designed to collect both dynamic data and cluster authors into thematic groups.
Co-citation analysis is one of the most common tools for investigating the intellectual structure of an academic
inform researchers, policy makers as well as laypersons.
The present study uses an authorco-citationanalysis (ACA) approach to identify major specialties, laboratories, researchers, and research groups in the stem cell research field, and to
The purpose of this study is to map semiconductor literature by author co-citation analysis in order to highlight major subject
specializations in semiconductors and identify authors and their relationships within these specialties and within the field.
Forty-six of the most productive authors were included in the sample list. Author samples were gathered from the INSPEC database
from 1978 to 1997. The relatively low author co-citation frequencies indicate that there is a low connection among authors
who publish in semiconductor journals and big differences among authors' research areas. Six sets of authors with co-citation
greater than 100 times are M. Cardona and G. Lucovsky; T. Ito and K. Kobayashi; M. Cardona and G. Abstreiter; A. Y. Cho and
H. Morkoc; C. R. Abernathy and W. S. Hobson; H. Morkoc and I. Akasaki. The Pearson correlation coefficient of author co-citation
varies widely, i.e., from -0.17 to 0.92. This shows that some authors with high positive correlations are related in certain
ways and co-cited, while other authors with high negative correlations may be rarely or never related and co-cited. Cluster
analysis and multi-dimensional scaling are employed to create two-dimensional maps of author relationships in the cross-citation
networks. It is found that the authors fall fairly clearly into three clusters. The first cluster covers authors in physics
and its applications. The authors in the second group are experts in electrical and electronic engineering. The third group
includes specialists in materials science. Because of its interdisciplinary nature and diverse subjects, semiconductor literature
lacks a strong group of core authors. The field consists of several specialties around a weak center.
Authors:Ruimin Ma, Qiangbin Dai, Chaoqun Ni, and Xuelu Li
Author co-citation analysis (ACA) is an important method for discovering the intellectual structure of a given scientific
field. Since traditional ACA was confined to ISI Web of Knowledge (WoK), the co-citation counts of pairs of authors mainly
depended on the data indexed in WoK. Fortunately, Google Scholar has integrated different academic databases from different
publishers, providing an opportunity of conducting ACA in wider a range. In this paper, we conduct ACA of information science
in China with the Chinese Google Scholar. Firstly, a brief introduction of Chinese Google Scholar is made, including retrieval
principles and data formats. Secondly, the methods used in our paper are given. Thirdly, 31 most important authors of information
science in China are selected as research objects. In the part of empirical study, factor analysis is used to find the main
research directions of information science in China. Pajek, a powerful tool in social network analysis, is employed to visualize
the author co-citation matrix as well. Finally, the resemblances and the differences between China and other countries in
information science are pointed out.
-citation. Authorco-citationanalysis (ACA) has formed a relatively steady research pattern (McCain 1990 ) as the mainstream approach to discover academic communities and explore knowledge structure and has yielded influence on many fields. However, author
This study uses author co-citation analysis to trace prospectively the development of the cognitive neuroscience of attention
between 1980 and 2005 from its precursor disciplines: cognitive psychology, single cell neurophysiology, neuropsychology,
and evoked potential research. The author set consists of 28 authors highly active in attentional research in the mid-1980s.
PFNETS are used to present the co-citation networks. Authors are clustered via the single-link clustering intrinsic to the
PFNET algorithm. By 1990 a distinct cognitive neuroscience specialty cluster emerges, dominated by authors engaged in brain
This study applies a method of author co-citation analysis to examine the intellectual structure of political communication study. Fifty one influential authors were selected from active members of the Political Communication Divisions of the International Communication Association (ICA), the National Communication Association (NCA), and the American Political Science Association (APSA). The results of the multidimensional scaling analysis and cluster analysis of these 51 selected authors' co-citation patterns show that intellectual fragmentation exists in political communication research; scholars with different academic backgrounds exhibit specialties using particular research approaches to study certain subjects in the field; scholars do not have much information exchange, and thus they are intellectually separate and confined within the boundaries of each fragment. The findings of this quantitative study complements and cross-validates the assessment made by other traditional qualitative reviews about the field.
Among Belver C. Griffith's many contributions to disciplinary communication is the idea that science and scholarship at large constitute a social system to be investigated empirically. This paper reports findings of an author co-citation analysis of the field of human behavioral ecology that expands Griffith's concept of the social system of scientific communication to fit a socioecological framework. Cluster analysis and multidimensional scaling techniques are used to characterize the research specialty at large and portray five respondents' individual resource maps. The techniques reveal co-citation relationships among authors whose work they had referenced in recent articles. Survey data on searching and handling behaviors for an aggregated sample of 180 cited references are correlated with core-periphery zones of the individual maps. Findings that types of socially mediated communication and distinctive information foraging behaviors correlate with different zones of a bibliographic microhabitat support an interpretation that active specialty members conform to foraging efficiency principles as predicted by prey-choice models from optimal foraging theory.