Citation Maps

Here are a few visual maps of disciplines created through author co-citation analysis. Details of how these maps were created are provided in our paper published in JASIS&T 2008. A brief summary of how to read these maps is provided below.

Information Science


Structure of major specialties	Authors' memberships in specialties

Data: Web of Science records of all articles published in 12 core Information Science journals during 1996-2005.
Authors mapped: 120 most highly cited.
Source: Zhao, D., & Strotmann, A. (2008). Information Science during the first decade of the Web: An enriched author co-citation analysis. Journal of the American Society for Information Science and Technology, 59(6), 916-937 (JASIS&T)

XML research


Structure of major specialties	Authors' memberships in specialties

Data: Web of Science records of all articles retrieved by a topic search for "XML" or "eXtensible Markup Language" for the time period 2001 to 2005.
Authors mapped: 100 most highly cited.
Source: Zhao, D., & Strotmann, A. (2008). Information Science during the first decade of the Web: An enriched author co-citation analysis. Journal of the American Society for Information Science and Technology, 59(6), 916-937 (JASIS&T)

Knowledge Mangement

Thumbnail of ACA map (Knowledge Management)

Major specialties and authors' memberships in these specialties

Data: Web of Science records of all articles retrieved by a topic search for "Knowledge management" for the time period 2001-2006.
Authors mapped: 80 most highly cited.
Source: work in progress.

How to read the maps

The circular nodes represent specialties and the square nodes authors. The size of a specialty node is an approximate indicator of its overall significance in the map. The color of an author node indicates the number of specialties in which this author has membership: yellow for authors who only have membership in a single specialty, green for two specialties, red for three, and blue for four specialties.

The width and the greyscale value of lines connecting nodes represent the degree of relatedness, with darker and thicker lines representing closer ties. Dashed lines represent counter-relationships, i.e., dissimilarities.