• Journal of Korea Technology Innovation Society
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• v.8 no.1
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• pp.261-276
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• 2005

Peer review is a well-known, pervasive and most reliable method for assessment of research proposals. But with the strength of peer review, it also has some various limitations and shortcomings. This study suggests the use of bibliometric indicators as a counterbalance of shortcomings and mistakes in peer review. Bibliometric indicators suggested in this study are somewhat different from the conventional ones. Bibliometric indicators with limited number of papers, use of impact factor and discrimination first and corresponding authors from co-authors may produce a more resonable indicators. In this way bibliometric indicators can be considered as complementary to a peer review.

• Genomics & Informatics
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• v.20 no.1
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• pp.10.1-10.15
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• 2022

Human exposure to pollutants has been on the rise. Thus, researchers have been focused on understanding the effect of these compounds on human health, especially on the genetic information by using various tests, among them the somatic mutation and recombination tests (SMARTs). It is a sensitive and accurate method applicable to genotoxicity analysis. Here, a comprehensive bibliometric analysis of SMART assays in genotoxicity studies was performed to assess publication trends of this field. Data were extracted from the Web of Science database and analyzed by the bibliometric tools HistCite, Biblioshiny (RStudio), VOSViewer, and CiteSpace. Results have shown an increase in the last 10 years in terms of publication. A total of 392 records were published in 96 sources mainly from Brazil, Spain, and Turkey. Research collaboration networks between countries and authors were performed. Based on document co-citation, five large research clusters were identified and analyzed. The youngest research frontier emphasized on nanoparticles. With this study, how research trends evolve over years was demonstrated. Thus, international collaboration could be enhanced, and a promising field could be developed.

• Smart Structures and Systems
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• v.29 no.2
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• pp.361-374
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• 2022

As civil infrastructure has continued to age worldwide, its structural integrity has been threatened owing to material deteriorations and continual loadings from the external environment. Structural Health Monitoring (SHM) has emerged as a cost-efficient method for ensuring structural safety and durability. As SHM research has gradually addressed an increasing number of structure-related problems, it has become difficult to understand the changing research topic trends. Although previous review papers have analyzed research trends on specific SHM topics, these studies have faced challenges in providing (1) consistent insights regarding macroscopic SHM research trends, (2) empirical evidence for research topic changes in overall SHM fields, and (3) methodological validations for the insights. To overcome these challenges, this study proposes a framework tailored to capturing the trends of research topics in SHM through a bibliometric and network analysis. The framework is applied to track SHM research topics over 15 years by identifying both quantitative and relational changes in the author keywords provided from representative SHM journals. The results of this study confirm that overall SHM research has become diversified and multi-disciplinary. Especially, the rapidly growing research topics are tightly related to applying machine learning and computer vision techniques to solve SHM-related issues. In addition, the research topic network indicates that damage detection and vibration control have been both steadily and actively studied in SHM research.

• Korean Journal of Acupuncture
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• v.37 no.2
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• pp.76-87
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• 2020

Objectives : Bee venom has been widely practiced in many countries around the world. The number of clinical trials and biochemical researches on bee venom has been constantly increasing. The objective of this study is to analyze the trend of research on bee venom using bibliometric approach, a quantitative analytical method. Methods : We searched articles about bee venom which were published from 2000 to 2019 from Web of Science Database. Original and review articles published in English were included and data were extracted in terms of publication year, country, journal, keywords, organizations, and authors. Trends in bee venom research were visualized using VOSviewer program. Results : 1,547 English articles about bee venom were identified and analyzed. South Korea is a main hub in the field of bee venom research. Research organizations in South Korea showed high link strength with domestic organizations as well as with international organizations. A keyword analysis showed the following three major types of studies: studies on components of bee venom, studies on allergy and immune response, and clinical research of bee venom therapy. Conclusions : This study provides a macroscopic overview of the research on bee venom. This bibliometric analysis has identified influential authors and organizations in the field on bee venom research and provides a useful guideline to researchers who are in search of contributory research topics.

• Asian Journal of Innovation and Policy
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• v.5 no.3
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• pp.251-274
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• 2016

Practical methodology for categorizing collaborative disciplines or research in a quantitative manner is presented by developing a Correlation Matrix of Major Disciplines (CMMD) using bibliometric data collected between 2009 and 2014. First, 21 major disciplines in science and engineering are defined based on journal publication frequency. Second, major disciplines using a comparing discipline correlation matrix is created and correlation score using CMMD is calculated based on an analyzer function that is given to the matrix elements. Third, a correlation between the major disciplines and 14 research fields using CMMD is calculated for validation. Collaborative researches are classified into three groups by partially accepting the definition of pluri-discipline from peer review manual, European Science Foundation, inner-discipline, inter-discipline and cross-discipline. Applying simple categorization criteria identifies three groups of collaborative research and also those results can be visualized. Overall, the proposed methodology supports the categorization for each research field.

• Journal of Information Science Theory and Practice
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• v.6 no.3
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• pp.45-60
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• 2018

Research performance evaluation in Korean universities follows strict guidelines that specify scoring systems for publication venue categories and formulas for co-authorship credit allocation. To find out how the standards differ across universities and how they differ from bibliometric research evaluation measures, this study analyzed 25 standards from major Korean universities and rankings produced by applying standards and bibliometric measures such as publication and citation counts, normalized impact score, and h-index to the publication data of 195 tenure-track professors of library and information science departments in 35 Korean universities. The study also introduced a novel impact score normalization method to refine the methodology from prior studies. The results showed the university standards to be mostly similar to one another but quite different from citation-driven measures, which suggests the standards are not quite successful in quantifying the quality of research as originally intended.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.161-176
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• 2013

The outcomes of entrepreneurship studies have been tried to help the entrepreneurs in start-up stages, but the outcomes of the entrepreneurship research are not fully utilized to guide the activities of the entrepreneurs in start-up businesses. To utilize the outcomes of entrepreneurship research for helping entrepreneurs effectively, an entrepreneurship ontology, a systemized specification of the knowledge in the entrepreneurship research, has to be established, Based on the entrepreneurship ontology, the knowledge of entrepreneurial processes can be illustrated, and a diagnosis and coaching system for the entrepreneurs can be built effectively. To establish an entrepreneurship ontology, this study investigates the intellectual structure of entrepreneurship studies by analyzing the contents of top journals in entrepreneurship field, and identifies the relationship among the key concepts through bibliometric analyses based on entrepreneurship corpus, This study suggests a method of establishing entrepreneurship ontology and utilization of the ontology. Through utilization of the entrepreneurship ontology, it is expected to explain the entrepreneurial processes effectively and to improve the rate of business success.

• Journal of the Ergonomics Society of Korea
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• v.34 no.5
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• pp.377-399
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• 2015

Objective: The aim of this study is to understand and identify the critical issues in vision research area using content analysis and network analysis. Background: Vision, the most influential factor in information processing, has been studied in a wide range of area. As studies on vision are dispersed across a broad area of research and the number of published researches is ever increasing, a bibliometric analysis towards literature would assist researchers in understanding and identifying critical issues in their research. Method: In this study, content and network analysis were applied on the meta-data of literatures collected using three search keywords: 'visual search', 'eye movement', and 'eye tracking'. Results: Content analysis focuses on extracting meaningful information from the text, deducting seven categories of research area; 'stimuli and task', 'condition', 'measures', 'participants', 'eye movement behavior', 'biological system', and 'cognitive process'. Network analysis extracts relational aspect of research areas, presenting characteristics of sub-groups identified by community detection algorithm. Conclusion: Using these methods, studies on vision were quantitatively analyzed and the results helped understand the overall relation between concepts and keywords. Application: The results of this study suggests that the use of content and network analysis helps identifying not only trends of specific research areas but also the relational aspects of each research issue while minimizing researchers' bias. Moreover, the investigated structural relationship would help identify the interrelated subjects from a macroscopic view.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.1
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• pp.39-52
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• 2021

The global water shortage is getting more attention by global climate change. And water demand rapidly increases due to industrialization and population growth. Desalination technology is being expected as an alternative water supply method. Desalination technology requires low energy or maintenance costs, making it a competible next generation technology, with examples such as forward osmosis (FO), membrane distillation (MD), capacitive deionization (CDI), and electrodialysis (ED) to compete with reverse osmosis (RO). In order to identify recent research trends in desalination technologies (FO, MD, RO, CDI, and ED) between 2000-2020, a bibliometric analysis was conducted in the current study. The number of published papers in desalination technology have increased in Desalination and Journal of Membrane Science mainly. Moreover, it was found that FO, MD, RO, CDI, and ED technologies have been applied in various research areas including electrochemical, food processing and carbon-based material synthesis. Recent research topics according to the desalination technologies were also identified.

• The Journal of Fisheries Business Administration
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• v.48 no.4
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• pp.27-43
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• 2017

The major purpose of this study is to find and analyze the characteristics of Fisheries Business Administration Research based on using social network analysis. This study examines every paper of The Journal of Fisheries Business Administration from 2007 to 2016. This study analyzes fisheries business administration research through bibliometric data including research trends, researcher characteristics, and key words. The 229 source articles are all papers published from 2007 to 2016 in The Journal of Fisheries Business Administration in Korea. Comparing with previous research, the major research areas of Korean fisheries business administration have a little changed and the topics of recent research are much diversified. Through basically based on frequency analysis and SNA(Social Network Analysis) method, most of the bibliographical characteristics were founded. And based on the result of this study showed that 1) increasement on number of researcher and organization 2) climate change and economic related topics are most popular terms 3) DEA is most adopted methodology in recent papers 4) joint research among the organizations has somewhat been increased 5) human resource management, history of fisheries management and education still have been conducted in terms of sustainability.