Мега часопис – нови стандард научних часописа у науци 2.0

Q4 Computer Science

Journal of Computing and Information Technology Pub Date : 2020-12-28 DOI:10.19090/cit.2020.37.12-25

Весна З. Абадић, Марија М. Гордић

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引用次数: 0

Abstract

Since the megajournal concept was established as a model of a sustainable scientific open access only journal, the scientific public has been polarized. On the one hand, these journals are seen as the future of academic publishing, enabling faster availability of research results, and thus easier communication between researchers, while on the other hand, for a number of authors, this new and non-traditional way of publishing scientific achievements is debatable. In addition to obvious criticism and public controversy, megajournals have been described as a dumping ground for works of untested quality, with good earnings for their publishers, which automatically characterizes them as predatory. Besides the basic characteristics, the paper gives an overview of five influential megajournals, including their bibliometric indicators. The increase in the number of published papers and impact factors in the initial years of publication, indicates that megajournals have been recognized and accepted as a business model. In the last few years, during the analysis of various metrics of published megajournals, a certain stagnation has been noticed, which indicates the hyperproduction of new works in an increasing number of titles.

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自从超级期刊的概念被确立为一种可持续的科学开放获取期刊的模式以来，科学界的公众就出现了两极分化。一方面，这些期刊被视为学术出版的未来，可以更快地获得研究成果，从而使研究人员之间的交流更容易，而另一方面，对于一些作者来说，这种新的、非传统的发表科学成果的方式是有争议的。除了明显的批评和公众争议之外，超级期刊还被描述为质量未经检验的作品的倾倒场，它们的出版商获得了丰厚的收入，这自然而然地将主题描述为掠夺性的。在分析其基本特征的基础上，综述了5种具有影响力的特大期刊，包括它们的文献计量指标。在出版的最初几年里，发表的论文数量和影响因子的增加表明，超级期刊已经被认可和接受为一种商业模式。在过去的几年里，在对出版的大型期刊的各种指标进行分析时，我们注意到某种停滞，这表明越来越多的标题中出现了新作品的超量生产。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computing and Information Technology Computer Science-Computer Science (all)

CiteScore

0.60

自引率

0.00%

发文量

审稿时长

26 weeks

期刊介绍： CIT. Journal of Computing and Information Technology is an international peer-reviewed journal covering the area of computing and information technology, i.e. computer science, computer engineering, software engineering, information systems, and information technology. CIT endeavors to publish stimulating accounts of original scientific work, primarily including research papers on both theoretical and practical issues, as well as case studies describing the application and critical evaluation of theory. Surveys and state-of-the-art reports will be considered only exceptionally; proposals for such submissions should be sent to the Editorial Board for scrutiny. Specific areas of interest comprise, but are not restricted to, the following topics: theory of computing, design and analysis of algorithms, numerical and symbolic computing, scientific computing, artificial intelligence, image processing, pattern recognition, computer vision, embedded and real-time systems, operating systems, computer networking, Web technologies, distributed systems, human-computer interaction, technology enhanced learning, multimedia, database systems, data mining, machine learning, knowledge engineering, soft computing systems and network security, computational statistics, computational linguistics, and natural language processing. Special attention is paid to educational, social, legal and managerial aspects of computing and information technology. In this respect CIT fosters the exchange of ideas, experience and knowledge between regions with different technological and cultural background, and in particular developed and developing ones.