INFORMATION ISSN 1343-4500 Volume.19, Number 9(B). 4101-4114 © 2016 International Information Institute 4101 Bibliometric cartography of nutrition science researches based on Power Links analysis Mahmoud Rokaya*, Dalia I. Hemdan** *Current Address: Department of IT, College of CIT, Taif University, Taif – Al-Haweiah- P. O. Box 888, ZIP code 21974, Taif, KSA E-mail: mahmoudrokaya@tu.edu.sa *Department of Mathematics(Computer Science), Faculty of Science, Tanta University, Elgeish St. ZIP 31527, Tanta, Egypt E-mail: mahmoud.roukia@science.tanta.edu.eg **Faculty of Designs and Home Economics, Nutrition and Food Science Department, Taif University, Taif – Al-Haweiah- P. O. Box 888, ZIP code 21974, Taif, KSA E-mail: dalia.m@tu.edu.sa Abstract This study aims to map the intellectual structure of the field of Nutrition during the period of 2010–2014. Power Link was used to find patterns and trends in the Nutrition field by calculating the strength of association strengths of words representative of relevant publications in Nutrition field. Data were collected from Google scholar based on the h5 measure to locate the highest cited journals and the highest cited papers in the Nutrition field for the period of 2010–2014. The terms were extracted manually from titles manually. These terms were processed using vocabulary control tools for standardization purposes. In order to define and trace the developments, research trends and dynamic changes of the Nutrition field, the whole set of journals was further separated into two consecutive sets: From the results, one could conclude that Nutrition field has some basic research themes and it also changes rapidly to establish new themes. Key Words: Co-word analysis; Nutrition research; Research trends; Science citation index; Power Link analysis. 1. Introduction Co-word Analysis is a research field that deals with the statistical Analysis of bibliographic information. Most Co-Word Analysis research can be categorized as scientometric, because it relates to scientific publication output, in particular to journal articles. [1 and 2]. After Eugene Garfeld's pioneering and seminal work, the Science Citation Index (SCI), in the 1960s, the SCI was used not only to navigate information, but it was also applied as a tool in scientific analysis [3, 4, 5]. In recent years, Co-word analysis and scientometrics have been strongly influenced by developments in new network researches [6]. In scientometrics we distinguish roughly between the analysis of texts and the analysis of actors. Even if information on both elements is contained in a single bibliographic record, historically speaking, most Co-Word Analysis network analyses have concentrated on text elements (viz.,