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Science is a continuum of experiences consisting of authors and their publications, and the authors’ experience is an integral part of their work that gets reflected through self-citations. Thus, self-citations can be employed in measuring the relevance between publications and tracking the evolution of research. The paper aims to discuss this issue.

Based on the bibliographic data obtained from Scopus, this study constructs and visualizes the self-citation networks of ten Nobel laureates 2018, in the fields of Physiology or Medicine, Physics, Chemistry and Economic Science, to demonstrate the evolving process of each laureate’s research across his or her scholarly career.

Statistics indicate that prominent scientists, such as Nobel laureates, have also frequently cited their own publications. However, their self-cited rates are quite low. Self-citations constitute an indispensable part of the citation system but contribute little to authors’ scientific impact, regardless of artificial self-citations. Self-citation networks present a trajectory that shows the evolving process of research across a scientist’s long-term scholarly career. There are obvious differences in self-citation patterns and network structures of different laureates without a disciplinary difference observed. The structures of self-citation networks are significantly influenced by laureates’ productivity. In addition, it is laureates’ own research patterns and citation habits that lead to the diversified patterns and structures of self-citation networks.

Only scientific achievements presented in the form of publications are investigated and other kinds of scientific output, such as patents, are not included. Moreover, this approach is fit for scientists who have had a longer career and higher productivity.

This study proves the feasibility and effectiveness of self-citation analysis as a new way to examine research evolution.

This paper aims to explore the way that the intellectual structure of the SCM discipline has been shaped over the last 20 years. The discipline is represented by the papers that are published in a network of ten leading academic journals in the field. As the SCM literature has grown, the analysis of the way that the characteristics of this network of journals have changed over time enables the identification of salient challenges facing SCM theory and practice for the new decade.

A combination of social network and citation analyses among the selected journals is applied. Citations between and within journals are collected and analysed using social network analysis metrics, that assess the communication patterns between and among the journals, the cohesion of the network and the role that each of the journals has performed (and is acquiring) in the dissemination of knowledge.

The analysis reveals that the current structure of the network of journals is characterised by an evident shift of focus of operations management journals towards more SCM phenomena, the cohesion of the discipline has improved but is still fragmented due to a lack of reciprocal co‐citations among the journals, and the emergence of three distinctive clusters in the network.

The study reflects the growth of supply chain management, by studying an eclectic number of academic journals over the past 20 years, but can be extended beyond this period and it can include more academic and practitioner journals to examine its extended problem domain.

The study confirms the inter‐disciplinary nature of supply chain phenomena and the opportunity for research in SCM to acquire a central role in the study of inter‐organisational systems.

Bibliographic studies have been conducted in the past in several (more established) disciplines. The study of where knowledge is communicated with co‐citations among papers and journals provides concrete evidence of the changing characteristics of an academic discipline. The SCM discipline is maturing as an academic discipline and the analysis of its intellectual structure can assist in establishing its legitimacy and future expansion.

This paper aims to present a methodology by which future knowledge flow can be predicted by predicting co-citations of patents within a technology domain using a link prediction algorithm applied to a co-citation network.

Several methods and approaches are used: a dynamic analysis of a patent citation network to identify technology life cycle phases, patent co-citation network mapping from the patent citation network and the application of link prediction algorithms to the patent co-citation network.

The results of the presented study indicate that future knowledge flow within a technology domain can be predicted by predicting patent co-citations using the preferential attachment link prediction algorithm. Furthermore, they indicate that the patent – co-citations occurring between the end of the growth life cycle phase and the start of the maturation life cycle phase contribute the most to the precision of the knowledge flow prediction. Finally, it is demonstrated that most of the predicted knowledge flow occurs in a time period closely following the application of the link – prediction algorithm.

By having insight into future potential co-citations of patents, a firm can leverage its existing patent portfolio or asses the acquisition value of patents or the companies owning them.

It is demonstrated that the flow of knowledge in patent co-citation networks follows a rich get richer intuition. Moreover, it is show that the knowledge contained in younger patents has a greater chance of being cited again. Finally, it is demonstrated that these co-citations can be predicted in the short term when the preferential attachment algorithm is applied to a patent co-citation network.

The purpose of this paper is to report an investigation into the social and citation networks of three information scientists: David Nicholas, Peter Williams and Paul Huntington.

Similarities between citation patterns and social closeness were identified and discussed. A total of 16 individuals in the citation network were identified and investigated using citation analysis, and a matrix formed of citations made between those in the network. Social connections between the 16 in the citation network were then investigated by means of a questionnaire, the results of which were merged into a separate matrix. These matrices were converted into visual social networks, using multidimensional scaling. A new deviance measure was devised for drawing comparisons between social and citation closeness in individual cases.

Nicholas, Williams and Huntington were found to have cited 527 authors in the period 2000‐2003, the 16 most cited becoming the subjects of further citation and social investigation. This comparison, along with the examination of visual representations indicates a positive correlation between social closeness and citation counts. Possible explanations for this correlation are discussed, and implications considered. Despite this correlation, the information scientists were found to cite widely outside their immediate social connections.

Social network analysis has not been often used in combination with citation analysis to explore inter‐relationships in research teams.

This chapter offers a complementary view to the “quality of knowledge” perspective whereby citations to academic articles are a result of efficient market processes. The chapter suggests that any academic research can be seen through the prism of two types of knowledge networks – production and usage. Author(s) of papers are located in these two networks and their absolute and relative position in these networks can help the diffusion of the focal research. The hypotheses are tested on a dataset of 1,085 papers published in the top five management journals between 1993 and 1997. Results suggest that controlling for attributes of a paper, the position occupied by author(s) in the usage networks and production networks contributes substantially to future citations received by a paper in these five journals. However, under conditions of extreme prominence in the usage network, increases in prominence in the production network dampen increase in future citations. Similarly under conditions of extreme prominence in the production network, increases in prominence in the usage network dampen increase in future citations. Implications of these results are discussed in the context of knowledge creation, dissemination, and recognition efforts of authors.

This study aims to investigate the pattern among 17 heterodox economic journals over a prolonged period to provide evidence about the social dynamics among the group of researchers who publish in them and the extent to which they hold or develop a collective identity as heterodox economists.

Traditional approaches to citation analysis are extended by the use of techniques from social network analysis. In addition to citation counts, measures of network position and clique membership are used to identify key journals and turning points in a longitudinal analysis.

Important shifts in the nature of citation within the network of journals are identified in the 1998‐2001 period and evidence is found of the emergence of a collective identity.

The methods prove a valuable extension of citation analysis and also focus greater consideration on the social relationships that citations represent. They are well suited to addressing the principal limitation of the study, its restriction to journals within the defined community rather than journals in general.

This extends traditional approaches to citation analysis, provides an important new technique in identifying emergent collective identities and provides insight into the history and nature of the heterodox economic community.

Introduces social network analysis techniques to business logistics and transportation. The case study has two specific goals. First, it introduces social network analysis techniques to the business logistics and transportation community as a useful tool with which to study the dynamic flows of communication between members of a social network. Second, it describes a wide variety of techniques and then utilizes them to examine artifacts of scholarly communication ‐ journal citations. In doing so, it tracks the changing communication patterns across two separate time periods to describe the evolution and maturation of the fields of business logistics and transportation. Concludes that over a period of ten years the flow of information between the journals in the area of business logistics and transportation has become more efficient and that journals directly communicate with one another. Also, there is no longer a distinct break between logistics and transportation.

This paper presents a comprehensive review of academic research dedicated to the field of Behavioral Strategy. Based on a series of Bibliometric and network analyses, the paper identifies the prominent trend and growth patterns pertaining to the evolution of this important strategic management subfield; it documents which particular journals, articles and authors have most influenced its development, and it maps the intellectual structure and network of authors, publications and countries. Finally, the paper considers the substantive research themes emerging from the analyses reported, in terms of their implications for future work.

The authors undertook a series of Bibliometric and network analyses of 217 relevant articles, published between 1975 and 2020, in journals listed in the Scopus database, using R-studio and VOSviewer. Articles incorporated in the study were selected based on relevant key terms searched from the title, abstract and list of keywords associated with each publication.

The results demonstrate that behavioral strategy has enjoyed robust and sustained growth, with widespread impact across many areas of the heterogeneous business and management field as a whole. Three distinct periods are identified: an infancy stage (prior to 1999); a steady growth stage (1999–2010); and a take-off stage (2011 onwards). The top three journals in terms of content coverage, based on the number of relevant articles published in relation to behavioral strategy, are Strategic Management Journal, Advances in Strategic Management (AiSM) and the Journal of Management, while the top three most influential journals, in terms of citations pertaining to Behavioral Strategy, based on an analysis of citations in the Scopus database, are Strategic Management Journal, Academy of Management Perspectives and Journal of Management Studies. Gerard P. Hodgkinson and Thomas C. Powell are the most prolific authors. The emerging themes based on intellectual structures have been identified as Behavioral Strategy, Behavioral Theory of Firm; Strategic Leadership and Dynamic Capabilities; and Strategic Cognition and Decision Making.

The study contributes to knowledge advancement concerning Behavioral Strategy by opening new possibilities to discover important research areas.

The study is the first of its kind on Behavioral Strategy providing a comprehensive systematic literature review.

This study reviews the methods found in the literature for the ranking of authors, identifies the pros and cons of these methods, discusses and compares these methods. The purpose of this paper is to study is to find the challenges and future directions of ranking of academic objects, especially authors, for future researchers.

This study reviews the methods found in the literature for the ranking of authors, classifies them into subcategories by studying and analyzing their way of achieving the objectives, discusses and compares them. The data sets used in the literature and the evaluation measures applicable in the domain are also presented.

The survey identifies the challenges involved in the field of ranking of authors and future directions.

To the best of the knowledge, this is the first survey that studies the author ranking problem in detail and classifies them according to their key functionalities, features and way of achieving the objective according to the requirement of the problem.

Work is described on patent citation networks, a novel technique for displaying the history of technological subjects and their key turning points. The method accurately identifies the key patents in a subject field, and if a subject docs not have a definite starting point, this is reflected in the patent network. The networks are less satisfactory if the key patent took a long time to appear in print. Subjects studied were: semi‐synthetic penicillins, tobacco substitutes, electrophotography, Ziegler‐Natta catalysis, and hovercraft. Possible uses of the technique are examined.