627 resources related to Bibliometrics
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All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
JCDL encompasses the many meanings of the term "digital libraries", including (but not limited to) new forms of information institutions; operational information systems with all manner of digital content; new means of selecting, collecting, organizing, and distributing digital content; and theoretical models of information media, including document genres and electronic publishing. Digital libraries are distinguished from information retrieval systems because they include more types of media, provide additional functionality and services, and include other stages of the information life cycle, from creation through use. Digital libraries also can be viewed as a new form of information institution or as an extension of the services libraries currently provide.
The IEEE CBI series encourages a broad understanding of Business Informatics research, and intends to further its many different facets, theoretical foundations and experiential body of knowledge.
Circuits and Systems, Computers, Information Technology, Communication Systems, Control and Instrumentation, Electrical Power Systems, Power Electronics, Signal Processing
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...
Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
2016 10th International Conference on e-Commerce in Developing Countries: with focus on e-Tourism (ECDC), 2016
Social network analysis (SNA) method is characterized as a structured technique for providing so as to analyse the connections within the networks by visualizing and analyzing relationships among documents, individuals, and even whole associations. The fundamental point of this research was to analyze the 4720 scientific documents on the field of E-Government through SNA techniques which decomposed the networks of ...
INC2010: 6th International Conference on Networked Computing, 2010
Modern scientific researches are facing two kinds of problems: how to select proper research themes, how to get related experts and works. Expert search and hotspot detecting are two methods used broadly to settle these problems. Expert search can help resolving the problems of expertise retrieval, expert evaluation, collaborator choosing and so on in particular research fields, while hotspot detecting ...
2018 5th International Symposium on Emerging Trends and Technologies in Libraries and Information Services (ETTLIS), 2018
This study intends to explore the growth of literature and the emerging trends in the literature of Women's Studies. The primary objective of the study is to determine the growth of thrust areas and most frequently used keywords through the application of bibliometric and content analysis methods. Bibliometric techniques can be applied to any discipline to find out trends and ...
2014 11th Web Information System and Application Conference, 2014
In this paper we introduce a new modification of calculating the Impact Factor(IF) for journals based on the variation of papers' popularity in different journals and research fields over time, which we call "life cycle". The impact factor value for a journal calculated by the proposed method is called Improved Impact Factor (IIF). Papers in forty journals published from 1980 ...
IEEE Transactions on Professional Communication, 1973
Citation analysis provides a tool for the evaluation of the relative importance of journals as well as papers. A publication, the ISI Journal Citation Reports, is issued primarily to permit users to make such evaluations by answering the basic questions: How often has a journal been cited? What journals have cited it and how frequently? What journals has it cited ...
Social network analysis (SNA) method is characterized as a structured technique for providing so as to analyse the connections within the networks by visualizing and analyzing relationships among documents, individuals, and even whole associations. The fundamental point of this research was to analyze the 4720 scientific documents on the field of E-Government through SNA techniques which decomposed the networks of the keywords of E-Government domain incorporated into the Web of Science Core Collection, a well-known scientific dataset during a time span of 20 years from 1995 to 2015. The algorithm of Burst Detection has been utilized for investigating the emergent trends and visualization of the E-Government domain. This study highlights the the most active research fronts of e-government, providing a research-based platform for further scholarly discussions.
Modern scientific researches are facing two kinds of problems: how to select proper research themes, how to get related experts and works. Expert search and hotspot detecting are two methods used broadly to settle these problems. Expert search can help resolving the problems of expertise retrieval, expert evaluation, collaborator choosing and so on in particular research fields, while hotspot detecting is very important for researchers to identify research fronts and promising themes in these fields. We first summarize the present researches in the world of these two issues, and then design an expertise search & hotspot detecting system which can identify experts' and institutions' expertise automatically, and also detect research hotspots and trends dynamically in particular fields. At last, we implement the system with traditional medicine as the selected field.
This study intends to explore the growth of literature and the emerging trends in the literature of Women's Studies. The primary objective of the study is to determine the growth of thrust areas and most frequently used keywords through the application of bibliometric and content analysis methods. Bibliometric techniques can be applied to any discipline to find out trends and growth of literature and to assess the quality and productivity in that field. Content analysis is a research technique for making inferences by systematically and objectively identifying specified characteristics within texts. It is a well tested method in the bibliometric studies. It is also employed in the construction of thesaurus and subject headings. Content analysis is also useful in analyzing the user queries and designing search formulation. For the analysis of content, among 21968 keywords only 15821 unique keywords were considered, from various journals during the period 1945-2008.
In this paper we introduce a new modification of calculating the Impact Factor(IF) for journals based on the variation of papers' popularity in different journals and research fields over time, which we call "life cycle". The impact factor value for a journal calculated by the proposed method is called Improved Impact Factor (IIF). Papers in forty journals published from 1980 to 2014 are selected and examined, and the impact factor values from IF and IIF methods then compared. The position of the journals ranked by impact factors obtained from IF method were different from those from the IIF method. It is concluded that IIF is more suitable for journals with longer life cycle and journals with longer IIF.
Citation analysis provides a tool for the evaluation of the relative importance of journals as well as papers. A publication, the ISI Journal Citation Reports, is issued primarily to permit users to make such evaluations by answering the basic questions: How often has a journal been cited? What journals have cited it and how frequently? What journals has it cited and how frequently? These data have been conditioned by the inclusion of a `relative impact factor' to give additional weight to the significance of the articles it publishes. The information thus developed is particularly attractive to librarians, journal editors and publishers, individual scientists, and science policy-makers.
Data mining is a very popular research area among researchers from various disciplines. Identification of patterns related with data mining research are very popular. The main objective of this study is to identify the main and subdisciplines of data mining research using text mining techniques. This paper analyzes the highly cited research publications in the field of data mining using text mining methods. Web of Science was used as the source database for extracting the data required for the study. The top 50 articles under Information Science Library Science research area were selected as the study sample of this research. The data were coded separately using titles and abstracts of selected articles. The main disciplines and further sub- disciplines were identified. Based on the categories, term-document matrix was created. The analysis revealed that the prominent research areas related with data mining are GIS, information and bibliometric analysis. Further, it was concluded that these results based on the mining of information from the highly cited publications will be useful for researchers and publishers for academic and indexing purposed.
Investments in emerging technologies (ETs) are extremely risky because of the high degree of market uncertainty (unknown) and technology performance (underperforming). ETs are described as new technologies based on entirely new methods and processes that have been demonstrated in a research environment but have not been developed yet to the point of being ready for mass production. This paper defines a methodology to estimate the diffusion of emerging technologies. The methodology is divided in two main parts. First, a modified Delphi process called snow ball is used to define the group of experts who will be defining the set of critical factors affecting the diffusion of the new technology. The initial list of experts is defined using bibliometrics analysis, and then an interactive process is used to increase the number of experts until the desired number to increase reliability. Second, a target segment of customers is involved in the process. This group will be using pairwise comparison analysis (PWC) to define the relative importance among the critical factors and choose the attractiveness level for each factor. The process combined methods such as Delphi, bibliometric analysis, and utility to define a global composite indicator that will be used as a proxy indicator of the diffusion for the new technology.
With the rapid development of mobile Internet, the growth amount of data has exploded, and data mining has played an increasingly important role in data analyzing. More and more researches have been done on data mining. Detecting intellectual structure of data mining research is of significance in understanding its research topics and research fronts. Focusing on the method of bibliographic coupling analysis, this paper explores the intellectual structure of data mining during 2007-2016, based on 12625 cleaned bibliographic data of data mining-related articles retrieved from Web of Science. Experiments results show that there are mainly 10 research topics in the field of data mining, such as classification, frequent pattern mining and clustering, among which the first three topics are the research on domain of data mining itself, and the last seven topics are the research on data mining applications.
Every research manuscript is appreciated in the form of citations. Citations are expected to carry the essence of the underlying base paper by some rhetorical means. However, this is not true in reality. Citation manipulations are equally possible which shall be identified using research semantics. This paper discusses machine learning based approaches for analyzing research citations with the aim of finding quality research citations. On analyzing the semantics of the research manuscript and the respective citations, this paper proposes various metrics for citation quality analysis including deep cite, raw expressive power, expressive power and normalized expressive power.
The bibliometrics analysis of the literature which was indexed by the databases of SCI-E (Science Citation Index Expanded), SSCI (Social Science Citation Index) and CPCI-S (Conference Proceedings Citation Index-Science) was conducted with a span of years from 1997 to 2015 for the fields in preparing damping material with waste rubber using analyses results of Web of Science. In the view of several factors such as international production, country/territory, subject area, and source title, the status and research fronts were investigated for the purpose of promoting the international influence and reputation of this area. It was found that the preparing of damping materials with recycled rubber filled with modified natural rubber, as while as the damping properties of waste rubber and plastics blends (HDPE, PP, and PVC) are the main research hot spots of recent year in this subject.
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