us an understanding of the macro-scale character of scientific activities. However, it is difficult to capture the qualitative evolution of scientific activities through them. In this regard, a meso-scale analysis of science activities, i.e., analysis of "research areas", is suitable for grasping qualitative changes in scientific activities. In this study, we develop a new method for mapping science at the research area level. Our method consists of two parts: constructing research areas from scientific publications and content analysis by experts. Research areas are explored through a co-citation analysis, and a map of science was generated to analyze how research areas relate to each other. This method contributes to endeavours to understand and track the changing nature of science.},
  address = {Washington, DC, USA},
  author = {SAKA, Ayaka and IGAMI, Masatsura},
  booktitle = {IV '07: Proceedings of the 11th International Conference Information Visualization},
  doi = {http://dx.doi.org/10.1109/IV.2007.77},
  interhash = {1586085e24335ab7d0f8f5530d32552d},
  intrahash = {a9168950512836c2155af1ed6dc99453},
  isbn = {0-7695-2900-3},
  pages = {453--458},
  publisher = {IEEE Computer Society},
  title = {Mapping Modern Science Using Co-citation Analysis},
  url = {http://portal.acm.org/citation.cfm?id=1270398.1271658},
  year = 2007
}