本文对国际科学计量学杂志《Ｓｃｉｅｎｔｏｍｅｔｒｉｃｓ》１９７９－１９９１年的研究论文内容、栏目、作者及国别和编委及国别作了计量分析，揭示出科学计量学研究的重点、活动的中心及发展趋势，说明了学科带头人在发展科学计量学这门新兴学科中的作用。

国际刊物《Scientometrics》文献计量研究

How to write and publish a scientific paper

This paper presents an in-depth analysis toward understanding the business value components an organization can derive from adopting radio frequency identification (RFID). Although this subject is currently a hot topic, many organizations are slow in warming up to the idea of using RFID to conduct more effective and efficient business processes. We propose a framework for evaluating the business value of RFID technology, hoping that a better understanding of the business value of RFID will encourage more organizations to implement it. Emphasis is on delivering business value through refining business processes and expanding the business model. We illustrate these concepts drawing on the experience of five early adopters from the Taiwan healthcare industry and formulate this framework as a set of propositions based on relevant literature, cases from pioneers in the field and our intuition. These propositions will need to be validated through empirical evidence. r 2007 Elsevier B.V. All rights reserved.

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Evaluating the business value of RFID: Evidence from five case studies

Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the Literature

The number of devices connected to the Internet of Things (IoT) by the year 2020 may be as high as 75 billion. Long before that, big data analytics will be needed to make use of the data generated by the Internet of Things. While the technical issues needed to create the Internet of Things are substantial, little attention has been given to the behavioral, organizational and business issues that are necessary for a better understanding of the adoption, usage and impact of the IoT. We propose a framework based on the idea that this technology will evolve from monitored "Things", to "Networks of Things", and ultimately to an "Internet of Things". Each of these instantiations of the technology raises adoption, usage and impact issues that can be scrutinized at four levels of analysis: individual, organization, industry, and society. We apply the framework to propose research questions that need to be addressed by researchers.

Research Directions on the Adoption, Usage, and Impact of the Internet of Things through the Use of Big Data Analytics

Radio frequency identification (RFID) is one of the most influential technologies of the twenty-first century. Today, RFID technology is being applied in a wide array of disciplines in science research and industrial projects. The significant impact of RFID is clearly visible by the rate of academic publications in the last few years. This article surveys the literature to evaluate the trend of RFID technology development based on academic publications from 2001 to 2014. Both bibliometric and content analyses are applied to examine this topic in SCI-Index and SSCI-Index documents. Based on the bibliometric technique, all 5159 existing RFID documents are investigated and several important factors are reviewed, including contributions by country, organizations, funding agencies, journal title, authors, research area and Web of Science category. Moreover, content analysis is applied to the top 100 most cited documents and based on their contents, these top 100 documents are classified into four different categories with each category divided in several sub-categories. This research aims to identify the best source of the most cited RFID papers and to provide a comprehensive road map for the future research and development in the field of RFID technology in both academic and industrial settings. Six key findings from this review are (1) the experimental method is the most popular research methodology, (2) RFID research has been a hot area of investigation but will branch out into related subset areas, (3) South East Asia is positioned to dominate this research space, (4) the focus of research up to now has been on technical issues rather than business and management issues, (5) research on RFID application domains will spread beyond supply chain and health care to a number of different areas, and (6) more research will be related to policy issues such as security and privacy.

/pdf/evaluating-the-academic-trend-of-rfid-technology-based-on-b417v4ojku.pdf

Evaluating the academic trend of RFID technology based on SCI and SSCI publications from 2001 to 2014

This paper discusses plagiarism origins, and the ethical solutions to prevent it. It also reviews some unethical approaches, which may be used to decrease the plagiarism rate in academic writings. We propose eight ethical techniques to avoid unconscious and accidental plagiarism in manuscripts without using online systems such as Turnitin and/or iThenticate for cross checking and plagiarism detection. The efficiency of the proposed techniques is evaluated on five different texts using students individually. After application of the techniques on the texts, they were checked by Turnitin to produce the plagiarism and similarity report. At the end, the “effective factor” of each method has been compared with each other; and the best result went to a hybrid combination of all techniques to avoid plagiarism. The hybrid of ethical methods decreased the plagiarism rate reported by Turnitin from nearly 100% to the average of 8.4% on 5 manuscripts.

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Ethical and Unethical Methods of Plagiarism Prevention in Academic Writing

This study uses citation analysis from two citation tracking databases, Google Scholar (GS) and ISI Web of Science, in order to test the correlation between them and examine the effect of the number of paper versions on citations. The data were retrieved from the Essential Science Indicators and Google Scholar for 101 highly cited papers from Malaysia in the field of engineering. An equation for estimating the citation in ISI based on Google scholar is offered. The results show a significant and positive relationship between both citation in Google Scholar and ISI Web of Science with the number of versions. This relationship is higher between versions and ISI citations (r = 0.395, p<0.01) than between versions and Google Scholar citations (r = 0.315, p<0.01). Free access to data provided by Google Scholar and the correlation to get ISI citation which is costly, allow more transparency in tenure reviews, funding agency and other science policy, to count citations and analyze scholars’ performance more precisely.

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Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers

Radio Frequency Identification (RFID) system is a new communication technology to identify the objects using electromagnetic waves. The main superiority of RFID systems in comparison with other identification systems, such as barcodes, is its ability in simultaneous identification process, but when more than one tag wants to communicate with the reader, collision problem occurs and wastes time and increases energy consumption. This reduces efficiency of the identification process in RFID systems. Collision problem happens when the reader has to identify more than one tag at the same time. Consequently, it is essential to develop an efficient anti-collision algorithm to save the time and energy and increase the performance of the system. In this paper, after investigating the previous works on ALOHA-based anti-collision algorithms, a new anti-collision algorithm is presented to improve the DFSA ALOHA-based anti-collision algorithms. Evaluation of the ALOHA-based algorithms and simulation of the results illustrate that presented work recognizes the tags more efficiently by reducing the number of time slots.

Fitted dynamic framed slotted ALOHA anti-collision algorithm in RFID systems

The main objective of Radio Frequency Identification systems is to provide fast identification for tagged objects. However, there is always a chance of collision, when tags transmit their data to the reader simultaneously. Collision is a time-consuming event that reduces the performance of RFID systems. Consequently, several anti-collision algorithms have been proposed in the literature. Dynamic Framed Slotted ALOHA (DFSA) is one of the most popular of these algorithms. DFSA dynamically modifies the frame size based on the number of tags. Since the real number of tags is unknown, it needs to be estimated. Therefore, an accurate tag estimation method has an important role in increasing the efficiency and overall performance of the tag identification process. In this paper, we propose a novel estimation technique for DFSA anti-collision algorithms that applies birthday paradox theory to estimate the number of tags accurately. The analytical discussion and simulation results prove that the proposed method increases the accuracy of tag estimation and, consequently, outperforms previous schemes.

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Azam Zavvari

Papers

Evaluating the academic trend of RFID technology based on SCI and SSCI publications from 2001 to 2014

Ethical and Unethical Methods of Plagiarism Prevention in Academic Writing

Equality of Google Scholar with Web of Science Citations: Case of Malaysian Engineering Highly Cited Papers

Fitted dynamic framed slotted ALOHA anti-collision algorithm in RFID systems

Extending birthday paradox theory to estimate the number of tags in RFID systems.