Bibliometrics has become an essential tool for assessing and analyzing the output of scientists, cooperation between universities, the effect of state-owned science funding on national research and development performance and educational efficiency, among other applications. Therefore, professionals and scientists need a range of theoretical and practical tools to measure experimental data. This review aims to provide an up-to-date review of the various tools available for conducting bibliometric and scientometric analyses, including the sources of data acquisition, performance analysis and visualization tools. The included tools were divided into three categories: general bibliometric and performance analysis, science mapping analysis, and libraries; a description of all of them is provided. A comparative analysis of the database sources support, pre-processing capabilities, analysis and visualization options were also provided in order to facilitate its understanding. Although there are numerous bibliometric databases to obtain data for bibliometric and scientometric analysis, they have been developed for a different purpose. The number of exportable records is between 500 and 50,000 and the coverage of the different science fields is unequal in each database. Concerning the analyzed tools, Bibliometrix contains the more extensive set of techniques and suitable for practitioners through Biblioshiny. VOSviewer has a fantastic visualization and is capable of loading and exporting information from many sources. SciMAT is the tool with a powerful pre-processing and export capability. In views of the variability of features, the users need to decide the desired analysis output and chose the option that better fits into their aims.

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Software tools for conducting bibliometric analysis in science: An up-to-date review

Reviewing two decades of cleaner alternative marine fuels: Towards IMO's decarbonization of the maritime transport sector

A survey study on major technical barriers affecting the decision to adopt cloud services

Hydrogen energy storage integrated hybrid renewable energy systems: A review analysis for future research directions

A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges

Blockchain technology is an emerging technology that allows new forms of decentralized architectures, designed to generate trust among users, without the intervention of mediators or knowledge between the parties. Since 2015, thanks to the introduction of Smart Contracts by Ethereum, it is possible to run programs on the blockchain, greatly extending the potential of this technology. The programming of Smart Contract, through the Solidity language is different from the traditional one. First of all, any action that requires to modify the blockchain costs gas, which corresponds to a fraction of the currency used by that given blockchain, and therefore to real money. Gas optimization is a unique challenge in this context and has obvious implications. This document aims to provide a set of design patterns and tips to help gas saving in developing Smart Contracts on Ethereum. The provided patterns are presented divided into five main categories, based on their features.

Design Patterns for Gas Optimization in Ethereum

Purpose




One of the main tasks of a researcher is to properly communicate the results he obtained. The choice of the journal in which to publish the work is therefore very important. However, not all journals have suitable characteristics for a correct dissemination of scientific knowledge. Some publishers turn out to be unreliable and, against a payment, they publish whatever researchers propose. The authors call “predatory journals” these untrustworthy journals. The purpose of this paper is to analyse the incidence of predatory journals in computer science literature and present a tool that was developed for this purpose.




Design/methodology/approach




The authors focused their attention on editors, universities and publishers that are involved in this kind of publishing process. The starting point of their research is the list of scholarly open-access publishers and open-access stand-alone journals created by Jeffrey Beall. Specifically, they analysed the presence of predatory journals in the search results obtained from Google Scholar in the engineering and computer science fields. They also studied the change over time of such incidence in the articles published between 2011 and 2015.




Findings




The analysis shows that the phenomenon of predatory journals somehow decreased in 2015, probably due to a greater awareness of the risks related to the reputation of the authors.




Originality/value




We focused on computer science field, using a specific sample of queries. We developed a software to automatically make queries to the search engine, and to detect predatory journals, using Beall’s list.

/pdf/incidence-of-predatory-journals-in-computer-science-5gc0eqgx31.pdf

Incidence of predatory journals in computer science literature

This paper reports the results from a survey concerning the use of Agile Methodologies (AM), techniques and tools for Web Programming. The survey lasted from October to December 2013, and involved 112 Web application developers from 32 countries. Its main purpose was to assess the usage of AMs, and of specific practices and tools, in the context of Web programming and of related technologies, such as Content Management Systems. The results confirm a broad adoption of AMs among Web developers, and the prevalence of Scrum among AMs.

Agile methodologies in web programming: a survey

Web applications are among the most popular and relevant kinds of application. Most Web applications are developed using a content management framework CMF. CMF helps to accelerate the publication of large amounts of information and the development of Web applications. However, developing Web applications through CMF is not exempt from cost and time overruns, as in traditional software projects. Currently, there is no estimation model able to adequately measure the effort of developing a Web application.

Web framework points: an effort estimation methodology for Web application development using a content management framework

Beyond the expected improvement of key performance indexes (like bandwidth, delay, jitter), the advent of 5G networks is expected to bring radical changes in the way services are realized and managed in several key vertical sectors, including energy. In this paper, we elaborate on the opportunity for quicker service development and deployment for the smart grid.

Danilo Tigano

Papers

Design Patterns for Gas Optimization in Ethereum

Incidence of predatory journals in computer science literature

Agile methodologies in web programming: a survey

Web framework points: an effort estimation methodology for Web application development using a content management framework

Beyond Transmission Performance: 5G Opportunities for Developing e-Energy Applications