Author Co-citation Analysis Research Articles

Cahit Arf: Exploring his scientific influence using social network analysis, author co-citation maps and single publication h index1

Cahit Arf (1910‑1997), a famous Turkish scientist whose picture is depicted in one of the Turkish banknotes, is a well‑known figure in mathematics with his discoveries named after him (e.g., Arf invariant, Arf rings, the Hasse‑Arf theorem). Although Arf may not be considered as a prolific scientist in terms of number of papers (he authored a total of 23 papers), his influence on mathematics and related disciplines was profound. As he was active before, during, and after World War II, Arf’s contributions are not properly listed in citation indexes, and thus did not generate many citations even though several papers with “Arf” in their titles appeared in literature. This paper traces influence of Arf in scientific world using citation analysis techniques first. It reviews scientific impact of Arf by analyzing both; the papers authored by Arf and papers whose titles or keywords containing various combinations of “Arf invariant,” “Arf rings,” and so on. The paper then goes on to study Arf’s contributions using social network analysis (SNA) and author co‑citation analysis (ACA) techniques. CiteSpace and pennant diagrams are used to explore scientific impact of Arf by mapping his cited references derived from Thomson Reuters’ Web of Science (WoS) database. The direct and indirect influences of Arf’s highly cited paper on Arf invariant are assessed through ACA and single publication h index, respectively. The paper ends with a discussion of whether data analysis techniques used in this study can be useful to study scientific impact of researchers retrospectively.

An Analysis of Intellectual Structure in the Field of Korean Art Therapy Studies -Centering on Author Co-citation Analysis-

An Analysis of Intellectual Structure in the Field of Korean Art Therapy Studies -Centering on Author Co-citation Analysis-

Measuring author research relatedness: A comparison of word‐based, topic‐based, and author cocitation approaches

Relationships between authors based on characteristics of published literature have been studied for decades. Author cocitation analysis using mapping techniques has been most frequently used to study how closely two authors are thought to be in intellectual space based on how members of the research community co‐cite their works. Other approaches exist to study author relatedness based more directly on the text of their published works. In this study we present static and dynamic word‐based approaches using vector space modeling, as well as a topic‐based approach based on latent Dirichlet allocation for mapping author research relatedness. Vector space modeling is used to define an author space consisting of works by a given author. Outcomes for the two word‐based approaches and a topic‐based approach for 50 prolific authors in library and information science are compared with more traditional author cocitation analysis using multidimensional scaling and hierarchical cluster analysis. The two word‐based approaches produced similar outcomes except where two authors were frequent co‐authors for the majority of their articles. The topic‐based approach produced the most distinctive map.

Study of influential authors, works and research network of advertising research: 1998 to 2007

Changes in citation patterns and in the advertising reflect the evolution of the field itself. This study utilized author co-citation analysis, a bibliometric methodology and social network analysis methodology, to highlight the most influential authors, analyze citation relationships, reveal correlations among publications, and show trends and patterns in the advertising field over two consecutive time periods, 1998 to 2002 and 2003 to 2007. In addition, factor analysis was used to examine the breadth of the authors’ research areas. This study serves as a disciplinary review of the field of advertising research. Key words: Advertising, bibliometric analysis, author co-citation analysis, social network analysis, knowledge of network, Intellectual structure.

Análisis de cocitación de autor en el modelo de aceptación tecnológico, 2005-2010

This paper explores the research trends of the Technology Acceptance Model (TAM) using Author co-citation analysis (ACA) methods, from January 2005 to June 2010. Through the ISI Web of Knowledge (WoK) 38 key authors were selected: a Factor Analysis was performed and different techniques of information visualization, such as Multidimensional Scaling (MDS) and Pathfinder Network (PFNET), were applied. The goal of this article is to identify the most popular research topics of TAM over the five years studied. The results obtained reveal two new research themes, as well as the existence of three constructs highlighted by researchers of TAM. The results are discussed.

Author bibliographic coupling analysis: A test based on a Chinese academic database

The paper first introduces the basic problems of author bibliographic coupling including the relationship between author bibliographic coupling and document bibliographic coupling as well as the three calculation methods of author coupling strength, namely, simple method, minimum method and combined method. Next I choose a small sample of authors in Chinese library and information science (LIS) as the research objects to have a comparative analysis of three types of author coupling strength algorithms (the data source is from the Chinese Social Sciences Citation Index (CSSCI)). The result shows that the minimum method is the most appropriate one to calculate the author coupling strength. Then a large sample of authors is chosen to analyze the intellectual structure of Chinese LIS. The result shows that author bibliographic coupling analysis (ABCA) can discover the intellectual structure of a discipline better. It is also found that compared with author cocitation analysis (ACA), ABCA has the advantage that it not only can discover the intellectual structure of a discipline more comprehensively and concretely but also can reflect the research frontier of the discipline. Finally, some practical problems that arise during this research are discussed.

복수저자기반 동시인용분석을 활용한 지적구조 분석: 경제학 분야를 중심으로

전통적인 저자동시인용분석은 인용색인 데이터베이스가 색인하는 제 1저자만을 대상으로 하기 때문에 제1저자 이외의 저자의 기여도가 제외된다는 한계를 지니고 있다. 본 연구의 목적은 경제학 분야를 대상으로 하여 복수저자기반의 저자동시인용분석을 활용하여 해당 학문분야의 지적구조를 제시하고자 한다. 이를 위하여 네 가지 실험집단을 구성하였다. (1) 인용된 문헌의 제 1저자만을 고려한 저자동시인용분석, (2) 문헌당 총합 제한 없이 복수저자에게 동일한 인용빈도 부여한 저자동시인용분석, (3) 문헌당 총 합을 제한하여 인용빈도를 부여한 저자동시인용분석, (4) 저자기입 순서를 고려하여 인용빈도를 부여한 저자동시인용분석. 본 연구의 결과는 크게 제 1저자만 고려한 방식과 복수저자를 모두 고려한 방식에 따라 군집형성에 있어서 차이를 보였다. 또한 복수저자의 인용빈도를 구하는 방식에 따라서 군집의 소속이 달라지는 변화를 찾아볼 수 있다. 이러한 결과는 공동저작이 증가하는 학문적 추세에 비추어서 학문의 지적구조를 밝히기 위해서는 복수저자가 고려된 저자동시인용분석이 중요하다는 점을 시사한다.

Research on the cross-citation relationship of core authors in scientometrics

Generally speaking, citation relationship among authors can be divided into 3 types: co-citation, coupling and cross-citation. Since author co-citation analysis was first introduced in 1982, it has...

A study of influential authors, works and research network of consumer behavior research

With the proliferation of consumer behavior research in recent decades, the ability to effectively identify the most influential and representative collection of research articles had become significantly important. Research in the consumer behavior area had developed rapidly, but no recent studies had examined contemporary consumer behavior research. This paper employed author co-citation analysis, a bibliometric methodology and social network analysis methodology, to highlight the most influential authors, to analyze citation relationships, to exploit changes in the intellectual base and to show trends and patterns in the consumer behavior field over two consecutive time periods, 1989 to 1998 and 1999 to 2008. In order to analyze the dynamic intellectual structure of consumer behavior research, author co-citation analysis was conducted of 16,536 references from 606 articles found in the SSCI and SCI databases from 1989 to 2008. In addition, factor analysis was used to examine the breadth of the authors’ research areas. The aims of this paper were twofold: to provide a valuable direction for future consumer behavior research, and to propose an objective means of establishing the relative importance of different knowledge nodes in the recent development of the consumer behavior field. Key words: Consumer behavior, bibliometric analysis, author co-citation analysis, social network analysis, knowledge of network.

The Intellectual Structure Of Research Into PPPs

Public–private partnerships (or PPPs) encompass a broad spectrum of public sector infrastructure and service initiatives. Recently, some scholars have undertaken literature review studies of the various definitions of the concept of PPPs and its research traditions, identifying several distinct PPP research approaches. This article aims to: (1) enhance the findings of these literature reviews; (2) identify the cited works and authors (intellectual structure) in the published research on PPPs; (3) define the subfields that constitute the intellectual structure of PPP research fields. The methodology is based on the bibliometric techniques of citation and author co-citation analysis applied to published research on PPPs included in the Social Science Citation Index.

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.

저자프로파일링분석과 저자동시인용분석의 유용성 비교 검증

본 연구는 학문의 지적 구조를 분석하는 새로운 분석기법인 저자프로파일링분석과 전통적인 분석기법인 저자동시인용분석을 비교하여 분석함으로써 국내 연구환경에 맞는 지적 구조 분석 방법을 제안하는 데 목적을 두고 있다. 이를 위하여 본 연구에서는 인용색인을 이용하지 않고 학문의 지적 구조를 분석할 수 있는 텍스트마이닝을 이용한 저자프로파일링분석을 통하여 새로운 지적 구조 방법의 유용성을 확인하고자 하였다. 분석대상 학술지는 대한건축학회 논문집 - 계획계를 대상으로 하였다.

Mapping the intellectual structure of decision analysis research in 1966–2007: An author co-citation analysis

To map the intellectual structure of decision analysis research in the last four decades, this study identified the most infl uential scholars as well as the correlations among these scholar's publications. In this study, author co-citation analysis and social network analysis techniques are used to investigate the intellectual pillars of the decision analysis literature. By analyzing 12,853 citations of 702 articles published in SSCI journals in decision analysis area between 1966 and 2007, this study maps a knowledge network of decision analysis studies. The results help profile the knowledge network production in decision analysis and provide important insights on the change of research paradigm of current decision analysis studies.

Intellectual structure of stem cell research: a comprehensive author co-citation analysis of a highly collaborative and multidisciplinary field

This study is an attempt to approach the intellectual structure of the stem cell research field 2004---2009 through a comprehensive author co-citation analysis (ACA), and to contribute to a better understanding of a field that has been brought to the forefront of research, therapy and political and public debates, which, hopefully, will in turn better inform research and policy. Based on a nearly complete and clean dataset of stem cell literature compiled from PubMed and Scopus, and using automatic author disambiguation to further improve results, we perform an exclusive all-author ACA of the 200 top-ranked researchers of the field by fractional citation count. We find that, despite the theoretically highly interdisciplinary nature of the field, stem cell research has been dominated by a few central medical research areas--cancer and regenerative medicine of the brain, the blood, the skin, and the heart--and a core of cell biologists trying to understand the nature and the molecular biology of stem cells along with biotechnology researchers investigating the practical identification, isolation, creation, and culturing of stem cells. It is also remarkably self-contained, drawing only on a few related areas of cell biology. This study also serves as a baseline against which the effectiveness of a range of author-based bibliometric methods and indicators can be tested, especially when based on less comprehensive datasets using less optimal analysis methods.

Mapping the highly collaborative stem cell research field: Adding last-author-based analysis to the author co-citation analysis family

In this paper we compare author cocitation analysis (ACA) results for the highly collaborative stem cell (SC) research field 2004–2009 using three types of ACA: all-author, first-author, and last-author. The latter of these, introduced here for the first time, is found to be an excellent compromise between first- and all-author ACAs in that (a) Scopus directly supports it and (b) its results are close to those of an (optimal) all-author ACA in fields where last authors are traditionally those who supervise the research published in a paper. We confirm predictions from previous studies that all-author ACA results have better model fits than single-author ACA ones, but cannot confirm the hypothesis that significantly higher levels of collaboration in a field lead to significantly greater differences between first- and all-author ACA results.

The Intellectual Structure of Health and Medical Informatics

This paper presents the results of an author co-citation analysis of the health and medical informatics discipline. It updates a smaller study that focused on health information systems. Drawing on such sub-fields as bio informatics, clinical decision support systems, computational genomics, e-health, health informatics, and others, this body of knowledge defines the core internal structure of the discipline and delineates its sub-fields. An author co-citation analysis was performed for a nine-year period using the members of editorial boards of several medical informatics-related journals as an initial author sample (N = 272). Several multivariate analyses, including cluster analysis, factor analysis and multidimensional scaling, were performed. The authors results confirm that several established sub-fields still stand but a number of new sub-fields are emerging. Future research can build on this work and examine other journals and additional authors to gain insights into the collaborative and interdisciplinary nature of the health and medical informatics discipline.

저자동시인용분석과 저자서지결합분석에 의한 지적 구조 분석: 사회복지학 분야를 중심으로

이 연구는 저자동시인용분석과 저자서지결합분석을 종합한 학문의 지적 구조 분석 방법론의 유용성을 밝혀 이를 새롭게 제안하고자 하였다. 또한 국내 사회복지학 분야의 전통적인 지적 구조뿐만 아니라 최신의 연구동향 및 최근 활발한 연구 활동을 하는 핵심 연구자를 파악하는 데에 그 목적이 있다. 연구 결과 특정 학문 분야의 지적 구조를 파악하는데 있어 학문의 전통적 하위 주제 영역의 파악이나 실제 연구자들의 연구 경향을 파악하기 위하여 저자동시인용분석뿐만 아니라 저자서지결합분석을 병행하는 것이 보다 효율적인 것으로 나타났다.

The structure and dynamics of cocitation clusters: A multiple‐perspective cocitation analysis

AbstractA multiple‐perspective cocitation analysis method is introduced for characterizing and interpreting the structure and dynamics of cocitation clusters. The method facilitates analytic and sense making tasks by integrating network visualization, spectral clustering, automatic cluster labeling, and text summarization. Cocitation networks are decomposed into cocitation clusters. The interpretation of these clusters is augmented by automatic cluster labeling and summarization. The method focuses on the interrelations between a cocitation cluster's members and their citers. The generic method is applied to a three‐part analysis of the field of information science as defined by 12 journals published between 1996 and 2008: (a) a comparative author cocitation analysis (ACA), (b) a progressive ACA of a time series of cocitation networks, and (c) a progressive document cocitation analysis (DCA). Results show that the multiple‐perspective method increases the interpretability and accountability of both ACA and DCA networks.

Identifying and Mapping the Intellectual Structure of Decision Analysis Studies: An Author Co-Citation Analysis (1966-2007)

This paper aims to explore the theoretical essentials of knowledge production in decision analysis studies, from a dataset of 702 journal articles. A computer-aided co-citation net- work analysis of 12,853 citations that have been meticulously voted by over ten thousand authors traces the historical timeline of the development paths and paradigms shift of decision analysis studies. Based on the analysis, we divided the development of research on decision analysis studies into three stages: initializing stage (1966-1983), developing stage (1984-1996), and declining stage (1997-2007). We ranked overall first author citations, article citations and journal citations for each stage. Using network analysis, we mapped the co-citation network for each stage and analyzed the centrality of top 27, 31 and 25 articles in three different stages. This study not only draws a clearer picture of decision analysis development, but also offers some useful information for researchers in planning their future research in this area.

Focus and Diversity in Information Systems Research: Meeting the Dual Demands of a Healthy Applied Discipline

Drawing on sociology of science foundations, we argue that, in order to survive and prosper, healthy applied disciplines must meet the dual demands of academic and practitioner audiences by demonstrating both focus and diversity in their research. First, we use this concomitant modality to explain why previous studies into the structure of the Information Systems discipline have reported contradictory results, with some finding a focused field while others conclude that the field is diverse. In support of our argument, we then present the results of a longitudinal, author co-citation analysis, looking across the full range of journals in which IS research is published. Our results suggest that the IS field has sustained a focus on research within three subfields over a 20-year period from 1986 to 2005: (1) a thematic miscellany of research on development, implementation, and use of systems in various application domains; (2) IS strategy and business outcomes; and (3) group work and decision support. At the same time, the field has demonstrated considerable diversity within and around these core subfields, with researchers responding flexibly to the rapidly changing field by investigating these areas with new paradigms and in new contexts, and by exploring new topics including inter-business and Internet applications, computer-supported collaborative work, virtual teams, and knowledge management. Finally, we demonstrate that, over the 20-year period from 1986 to 2005, the discipline has shifted from fragmented adhocracy to a polycentric state, which is particularly appropriate to an applied discipline such as IS that must address the dual demands of focus and diversity in a rapidly changing technological context.