Climate change and interdisciplinarity: a co-citation analysis of IPCC Third Assessment Report

This study addresses whether interdisciplinarity is a prominent feature of climate research by means of a co-citation analysis of the IPCC Third Assessment Report. The debate on interdisciplinarity and bibliometric measures is reviewed to operationalize the contested notion of interdisciplinarity. The results, based on 6417 references of the 96 most frequently used journals, demonstrate that the IPCC assessment of climate change is best characterized by its multidisciplinarity where the physical, biological, bodily and societal dimensions are clearly separated. Although a few fields and journals integrate a wide variety of disciplines, integration occurs mainly between related disciplines (narrow interdisciplinarity) which indicate an overall disciplinary basis of climate research. It is concluded that interdisciplinarity is not a prominent feature of climate research. The significance of this finding is explored, given that the problem scope of climate change necessitates interdisciplinarity. Ways to promote interdisciplinarity are suggested by way of conclusion.     

Citation context analysis of a co-citation cluster: Recombinant-DNA

The techniques of co-citation clustering and citation context analysis are combined to concretely define the shared knowledge within a research specialty. The cluster for a large and fast moving biomedical specialty, recombinant-DNA, is presented in terms of the highly cited documents comprising it and their co-citation links. By examining citation contexts in the papers citing the highly cited documents, it is possible to label each of the documents in the cluster with its specific cognitive meaning for the citing authors. Co-citation contexts are used to reveal the relationships among the concepts symbolized by the highly cited documents, providing a cognitive equivalent of the co-citation links. This may open a new way to the investigation of the logic of conceptual change at the specialty level.     

A journal co-citation analysis of library and information science in China

This paper aims to reveal the relationship and structure of library and information science (LIS) journals in China. 24 core LIS journals in China are selected and the relevant data of journal co-citation are retrieved from Chinese Journal Full-Text Database constructed by China National Knowledge Infrastructure during the period of 1999–2009. By calculating mean co-citation frequencies and correlation coefficients, we find that there is a strong relationship among LIS journals in China. Utilizing the methods of cluster analysis, multidimensional scaling analysis and factor analysis, we analyze the data of journal co-citation. LIS journals in China are divided into four clusters. The relatedness among journals is shown manifestly through their locations in the two-dimensional map. A three-factor solution is obtained with the factor loading of each journal. Finally, we interpret and discuss the results to get some conclusions and also expect to describe the network characters of journal co-citation in future research.     

Low noise electronics in elementary particle physics

The noise requirements for the front-end electronics fixed by several detecting and tracking devices and by different kinds of calorimeters are reviewed. Practical design suggestions to meet these requirements are presented.     

The dynamic capabilities perspective of strategic management: a co-citation analysis

Scientometrics - Dynamic capabilities currently emerge as a vibrant field of study within the theoretical framework based on resource and strategic management. To this end, and as a complex field...     

Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspective

The increased use of e-learning techniques as an accepted form of teaching has resulted in a growing volume of academic research dedicated to their assessment. Despite the importance of the technique, there is little comprehensive knowledge on e-learning, especially in non-educational fields. Author co-citation analysis (ACA) is an analytical method for identifying the intellectual structure of specific knowledge domains through the relationship between two similar authors. ACA has been applied to many fields, such as information retrieval, knowledge management, and strategic management; however, it has not yet been used to analyze e-learning development. This study examines the intellectual structure of e-learning from the perspective of management information systems (MIS). By applying the ACA method, we analyze and categorize international and Taiwanese research topics into clusters. Our results show that Taiwanese authors put more effort into practical studies of business training, while international authors focus on a users’ psychological reaction to learning context. Altogether, our research provides a clear intellectual analysis of e-learning practices from 1996 to 2009, enabling us to thoroughly study and understand the influence of these techniques on modern education.     

Visualizing the intellectual structure in urban studies: A journal co-citation analysis (1992-2002)

Summary Core/periphery scientific communication is important for information transfer in terrorism literature. The mutual awareness between disciplinary journals contributors in the mainstream and those in the margins of the field enhances their social interaction. The usual case is that the mainstream of a discipline is visible through such indexes as the Web of Science (SCI) and the Journal Citation Report (JCR) the second of which assigns an impact factor to the most cited journals. In terrorism subject area, however, the reverse situation exists; only the peripheral journals in this field are indexed in JCR. From a scientific communication perspective, then, the core journals of terrorism writings are relatively invisible. This study attempts to identify the core and the periphery of journals dealing with terrorism, and suggests a way to bring them closer together. The assumption is that the quality and quantity of work in this field will increase as the distance between these two poles decreases.     

Exploring evolution and emerging trends in business model study: a co-citation analysis

This paper is an early attempt of using co-citation analysis to sort out and to analyze the development and evolution of a latest hot area, business model. A dataset of 1498 records published between 1995 and 2015 is collected from Web of Science database. The empirical results show the latest hot topics in the business model study focus on business model innovation and value creation. In addition, technology oriented articles and strategy oriented articles provide some of the main perspectives of business model study. The conclusions and implications of business model in this paper will be particularly illuminating for both academic research and enterprises’ practice application.     

Citation and co-citation indicators of a phased impact of the BCS theory in the physics of superconductivity

An intellectual account of of the physics of superconductivity was compared with citation and co-citation data during two historical periods that coincided with the introduction of its central explanatory theory (BCS). Factor analysis is used to investigate the co-citation data. The results give preliminary support to a hypothesis that distinguishes impact phases in the effect of the theory on the cognitive organization of the specialty. It is also observed that citation and co-citation data are separate types of information which, under some historical conditions, give differing results.This research was supported in part by a grant from the National Science Foundation to the Columbia Program in the Sociology of Science NSF SOC 72 05326     

Bibliometric analysis of publications in experimental particle physics on cosmic rays and with accelerators

In the first part, the present paper presents a quantitative analysis of physics publications in the domain of experimental particle physics, before the Second World War in the field of cosmic rays physics and for the modern times in the field of accelerator and collision rings experiments. In the second part, a more general study is made on publications in the various fields of physics separating contributions from experiment, theory and techniques. Three aspects of physics are enlightened: physics of exploration, physics of applications, and forefront physics.     

A co-citation analysis of representative authors in philosophy: Examining the relationship between epistemologists and philosophers of science

The relation between philosophy of science and epistemology is studied using the author co-citation technique. Co-citation links among 62 authors – a representative list of various styles and approaches to rationality – were established using the Arts and Humanities Citation Index. Multidimensional scaling results in a two-dimensional map of authors, where the axes represent the subject (philosophy of science to epistemology) and the method (qualitative to quantitative), respectively. The authors on the map can be clustered into more or less coherent groups at different levels of resolution.     

The physics of radiation damage in particle detectors

Intense high-energy particle beams cause damage to semiconductor detectors and signal-conditioning electronics by displacement and long-term ionization effects. While first-principles prediction of effects are not practical, the magnitude of each effect can be scaled approximately between particle energy and type by using an appropriate scaling parameter.     

Tracking changes in research priorities in physics: A macro level analysis

This paper attempts to monitor the changes in research priorities in Physics by analyzing the research profile of thirty three countries in major fields of Physics as classified under PACS (Physics and Astronomy Classification scheme). Data is taken from INSPEC (CD-ROM) version under two different time periods—1990 & 1995. Priority Index (PI) is used to understand the priorities of countries in major fields and shifts in their priorities during these two time periods. Correspondence analysis is applied to the matrices of research priorities to understand the multivariate relationships between countries and fields and reveal the dynamics of changes taking place in two time periods. The results and its implications for policy studies are discussed.     

Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups

Author co-citation analysis (ACA) was an important method for discovering the intellectual structure of a given scientific field. There was sufficient experience that ACA would work with almost any user data that lent itself to co-occurrence. While most of the current researches still relied on the data of scientific literatures. In this study, in order to provide useful information for better enterprise management, the idea and method of ACA was applied to analyze the information interaction intensity and contents of enterprise web users. Firstly, the development of ACA was briefly introduced. Then the sample data and method used in this study were given. Three QQ groups’ instant messages of a Chinese company were selected as the raw data and the concepts and model of user interaction intensity (UII) were proposed by referring the ACA theory. Social network analysis method, combined with in-deep interview method were used to analyze the information interaction intensity and contents of enterprise users. Operatively, Excel, Ucinet, Pajek, Netdraw and VOSviewer software were combined to analyze them quantitatively and visually. Finally, it concluded that UII model was relatively reasonable and it could nicely measure the information interaction intensity and contents of enterprise web users.     

Using the appearance of citations in full text on author co-citation analysis

As a frequently used method of depicting scientific intellectual structures, author co-citation analysis (ACA) has been applied to many domains. However, only count-based information is involved as the input of ACA, which is not sufficiently informative for knowledge representations. This article catches several metadata in full text of citing papers but not aims at content-level information, which increases the amount of information input to ACA without increasing computational complexity a lot. We propose a new method by involving information including the number of mentioned times in a citing paper and the number of context words in a citing sentence. We combine these pieces of information into the traditional ACA and compare the results between ACA and the proposed approach by using factor analysis, network analysis, and MDS-measurement. The result of our empirical study indicates that compared with the traditional ACA, the proposed method shows a better clustering performance in visualizations and reveals more details in displaying intellectual structures.     

A dense network sub-grouping algorithm for co-citation analysis and its implementation in the software tool Sitkis

Summary Clustering algorithms are used prominently in co-citation analysis by analysts aiming to reveal research streams within a field. However, clustering of widely cited articles is not robust to small variations in citation patterns. We propose an alternative algorithm, dense network sub-grouping, which identifies dense groups of co-cited references. We demonstrate the algorithm using a data set from the field of family business research and compare it to two alternative methods, multidimensional scaling and clustering. We also introduce a free software tool, Sitkis, that implements the algorithm and other common bibliometric methods. The software identifies journal-, country- and university-specific citation patterns and co-citation groups, enabling the identification of “invisible colleges.”     

Research output and transnational cooperation in physics subfields: A multidimensional analysis

This paper compares the profiles of research output and transnational cooperation (as revealed through multicountry publications) of thirty six countries in ten subfields of Physics during the period 1981–1985. The data for comparative analysis were taken fromBraun et al. Since raw counts of publications are confounded by the size of the countries and the size of the research fields, this comparison is made, using relative indicators — activity index and collaboration index. The structures of research output and transnational cooperation are analyzed through Correspondence Analysis, which leads to the identification of countries with similar profiles (of research output and transnational cooperation) and the spatial representation of countries and Physics subfields. The configurations of research output and transnational cooperation are compared to assess the concordance between the policies of these countries for research and transnational cooperation in Physics.     

Homogeneity of solution-grown single crystals: A theoretical analysis

Using mathematical modeling of crystal growth processes, we have analyzed the chemical homogeneity of single crystals grown from solution by conventional techniques. The results indicate that all of these techniques are, in principle, unsuitable for the growth of homogeneous single crystals. A mathematical model has been developed for a continuous isothermal growth process which insures constant solution growth conditions and chemical homogeneity of the growing crystal. The key conditions of a continuous isothermal growth process have been formulated which insure an intended uniform distribution of intentional and unintentional impurities in the bulk of the growing single crystal. Original Russian Text ? K.M. Rozin, O.G. Portnov, 2008, published in Neorganicheskie Materialy, 2008, Vol. 44, No. 2, pp. 238–241.