• Title/Summary/Keyword: Scientometric

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Scientometric Analysis for Biodiesel (바이오디젤 학술 정보분석)

  • Noh, Kyung-Ran;Kil, Sang-Cheol;Oh, Mihn-Soo
    • Economic and Environmental Geology
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    • v.46 no.6
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    • pp.593-602
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    • 2013
  • Biodiesel is an important new alternative transportation fuel and it can be produced by chemically reacting a fat or oil with an alcohol, in the presence of a catalyst. The product of the reaction is a mixture of methyl esters, which are known as biodiesel, and glycerol, which is a high value co-product. The process is known as transesterification. Biodiesel can be used neat and when used as a pure fuel it is known as BD100. However, it is often blended with petroleum-based diesel fuel and when this is done the blend is designated BD5 or BD20(BD20 is a blend of 20% biodiesel and 80% petroleum diesel fuel). Adherence to a quality standard is essential for proper performance of the fuel in the engine and will be necessary for widespread use of biodiesel. In this study, we analyzed 4,144 papers of biodiesel by category, country, institution, keyword etc. from 2001 to 2013 years.

Evaluating Publication Productivity of Korean IS Researchers in Leading IS Journals, 2007~2009 (선도 IS 저널에 출판된 한국 IS 연구자의 연구실적 측정: 2007년부터 2009년까지)

  • Lim, Se-Hun;Min, Koung-Huy
    • Information Systems Review
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    • v.13 no.2
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    • pp.73-87
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    • 2011
  • This study measures the research productivity of IS researchers in South Korea. In this study, we select 11 leading IS journals, those are MIS Quarterly(MISQ). Information Systems Research(ISR), Journal of Management Information Systems(JMIS), Journal of the Association for Information Systems(JAIS), European Journal of Information Systems(EJIS), Information Systems Journal(ISJ), Decision Support Systems(DSS). Communications of the Association for Information Systems(CAIS), Information and Management(I&M), Journal of Strategy Information Systems(JSIS), and Journal of Information Technology(JIT). We analyzed the published articles of IS researchers in South Korea between 2007 and 2009 using scientometric techniques for measuring research productivity. The findings of this study provide evidences that IS research productivity has become a comprehensive information to business tool to assist advertizing of electing student of IS department and university, and take a person into IS professor in the IS job market. IS productivity research on Korean IS researcher rarely showed. The unique study showed valuable contributions for academicians to provide a better comprehension of publishing trend of leading IS journals.

Hydrogen production using high temperature reactors: an overview

  • Deokattey, Sangeeta;Bhanumurthy, K.;Vijayan, P.K.;Dulera, I.V.
    • Advances in Energy Research
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    • v.1 no.1
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    • pp.13-33
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    • 2013
  • The present work is an attempt to provide an overview, about the status of R&D and current trends in Hydrogen Production using High Temperature Reactors. Bibliographic references from the INIS database, the Science Direct database and the NTIS database were downloaded and analyzed. Ten year data on the subject, published between 2001 and 2010, was selected for the study. Appropriate qued ry formulations on these databases, resulted in the retrieval of 621 unique bibliographic records. Using the content analysis method, all the records were analyzed. Part One of the analysis details Scientometric R&D indicators, Part Two is a subject-based analysis, grouped under: A. International Initiatives and Programmes for Hydrogen Production; B. European R&D initiatives for Hydrogen production; C. National Initiatives and Programmes for Nuclear Hydrogen Production; D. Reactor Technologies for Nuclear Hydrogen production; E. Fuel Developments; F. Hydrogen Production Processes using HTRs and G. Materials Consideration for Nuclear Hydrogen Production. The results of this analysis are summarized in the study.

IoT Industry & Security Technology Trends

  • Park, Se-Hwan;Park, Jong-Kyu
    • International journal of advanced smart convergence
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    • v.5 no.3
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    • pp.27-31
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    • 2016
  • High-tech industries in a state well enough to troubleshoot hacking information introduction a big barrier to delay the growth of the market related to IoT(Internet of Things) as is likely to be on the rise. This early on, security issues introduced in the solution, a comprehensive solution, including the institutional laws/precautions needed. Recent examples of frequent security threats while IoT is the biggest issue of introducing state-of-the-art industry information due to the vulnerable security hacking. This high-tech industries in order to bridge the information responsible for the target attribute, target range, and the protection of security and how to protect the subject, IoT environment (domestic industrial environment) considering the approach is needed. IoTs with health care and a wide variety of services, such as wearable devices emerge. This ensures that RFID/USN-based P2P/P2M/M2M connection is the implementation of the community. In this study, the issue on the high-tech industrial information and the vulnerable security issues of IoT are described.

Dynamic Analysis via Keyword Mapping for Internet of Things (사물 인터넷에 대한 키워드 매핑을 통한 동태적 분석)

  • Shon, Young-Woo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.7
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    • pp.813-818
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    • 2015
  • IoT is the network of physical objects or things embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator or other connected devices. Until now many researches have been studied for centering keyword for detecting emerging technology of future and scientometric analysis among the papers. This paper propose searching method of emerging technology for the IOT (internet of things) which is recently interesting area via dynamic analysis for keyword mapping.

Personal Sentiment Analysis and Opinion Mining (개인감정분석과 마이닝)

  • Lee, Hyun Chang;Shin, Seong Yoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.07a
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    • pp.344-345
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    • 2017
  • Opinion mining and sentiment analysis(OMSA) as a research discipline has emerged during last 15 years and provides a methodology to computationally process the unstructured data mainly to extract opinions and identify their sentiments. The relatively new but fast growing research discipline has changed a lot during these years. This paper presents a scientometric analysis of research work done on OMSA during 2007-2016. For the literature analysis, research publications indexed in Web of Science (WoS) database are used as input data. The publication data is analyzed computationally to identify year-wise publication pattern, rate of growth of publications, research areas.

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h-index, h-type Indices, and the Role of Corrected Quality Ratio

  • Tahira, Muzammil;Alias, Rose Alinda;Bakri, Arayti;Shabri, Ani
    • Journal of Information Science Theory and Practice
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    • v.2 no.4
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    • pp.20-30
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    • 2014
  • This study examines the foremost concerns related to most noted research performance index. The most popular and widely acceptable h-index underestimates the highly visible scientist, the middle order group, due to citation distribution issues. The study addresses this issue and uses 'Corrected Quality Ratio' (CQ) to check the implicit underpinnings as evident in h-index. CQ helps to incorporate the aspects of a good research performance indicator. This simple revision performs more intimately and logically to gauge the broader research impact for all groups and highly visible scientists with less statistical error.

Exploratory Analysis of Platform Government Research (플랫폼 정부 연구의 탐색적 분석)

  • Shin, Sun-Young;Suh, Chang-Kyo
    • The Journal of Information Systems
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    • v.29 no.1
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    • pp.159-179
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    • 2020
  • Purpose: We present a scientometric review of the literature on platform government to serve three primary purposes: First, to cluster researches on platform government based on the research issues; second, to identify the major papers, authors, and keywords in the domain; and third, to explore the promising research areas of platform government. Design/methodology/approach: We collected the platform government research from Web of Science, and analyzed 1,536 articles that was published during time span of 1998-2019. Next, co-citation networks are constructed and analyzed by using CiteSpace to visualize the domain clusters and dynamic research trends in the platform government domain. Findings: We identified 13 sub areas of the platform government research: global investigation, consumer product quality, digital agora, civic crowd funding, and open data use etc. We also visualize the top 20 references with the strongest citation bursts, co-authors network, co-occurring keyword network, and timeline of co-citation clusters.

Publication Trends and Citation Impact of Tribology Research in India: A Scientometric Study

  • Rajendran, P.;Elango, B.;Manickaraj, J.
    • Journal of Information Science Theory and Practice
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    • v.2 no.1
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    • pp.22-34
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    • 2014
  • This paper analyzes India's contribution to world tribology research during the period 2001-2012 based on SCOPUS records. India's global publication share, annual output, and its citation impact of Indian contribution, partner countries, leading contributors, leading institutes, and highly cited papers were analyzed. Additionally, a cloud technique is used to map frequently used single words in titles. It is observed that India ranks in the $7^{th}$ position with a global publication share of 3.83% and an annual average growth rate of 25.58% during the period 2001-2012. The citation impact of India's contribution is 6.05 which decreased from 12.74 during 2001-2006 to 4.62 during 2007-2012. 17.4% of India's total research output was published with international collaboration.

An exploration of the collaborative topic analysis adopting a spatial scientometric approach in Korean LIS researches (국내 문헌정보학분야 학술지의 협업 주제 분석을 위한 지리적 접근에 대한 실험적 연구)

  • Jeong, Yoo Kyung
    • Proceedings of the Korean Society for Information Management Conference
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    • 2017.08a
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    • pp.19-22
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    • 2017
  • 본 연구는 국내 문헌정보학 분야 학술지를 대상으로 협업 특성과 연구주제를 파악하기 위해 지리적인 측면에서 기관들의 공동연구 특성을 살펴보았다. 기존의 협업 특성을 분석한 연구들은 공저 네트워크의 속성이나 연구자들의 연구생산성, 소속기관 및 국가 비교 등 통계적 측면에 초점을 맞추어 분석을 수행해왔다. 본 연구는 기존 연구에서 주된 분석수단으로 사용해 온 통계적 분석 외에 연구자의 협업 연구주제와 연구자가 속한 기관 및 지역정보를 활용하여 협업 패턴을 파악하도록 하였다. 연구자가 속한 기관들 간의 협업 네트워크를 지리적인 관점에서 연구주제와 함께 직관적으로 파악할 수 있다는 장점이 있다.

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