Review of "CiteSpace: A Practical Guide For Mapping Scientific Literature" by Chaomei Chen

Overview One of the hallmarks of the current era is the availability of a wide assortment of scientific research in the form of peer-reviewed scientific literature. However, while the world has shrunk thanks to the almost global online connectivity, the expansion of the corpus of scientific literature is at such scales that the indices covering citations are often unable to keep up as noted by Larsen and von Ins (2010). Everyday, numerous research papers are submitted, peer-reviewed, and some, published. In this continually explanding digital universe, it can be quite intimidating for researchers to keep up with and locate trends and hot topics in peer-reviewed work. Understanding citations, authorship patterns, and more are topics of general interest of every research community, in general, and the Complex Adaptive Systems Modeling Community, in particular. CiteSpace Chen (2006) has established itself as an excellent tool allowing researchers to identify key patterns in the dissemination and spread of scientific information. The tool uses various innovative techniques and algorithms for information visualization Jinxia (2011), exploration Wei et al. (2015), and conducting visual surveys Niazi and Hussain (2011). While, there is an existing supporting website for the tool, the CiteSpace Book details Chen, C