Citation Analysis Method Research Articles

Characterization of the technological domain of relational citation analyses: A study of stem cell patents

This research aims to analyze the contribution of univariate and relational citation analysis methods, applied to patents, for the identification and characterization of scientific-technological domains, in documents indexed in the Derwent Innovation Index database. The adopted method was patentometrics associated with bibliometrics, using joint analysis of the relational bibliometric citation methods: co-citation and bibliographic coupling. The corpus of the study is composed of 144 patent families. Through the bibliographic coupling, 5 theme clusters and researchers with well-defined thematic domains were observed. Employing co-citation, 23 clusters were identified, characterizing the epistemic domains related to technological currents in which stem cell inventors operate. Such results allowed us to prospect the scientific-technological scenario in this theme, which can illustrate some institutions’ innovation potentials and explain who the actors at the forefront of such research are. It is proposed that applying this methodology allies to topic modeling techniques.

Обучаем школьников анализу языковой личности персонажа: подготовка к итоговому сочинению по литературе

The article is devoted to the problem of preparing eleventh graders to write a final essay on literature. The focus is on the methodology of working on the topic “Language and linguistic personality”. In modern humanities, the term “linguistic personality” is studied by scientists from different angles: linguodidactic, linguoritorical, communicative, linguoculturological and linguocognitive approaches. A controversy arises around the methodology for analyzing the linguistic personality, both real (native speaker) and conventional (virtual) within the framework of a literary text, which determines the relevance of the study, the novelty of which lies in the development of an algorithm for analyzing the linguistic personality of a character in a literary text based on the material, adapted for schoolchildren story by A.P. Chekhov’s “Gooseberry”. The purpose of the article is to develop, based on the research of L.N. Churilina and Yu.N. Karaulov, a simplified algorithm for analyzing linguistic personality for schoolchildren, which can be used if you choose the appropriate topic when writing a final essay on literature as part of the Unified State Exam. The research is based on linguostylistic and comparative methods, as well as methods of citation and holistic analysis of a literary work. The subject of the study is the linguistic personality of the heroes of Chekhov’s story “Gooseberry”. Based on the analysis of the story, the author demonstrates the main aspects of revealing the linguistic personality of the characters: mental and speech activity determined by the worldview of the characters, their education and intellectual development, origin and social circle, the space-time continuum in which the text production of the characters is inscribed both in the mental (thought process, objectified by internal speech), and in real discourse (speaking) taking into account the addressee and the statements of others (dialogue, direct speech, improperly direct speech). The proposed work format develops students’ skills in analyzing the linguistic personality of a character and can be successfully used by philologist teachers in preparing for the final essay on literature at school.

Hybrid Model for Conducting Multiple Citation Analysis Operations Using the Same Citation Data

This study proposes a hybrid model, which can be used for conducting various citation analysis operations over a set of research works/papers interconnected with each other through their citations and references. Citation analysis of papers becomes important while evaluating their role and influence in a particular field and understanding their relation and connectivity of content with other important documents in the same field. The citation analysis methods can further be used for tracing the relationship between domains, keywords, and many other relative factors, based on the criteria considered for citation analysis operation. The research in the field of citation analysis, traditionally focussed on developing new citation analysis methods for better evaluation or ranking of the papers. This paper proposes a model, where multiple existing citation analysis operations can be implemented in a single platform. The proposed model calculates the result for co-citation analysis, bibliographic coupling, and citation density analysis. The process involved in the development of this model is discussed in detail in the later part of the manuscript. The process is based on computational coding, and hence special attention needs to be paid to the proper arrangement of papers in tabular form, based on the information of their year of publication and their citation network data. An algorithm for the model has been proposed in the later part of the manuscript that is based on the code formulated to find the relative data for conducting the operations.

Bibliometric Exploration of Publication Development in Entrepreneurship Education

This research presents a bibliometric exploration of publication development in entrepreneurship education, aiming to elucidate trends, research focuses, and emerging opportunities within the field. Entrepreneurship education has gained prominence as a crucial discipline in academia and practice, reflecting the growing recognition of entrepreneurship's role in economic and societal advancement. Through bibliometric analysis techniques, including citation analysis, keyword analysis, and visualization methods, a comprehensive examination of scholarly publications related to entrepreneurship education from 1977 to 2023 was conducted. The findings offer insights into publication metrics, such as citation counts, author productivity, and impact indices, providing a nuanced understanding of the scholarly landscape. Visualization of term networks and trends revealed dominant research themes, evolving concepts, and potential research directions within entrepreneurship education. Practical implications derived from this study inform educators, policymakers, practitioners, and other stakeholders about curriculum design, policy formulation, and program implementation strategies to foster collaboration, innovation, and excellence in entrepreneurship education research and practice.

Linking national culture and entrepreneurship: a systematic literature review

PurposeThis study generates an aggregated overview of the literature on national culture and entrepreneurship (NC&E). The aim is to map the NC&E field via a systematic literature review of 130 articles published in refereed academic journals up to the end of 2022Design/methodology/approachTwo different citation analysis methods are used: bibliographic coupling and co-citationFindingsThe results include the most influential studies, top-cited references and journals, and five major thematic clusters. The latter are (1) cultural models, frameworks and case studies; (2) social entrepreneurship, perceived barriers and entrepreneurial intentions; (3) institutions and sociocultural environments; (4) entrepreneurial orientation, cognition and networks; and (5) economic growth, entrepreneurial activity and firm performanceOriginality/valueIn contrast to previous NC&E literature reviews, this research employs a combination of bibliographic coupling and co-citation analysis. The findings offer a clearer understanding of the intellectual structure of this field and suggest new avenues for future investigations, including several relationship links with the resource-based view

Performance and Network Analysis of Research in Stock Market Anomalies

The objective of this study is to present quantitative statistics and a comprehen- sive reviey of the key influential and intellectual structure of anomalies in the stock market. The study examines 111 papers that Yere published in scholarly journals betYeen 1989 and 2022 and are indexed in the Scopus database. This research applied bibliometric methods of citation analysis, co-occurrence analysis, co-authorship, and bibliographic coupling of au- thors and countries. As far as the authors are ayare, this is the first article to discuss the bibliometric literature on stock market anomalies. This research aids in the exploration and construction of a quantitative base for the scientific advancement of stock market anomalies by academics and other researchers.

Bibliometric Analysis of Studies Based on Context-Based Learning Method in Science Teaching

Although the studies on Context-Based Learning (CBL) within the scope of science are increasingly blooming in recent years, original studies offering new perspectives still remain limited in numbers. This shows that in order to increase the quality of studies on CBL in science, physics, chemistry, and biology teaching, there is a need for more inclusive studies and to ensure these new studies are original in their content. The aim of this study is to emphasize the need for CBL in high school science teaching by making a bibliometric review of the literature on CBL within the scope of science on the Web of Science (WOS). Performing a search in WOS by limiting "Science education and education research" with the title filter and "Context-based" keyword, a total of 545 studies were found. These studies were visualized using the VOSviewer 1.6.18 program. In this study descriptive statistical analysis, citation analysis, co-occurrence analysis, co-citation analysis, co-authorship analysis, and bibliographic matching analysis methods were used. The findings show that CBL is recorded in six main research areas: "Context-Based Learning", "Context-based approach", "Context-based problems", "Chemistry teaching", "Context-based responsibilities" and "Professional development of teachers". Although there have been intensive studies on CBL in the last 7 years, more qualified studies are needed within the scope of science education. There is a need for qualified studies on CBL for teachers to improve their teaching techniques and to overcome the gap in studies that facilitate students' learning.

Twenty Years of Research on Millennials at Work: A Structural Review Using Bibliometric and Content Analysis

This study reviews the literature regarding millennials at work over the past 20 years (from 2000 to 2020). Bibliometric methods of citation, co-citation and bibliographic coupling analysis, as well as traditional content analyses, were performed on a sample of 377 articles retrieved from ISI Web of Science (WOS). Citation analysis revealed influential articles, authors, journals and countries. Co-citation analysis and bibliographic coupling identified six historic research streams and four current research fronts. The content analysis finally led to the identification of the future research questions. The study explores the body of literature on millennials at work over the last 20 years and offers context and placement in the literature for prior studies by presenting the historical and current state of research. Further, recommended research questions are identified for future research. Finally, we present implications for HRM practice and research.

A CONTENT ANALYSIS RESEARCH ON STEM ACTIVITY IN COLLEGES

People must be qualified to adapt to developments resulting from the fast evolution of information and technology. This would be accomplished by incorporating technology into instruction. To survive in the world of science and technology, the disciplines that will continue to play a significant role in the future are Science, Technology, Engineering, and Mathematics (STEM). In this respect, several studies have been carried out on enhancing STEM education in colleges. This research aims to evaluate these studies and the trends used to define the scientific content criteria. The citation analysis method investigates STEM-related papers indexed in scholarly publications. A total number of 202 studies published between 2017 and 2022 were examined. According to the study's results, the number of citations and research articles increased remarkably in 2021. This result enables researchers to describe the characteristics of the contents of scientific journals.

Andrei Fedorov’s impact: a scientometric analysis

ABSTRACT This paper presents a scientometric analysis of Andrei Fedorov's research publications. Fedorov, a preeminent Russian translator and translation scholar, was the author of the Introduction to Translation Theory, published in Russian in 1953. The book was highly influential and considered the beginning of translation studies as a discipline in Russia and in other countries, mainly of the Eastern Bloc. Fedorov's work has also been known to some extent in the Western European literature. Previous studies have emphasised the ideological divide between Fedorov and Western European scholars. While recognising the ideological barriers that did not facilitate free exchange of knowledge, this paper focuses on another perspective, bringing to light citations to Fedorov's works by European theorists, including those from the Western Bloc, thus reassessing his role in the scholarship. Adopting several methods of publication count and citation analysis, this paper is the first scientometric assessment of Fedorov's work.

Measuring Academic Representative Papers Based on Graph Autoencoder Framework

Objectively evaluating representative papers in a specific scientific research field is of great significance to the development of academia and scientific research institutions. Representative papers on achievements in scientific research can reflect the academic level and research characteristics of researchers and research institutions. The existing research methods are mainly based on external feature indicators and citation analysis methods, and the method of combining artificial intelligence is in its infancy. From the perspective of scientific research institutions, this paper proposes a graph autoencoder framework based on heterogeneous networks for the measurement of paper impact, named GAEPIM. Specifically, we propose two versions of GAEPIM based on a graph convolutional network and graph transformer network. The models rank papers in a specific research field and find the most representative papers and their scientific institutions. The proposed framework constructs a heterogeneous network of papers, institutions, and venues and simultaneously analyzes the semantic information of papers and the heterogeneous network structural information. Finally, based on the complex network information diffusion model, the proposed method performs better than several widely used baseline methods.

BIBLIOMETRIC ANALYSIS ON NUMERICAL LITHOFACIES IDENTIFICATION FOR RESERVOIR CHARACTERIZATION IN THE PERIOD OF 1980 -2021

The term "electrofacies" was introduced in 1980 by Serra and Abbott, it had been developed promptly since 2009. The development was triggered predominantly by wireline logging technology and artificial intelligence technology. The electrofacies categorization was intended to facilitate the study of reservoir characterization. However, it is difficult to formulate deterministically, due to the uniqueness of the depositional environment and geological processes that involve many physical properties. At least, there are 369 articles which were obtained from Scopus sources in the period of 1980 - 2021. In this bibliometric analysis, we regrouped the articles into four groups, i.e. “pattern recognition” “facies analysis”, “objectives” and “quality”. This grouping was attained on the methods of co-occurences, co-authorship, citation analysis and bibliographic coupling using VOSviewer software. The distance and coupling between themes will determine the level of quality and quantity of discussion between them. The quality of the objective resides in the certainty value of the lithology controlled by transportation or diagenetic events. For example, sand and shale which are siliciclastic lithology will have a higher degree of certainty than carbonate rocks. Therefore, the wide gap occurred during the application of artificial intelligence, especially for complex facies and uncertain geological conditions. The application of artificial intelligence is not solely functional without involving geological analysis. The implication is some researchs are still needed from this point of view, so the electrofacies role cannot be independent without developing models of the diagenetic process.

Bibliographic Analysis of Aging Anxiety and Lifestyle

AbstractBackgroundWith the recent increase in the older adults population, interest in successful aging is increasing. Aging anxiety, a psychological mechanism that affects successful aging, refers to the inability to feel stable due to worry or fear in old age, which negatively affects the older adult‘s feelings of depression and quality of life. According to a study on successful aging and aging anxiety, it was recently reported that aging anxiety can be prevented by realizing healthy aging through lifestyle intervention. To date, studies analyzing aging anxiety and lifestyle from a macro perspective are insufficient. To compensate for these limitations, bibliographic analysis methods that derive the characteristics of academic literature from bibliographic information are used. Since it is essential to understand research trends from a macroscopic point of view at a time when the need for research on aging anxiety and lifestyle is emphasized, in this study, the flow of research on aging anxiety and lifestyle is identified to prepare basic data for future research.MethodAmong the bibliographic analysis methods, first a citation analysis method that identifies the association based on the number of citations. Second a simultaneous appearance word analysis method that identifies the association based on the number of keywords appeared was used. VOSviewer was used to cluster and chart the analyzed information.ResultThe frequency of published papers by year showed a gradual increase until 2017 and a rapid increase from 2018. In the field of research paper study, research was most actively conducted in the field of psychiatry. In the citation analysis, the United States, Australia, and the United Kingdom showed high correlation with each other, and as a result of conducting simultaneous word analysis on major keywords, words with high association with ‘aging anxiety’ were found to be ‘depression’.ConclusionThis study is meaningful in that it grasped the flow of aging anxiety and lifestyle research from a macroscopic point of view using a bibliographic analysis method. Based on this, it is expected to understand the importance of lifestyle from the preventive point of view of aging and to be used as basic data for intervention and related education.

What Factors Affect Investment Efficiency? A Co-citation Analysis

Nowadays, in the context of a globalized economy, businesses have more and more opportunities to participate in investment projects, especially in developing countries. However, most enterprises, still have a lack of understanding and awareness of the potential and benefits that investment can bring to them, therefore they have been meeting underinvestment or overinvestment problem. How enterprises make investment efficiency decisions is a matter of great concern. The aim of this research is to investigate the factors that affect firm's investment efficiency. A total of 36 investment efficiency research articles from the leading Social Science Citation Index (SSCI) journals were cited. By using methods of citation analysis, statistical analyses including factor analysis, and multi-dimensional scaling, this study identifies four research trends on investment efficiency: financial reporting quality; board gender diversity; ownership structure; and corporate social responsibility (CSR). The findings of this study contribute to providing an overview of factors that influence investment efficiency. The results of this paper not only open more interesting future research topics but also may help policymakers establish effective strategies in investment projects as well as motivate the growth of economics, especially in emerging markets.

Russian economic and sociological journals in Scopus: The impact of publication language on the citation rate

Choosing a publishing model is crucial for an academic journal which aims to increase international visibility, cover a wide readership and strengthen its position in international scientometric databases. The article investigates the publishing models of Russian economic and sociological journals indexed in Scopus. The methodological basis of the study is the general principles of scientometric management. The methods of content analysis and citation analysis were used. The information base covers the data retrieved from the Russian Science Citation Index and international scientometric databases Scopus, Scimago Journal & Country Rank. We propose an approach that helps establish a correlation between Russian articles’ citation rate in the international environment and their publication language. In the course of the study, we analyse 30 journals and carry out a quantitative and qualitative assessment of their citations. The paper provides a typology of publication models and categorises them into nine groups according to the share of English-language articles, their publication frequency and specificity in relation to the Russian-language content. Having analysed the journals’ citation indicators, we identify the models that do not impede the journals’ integration into the international environment and are most effective in achieving high citation rates and reaching a wide international readership. Publishing two Russian and English parallel versions of the same journal is recognized as the best practice. The findings can be of use to research institutions and editorial offices in designing journal promotion strategies and strengthening their positions in international scientometric databases.

Sustainable Tourism Research Progress

In recent years, scientific research on sustainable tourism has attracted wide attention, which has fueled the concomitant need to comprehend the current state of research in sustainable tourism. In order to identify the research status of sustainable tourism and explore the direction for future research, this paper presents a comprehensive bibliometric analysis of 2,184 academic literature related to sustainable tourism. By using five bibliometric methods of citation analysis, co-analysis, co-occurrence analysis, burst detection analysis and timeline view analysis, this paper reviews and analyzes the study of sustainable tourism from three perspectives of performance analysis, collaboration networks analysis and keywords analysis. The popular issues in the current study, future research and limitations are also discussed in this paper. By systematically reviewing the academic literature on sustainable tourism, this paper expands and deepens the knowledge and understanding of relevant topics, and provides guidance and reference for scholars to carry out research on sustainable tourism in the future.

Citation analysis on the research frontiers and evolution of enhanced recovery after surgery

To evaluate the research frontiers and evolution laws in the field of enhanced recovery after surgery (ERAS) and to predict the next direction of development. In recent years, the clinical applications of ERAS have been widely recognized by the medical community. Nursing work is present throughout the entire process, and nurses not only play a role in multidisciplinary coordination but also maintain independent professional characteristics. The citation analysis method was used to analyse the research documents in the Web of Science database over the last 10 years. The number of documents in the field published from 2011 to 2020 increased annually. The application in colorectal surgery was the most important research frontier. From 2016 to 2020, the research frontiers were diversified. The application in colorectal surgery remains the most important research frontier, and perioperative nursing will play an important role in the future. This study used citation analysis to analyse the research frontiers and evolution of ERAS in the last 10 years. This research will help nursing managers to carry out research and clinical promotion plans in the ERAS field and guide the transformation of scientific research achievements into nursing practice.

Bibliographic coupling and types of centralities: A review of ASME journals - 2000 to 2020

The present study deals with one of the three primary citation analysis methods, i.e., bibliographic coupling. It is believed that the two with the more common references are more related and have similar research interests. The study examined the author’s bibliographic coupling structure with the help of network analysis metrics and found a stronger association between the authors who contributed to the ASME journals. The analysis was conducted at the global level and the local level. In the global level analysis, the bibliographic coupling network analysed by the metrics like average degree, average weighted degree, the diameter of the network, average shortest path length, modularity, and average clustering coefficient. The local level analysis deals with cluster wise analysis to find dominant authors with the most bibliographical coupling strength. The top 50 bibliographically coupled authors represented in the study. Different types of centralities are used to retrieve different aspects and roles of authors in bibliographic coupling. Han, Je-Chin has found the highest bibliographic coupling strength with 53789 total link strengths. Zhu, Hui-Ren is the author who influences other authors in bibliographic coupling relation as his closeness centrality is 1.00. Li, Wei is the most prominent author who helps to expand the bibliographical coupling relation as his betweenness centrality is 13008.13. The study shows an individual network of the top ten bibliographically coupled authors and their coupling relation with others.

Selection of tools/ criteria for measuring the level of Leanness

Companies have failed to implement Lean. One of the suggestions for solutions is to conduct an assessment of the current Lean application of the enterprise. Lean tools/criteria are diverse, and empirical studies which have applied one of these tools/criteria however are yet based on subjective viewpoints, which leads to a different result, and assessment results may not be accurate. The purpose of this study is to propose a lean measurement tool(s)/criterion that ensures reliability and is (are) widely recognized at an acceptable level. This study uses Scopus and Web of Science databases to synthesize data and compare it to AJG 2021 journal classification. In addition, with the research combining the citation analysis method, using the artificial intelligence analysis tool to analyze, based on this method, hopefully, the results confirm whether the selected set of assessment tools/criteria is rejected or accepted by the scientific community. Research results show that tools/criteria to evaluate leanness currently tend to be applied for manufacturing enterprises. There has been yet no specific measuring tool/criteria for service businesses, and they do not reach perfection. From the obtained results, at present, this study suggests two assessment tools/criteria: one for high-tech manufacturing enterprises; one for the other manufacturing industries.

BIBLIOMETRIC ANALYSIS OF DISSERTATION RESEARCH IN MANAGEMENT

The purpose of this exploratory and descriptive research is to evaluate a representative sample of reference lists of the selected dissertation research in the field of Management in Pakistan by using descriptive citation analysis methods, citation patterns and citation evaluation on a modified, validated objective Tunon & Brydges rubric. Furthermore, the sample was divided into two lusters to compare mean impact factors of reference lists of two lusters to see if quality of dissertations in Management in general is improving over time. Another comparison is made to see how does the quality of theses completed at public universities fare in comparison to the quality of theses completed at private universities. The findings of the research show that PhD theses in the field of Management appear to have been improving in terms of quality as total mean impact factor of the theses completed in second luster (2013-2017) was statistically speaking significantly different from that of the first luster (2008-2012). However, no statistically significant difference was noted between total impact factor mean of public universities’ reference lists, when it was compared to that of private universities; allowing the researcher to conclude though quality of PhD thesis have been improving for the 10-year period studied, however there was no qualitative difference between theses completed at private universities and those which were completed at the public universities.