-citation analysis (ACA) is a bibliometric technique that provides an understanding of the intellectualstructure of disciplines (White and Griffith 1982 ). It has been applied to understand intellectualstructure in many fields, such as information retrieval (Ding
Author cocitation analysis (ACA) has been a mature and widely accepted method of discovering the intellectualstructure of a given filed after the proposal by White and Griffith ( 1981 ). The principle of ACA is
incredible pace with new discoveries being reported in the scientific literature on a weekly basis. It should therefore be interesting and timely to take a look at how this field has been developing and what its social and intellectualstructures are, to
The purpose of this paper was to analyze the intellectual structure of biomedical informatics reflected in scholarly events
such as conferences, workshops, symposia, and seminars. As analysis variables, ‘call for paper topics’, ‘session titles’ and
author keywords from biomedical informatics-related scholarly events, and the MeSH descriptors were combined. As analysis
cases, the titles and abstracts of 12,536 papers presented at five medical informatics (MI) and six bioinformatics (BI) global
scale scholarly event series during the years 1999–2008 were collected. Then, n-gram terms (MI = 6,958; BI = 5,436) from the paper corpus were extracted and the term co-occurrence network was analyzed.
One hundred important topics for each medical informatics and bioinformatics were identified through the hub-authority metric,
and their usage contexts were compared with the k-nearest neighbor measure. To research trends, newly popular topics by 2-year
period units were observed. In the past 10 years the most important topic in MI has been “decision support”, while in BI “gene
expression”. Though the two communities share several methodologies, according to our analysis, they do not use them in the
same context. This evidence suggests that MI uses technologies for the improvement of productivity in clinical settings, while
BI uses algorithms as its tools for scientific biological discovery. Though MI and BI are arguably separate research fields,
their topics are increasingly intertwined, and the gap between the fields blurred, forming a broad informatics—namely biomedical
informatics. Using scholarly events as data sources for domain analysis is the closest way to approximate the forefront of
Authors:Jean A. Pratt, Karina Hauser, and Cassidy R. Sugimoto
2009 ). A way to identify journals most likely to publish interdisciplinary research is needed.
Our second research objective is to identify the intellectualstructure both within IS and between IS and other COB disciplines. We extend
To delineate the intellectual structure of Antarctic science, the research outputs on Antarctic science have been analyzed
for a period of 25 years (1980–2004) through a set of scientometrics and network analysis techniques. The study is based on
10,942 records (research articles, letters, reviews, etc.), published in 961 journals/documents, and retrieved from the Science
Citation Index (SCI) database. Over the years interest in Antarctic science has increased, as is evident from the growing
number of ratified countries and research stations. During the period under study, the productivity has increased 3-times
and there is a 13-fold increase in collaborative articles. Attempt has been made to identify important players like scientists,
organizations and countries working in the field and to identify frontier areas of research that is being conducted in this
continent. The highest 41% scientific output is contributed by the USA and the UK, followed by Australia and Germany. British
Antarctic Survey (BAS), UK and Alfred Wegener Institute of Polar & Marine Research, Germany are the most productive institutes
in Antarctic science. Maximum number of research articles on Antarctic science, have been published in the journal Polar Biology, indicating substantial work being done on the biology of this continent. The journals — Nature and Science — are the highly-cited journals in Antarctic science. The paper written by J. C. Farman et al., published in Nature in 1985, reporting depletion of ozone layer, is the most-cited article. Semantic relationships between cited documents were
measured through co-citation analysis. J. C. Farman and S. Solomon are co-cited most frequently.
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.
This study explores the intellectual structure and interdisciplinary breadth of Knowledge Management in its early stage of development. Intellectual structure is established by a principal component analysis applied to an author co-citation frequency matrix. The author co-citation frequencies were derived from the 1994-1998 academic literature and captured by the single search phrase of Knowledge Management. Four factors were labeled Knowledge Management, Organizational Learning, Knowledge-based Theories, and The Role of Tacit Knowledge in Organizations. The interdisciplinary breadth surrounding Knowledge Management mainly occurs in the discipline of management. Empirical evidence suggests that the discipline of Computer Science is not a key contributor as originally hypothesized.
During the last decade, we have witnessed a sustained growth of South Korea’s research output in terms of the world share
of publications in the Science Citation Index database. However, Korea’s citation performance is not yet as competitive as
publication performance. In this study, the authors examine the intellectual structure of Korean S&T field based on social
network analysis of journal-journal citation data using the ten Korean SCI journals as seed journals. The results reveal that
Korean SCI journals function more like publication places, neither research channels nor information sources among national
scientists. Thus, these journals may provide Korean scholars with access to international scientific communities by facilitating
the respective entry barriers. However, there are no citation relations based on their Korean background. Furthermore, we
intend to draw some policy implications which may be helpful to increase Korea’s research potential.
therefore, a challenging task to search, review, and analyze such vast literatures effectively. We thereby utilized the intellectualstructure (IS) (White and Griffith 1981 ) technique developed by the information scientists to facilitate the analyzing and