• Title/Summary/Keyword: Citation based author analysis

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Citation analysis in the field of electrical and electronics engineering in Korea (한국 전기 . 전자공학 분야의 인용 분석 연구)

  • 이해영
    • Journal of the Korean Society for information Management
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    • v.11 no.1
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    • pp.57-79
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    • 1994
  • This study investgated citation pattems of publication by researchers in eledncal and electronics engineering in Korea. As sources to derive citation$ Koran Peridcals Index (KPI) and the INSPEC database were seleded, and some 235 articles indexed in KPI and 189 arbcles indexed in INSPEC yielded 3,414 citations. It Identhd the citation behavior of researchers in the field, compared citabn behavior by author affhation (government, universities, and industry/cnmprues), and compared the catation patterns exhibited by articles taken from Kroean and non- Korean publications. Based on the fin-, it was concluded that the citation analysis results could ydd helpful information for the provision of library and information center services and collection development. It a h provided recommendation for the mformation senrim in the field of electrical and electronics engineering.

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A Study on the Factors Influencing Citation Speed and Citation Frequency of Scientific Articles Using Bibliometric Analysis in South Korea (한국 과학기술 논문의 인용속도 및 인용빈도에 영향을 미치는 서지 요인에 관한 연구)

  • Kim, Wan-Jong
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.4
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    • pp.285-309
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    • 2012
  • The purpose of this study is to analyze whether bibliographic factors influence citation speed and the number of citations or not and whether citation speed affects the number of citations. Another purpose of this study is that if bibliographic factors carry out a significant role. For this analysis, this study is based on the assumption that all papers published by researchers in South Korea distributed power law shape. The main results of this study are as follows: First, the papers written by foreign first authors or reprint authors were cited more quickly from first citation speed and average citation speed. These papers were cited much more from first citation speed and average citation speed than by domestic first authors or reprint authors. The papers, collaborated by international researchers, were cited more quickly from first citation speed but were not different from average citation speed than by only domestic researchers. The papers, collaborated by international researchers, were cited much more than by only domestic stand-alone researchers. The number of authors and the impact factor influenced first citation speed, average citation speed and the number of citations. Second, the faster first citation speed and the slower average citation speed, the more papers were cited. First citation speed more affected the higher number of citations than the average citation speed. Third, all five bibliographic factors influenced the impact relationship from first citation speed to the number of citations through the moderating effect analysis. Fourth, only three bibliographic factors (the country of the first author; the country of the reprint author; the number of the coauthors) affected the impact relationship from first citation speed to the number of citations but two bibliographic factors did not influence through the moderating effect analysis.

A Comparative Bibliometric Analysis of Substance Use Disorder Research in Social Science, Natural Science and Technology, and Multidisciplinary Field (사회과학, 자연과학기술 및 융복합 분야의 약물중독 연구에 대한 계량서지학적 비교 분석 연구)

  • Nam, Dongin;Park, Ji-Hong
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.203-232
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    • 2022
  • Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.

A Study on Categorizing Researcher Types Considering the Characteristics of Research Collaboration (공동연구 특성을 고려한 연구자 유형 구분에 대한 연구)

  • Jae Yun Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.2
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    • pp.59-80
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    • 2023
  • Traditional models for categorizing researcher types have mostly utilized research output metrics. This study proposes a new model that classifies researchers based on the characteristics of research collaboration. The model uses only research collaboration indicators and does not rely on citation data, taking into account that citation impact is related to collaborative research. The model categorizes researchers into four types based on their collaborative research pattern and scope: Sparse & Wide (SW) type, Dense & Wide (DW) type, Dense & Narrow (DN) type, Sparse & Narrow (SN) type. When applied to the quantum metrology field, the proposed model was statistically verified to show differences in citation indicators and co-author network indicators according to the classified researcher types. The proposed researcher type classification model does not require citation information. Therefore, it is expected to be widely used in research management policies and research support services.

A Study on a Conceptual Taxonomy of Author Keywords of Humanities, Social Sciences, and Art and Sport in the Korea Citation Index (KCI) by Analysis of its Meaning and Lexical Morpheme (한국학술지인용색인(KCI)의 인문학, 사회과학, 예술체육 분야 저자키워드의 의미적, 형태적 분석에 의한 개념범주 텍사노미 연구)

  • Ko, Young Man;Kim, Bee-Yeon;Min, Hye-Ryoung
    • Journal of the Korean Society for Library and Information Science
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    • v.48 no.4
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    • pp.297-322
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    • 2014
  • The purpose of this study is to analyse the meaning and lexical morpheme of author keywords of humanities, social sciences, and art and sport in the Korea Ciation Index (KCI) and to propose a conceptual taxonomy of the author keywords. Four top-level concept categories such as 'Substance, Abstraction, General/Common, and Object' are replaced by seven more concrete categories such as 'object, action/function, property, theory/method, format/framework, general/common, and Instance'. In the middle and lower-level concept categories, the hierarchical structure is simplified and the unbalance of term distribution is reduced by creating, subdivision, integration, elimination, and movement of the categories. The result of the test based on the STNet shows that the replaced taxonomy of concept categories has the effects of making the term allocation more balanced and properties of terms more detailed.

Analysis of Research Papers Published in the Korean Journal of Clinical Laboratory Science from 1985 to 2012

  • Koo, Bon Kyung
    • Korean Journal of Clinical Laboratory Science
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    • v.45 no.4
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    • pp.180-187
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    • 2013
  • The author surveyed and analyzed the research papers of korean journal of clinical laboratory science (KJCLS) that have been posted for 28 years from 17 volumes in 1985 to 44 volumes in 2012 in the time of 50th anniversary of foundation of the korean association of medical technologists (KAMT) of in 2012. This study is aimed to provide members with basic materials helpful to research development and suggest development measures of journal. The author analyzed the number of papers, research field, type of papers, and number of authors based on the title of paper. The total number of papers is 916 and average number of paper is 33. The research field was biochemistry 167 (18.2%), microbiology 160 (17.4%), histology & cytology 99 (10.8%), molecular genetics 77 (8.5%), hematology 69 (7.5%), physiologic function 64 (7.0%), immunology 60 (6.5%), blood bank 33 (3.6%), radioimmunoassay 33 (3.6%), parasitology 27 (2.9%), quality control 18 (2.0%), urinalysis & body fluid 13 (1.4%), cytogenetics 12 (1.3%), flow cytometry analysis 6 (0.7%), and other articles were 78 (8.5%). Regarding the type of papers, original article was 777 (84.8%), case report 52 (5.7%), review 23 (2.5%), others 64 (7.0%). Regarding the number of paper authors, single author was 208 (22.7%), 2-man joint authors 178 (19.4%), 3-man joint authors 181 (19.8%), 4-man joint authors 151 (16.5%), over-5-man joint authors 198 (21.6%). The average number of papers was 33 for 28 years from 1985 to 2012, it is fewer than number of technologists and professors working currently regardless of the level of quantity and quality. The KAMT needs paper promoting measures and strategic investment on the scholarly journals that can aggressively promote to members and inspire research desire for korea citation index (KCI) registered article selection of KJCLS in the future.

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Study on Readers about Library and Information Science Fields' Articles by Analyzing Mendeley (Mendeley를 통한 문헌정보학 주요 분야 연구 논문의 독자 분석)

  • Cho, Jane
    • Journal of Korean Library and Information Science Society
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    • v.48 no.1
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    • pp.77-97
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    • 2017
  • With reference management tool based on web, we could understand not only impact about non-author, such as hand-on worker, educator, who are out of academia, but also trace the subject fields of readers and their status. This study by analyzing mendeley, understand what kinds of subject fields and status of readers read library and information science field articles. As a result of analyzing the status and the major of the reader, readers were distributed in the fields of business administration, education and so on, and according to the reader's major, there was a significant difference (p = .000) between the subject area of relatively read a lot. By the way, as the result of relational analysis between citation rate and numbers of mendeley readership about medeley saved articles, correlation coefficient shows 0.585, however as the result of relational analysis limiting the groups, in case of author group who tends to read the articles for citing, correlation coefficient shows 0.619. On the other hand, non-author group shows 0.384.

An Investigation on Characteristics and Intellectual Structure of Sociology by Analyzing Cited Data (사회학 분야의 연구데이터 특성과 지적구조 규명에 관한 연구)

  • Choi, Hyung Wook;Chung, EunKyung
    • Journal of the Korean Society for information Management
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    • v.34 no.3
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    • pp.109-124
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    • 2017
  • Through a wide variety of disciplines, practices on data access and re-use have been increased recently. In fact, there has been an emerging phenomenon that researchers tend to use the data sets produced by other researchers and give scholarly credit as citation. With respect to this practice, in 2012, Thomson Reuters launched Data Citation Index (DCI). With the DCI, citation to research data published by researchers are collected and analyzed in a similar way for citation to journal articles. The purpose of this study is to identify the characteristics and intellectual structure of sociology field based on research data, which is one of actively data-citing fields. To accomplish this purpose, two data sets were collected and analyzed. First, from DCI, a total of 8,365 data were collected in the field of sociology. Second, a total of 12,132 data were collected from Web of Science with a topic search with 'Sociology'. As a result of the co-word analysis of author provided-keywords for both data sets, the intellectual structure of research data-based sociology was composed of two areas and 15 clusters and that of article-based sociology was composed with three areas and 17 clusters. More importantly, medical science area was found to be actively studied in research data-based sociology and public health and psychology are identified to be central areas from data citation.

Contemporary research trends on nanoparticles in endodontics: a bibliometric and scientometric analysis of the top 100 most-cited articles

  • Sila Nur Usta ;Zeliha Ugur-Aydin ;Kadriye Demirkaya;Cumhur Aydin
    • Restorative Dentistry and Endodontics
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    • v.48 no.3
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    • pp.27.1-27.11
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    • 2023
  • Objectives: Advancements in nanotechnology have led to the widespread usage of nanoparticles in the endodontic field. This bibliometric study aimed to determine and analyze the top 100 most-cited articles about nanoparticles in endodontics from 2000 to 2022. Materials and Methods: A detailed electronic search was conducted on the "Clarivate Analytics Web of Science, All Databases" to receive the most-cited articles related to the topic. Articles were ranked in descending order based on their citation counts, and the first 100 were selected for bibliometric analysis. Parameters such as citation density, publication year, journal, country, institution, author, study design, study field, evidence level, and keywords were analyzed. Results: The top 100 most-cited articles received 4,698 citations (16-271) with 970.21 (1.91-181) citation density in total. Among decades, citations were significantly higher in 2011-2022 (p < 0.001). Journal of Endodontics had the largest number of publications. Canada and the University of Toronto made the highest contribution as country and institution, respectively. Anil Kishen was the 1 who participated in the largest number of articles. The majority of the articles were designed in vitro. The main study field was "antibacterial effect." Among keywords, "nanoparticles" followed by "Enterococcus faecalis" were used more frequently. Conclusions: Developments in nanotechnology had an impact on the increasing number of studies in recent years. This bibliometric study provides a comprehensive view of nanoparticle advances and trends using citation analysis.

Entitymetrics Analysis of the Research Works of Dong-ju Yun using Textmining (텍스트마이닝을 이용한 윤동주 연구의 개체계량학적 분석)

  • Park, Jinkyeun;Kim, Taekyoun;Song, Min
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.28 no.1
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    • pp.191-207
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    • 2017
  • This paper employs entitymetrics analysis on the research works of Dong-ju Yun. He was a Korean poet who was studied by many researchers on his works, religion and life. We collected 1,076 papers about Dong-ju Yun and conducted various approaches including co-author citation analysis, topic modeling analysis to identify the topic trend in the study of Dong-ju Yun. Also we extracted entities like person's name and literature's title from abstract to examine the relationship among them. The result of this paper enables us to objectively identify the topic trend and infer implicit relationships between key concept associated with Dong-ju Yun based on text data. Moreover, we observed sub-research topics such as life, poem, aesthetic existence, comparative literature, literary translation, and religious beliefs. This paper shows how entitymetrics can be utilized to study intellectual structures in the humanities.