• 2000
• Domain

The Center for Research Planning has spent over 25 years improving the modeling process first developed by ISI. For example, the map you see covers 38,000 research communities (a research community is a cluster of papers representing a group of researchers working on the same problem). The spatial relationship between the 38,000 research communities are from a proprietary visualization program developed for Strategies for Science & Technology. Network relationships between these 38,000 research communities are not shown but are available for client studies. These network relationships allow a manager to identify the high performance research that will impact their area of interest. This provides a unique and powerful way to identify emerging areas of science. Scientists can gain a deeper understanding of the context of their research activities. The map of science is especially useful for scientists who are interested in multidisciplinary research or research that draws from discoveries in related disciplines. Journal editors can map out the domains of their journal and utilize quantitative measures for journal strategy and performance. One can assess the ability of a journal to explore new topics that have higher performance characteristics. One can also assess the ability of a journal to abandon old topics that have lower performance characteristics. R&D managers can use the map of science to develop a science strategy for the firm. High impact threats and opportunities can be identified and assessed quickly and effectively. Quantitative indicators of organizational strengths are useful for self-assessments and identification of alliance partners. Corporate managers can use the map of science to communicate and evaluate a firm's science strategy. This high level view of science allows the executive to focus on the broader strategic issues. The ability to drill down for detailed information allows for an informed evaluation of the performance of a firm's science strategy. Data Used: Bibliographic data from peer reviewed articles from the Institute for Scientific Information (ISI). Spatial Layout Techniques Applied: VxOrd (force-directed graph layout).