Abstract The paper examines the development trend of open-access publications released from 2014 to 2023. Data was obtained from the Scopus database using the keyword “Open Access." The collected articles were organized chronologically and transferred to a spreadsheet for analysis in line with the study's objectives. The findings indicated 581,535 publications, with the highest number of publications (87,558) in 2022 and... The paper examines the development trend of open-access publications released from 2014 to 2023. Data was obtained from the Scopus database using the keyword “Open Access." The collected articles were organized chronologically and transferred to a spreadsheet for analysis in line with the study's objectives. The findings indicated 581,535 publications, with the highest number of publications (87,558) in 2022 and the lowest of 32,075 publications in 2014. The average relative growth rate of open-access publications showed an exponential pattern. The dataset fits well with the polynomial model (r2 =.9698), linear model (r2 =.9567), exponential model (r2 =.9645), and logarithmic model (r2 =.7912). Read More Read Less

Abstract We in this paper advocated the concept Research Metrics with some descriptions relating to the units which are used to measure. We briefly described the developments in the metrics field and listed the research units. While discussing the metrics, it is important to address various ethical measures such as plagiarism, retractions, self-citations, predatory journals which have impact in metrics applications. Thus, research evaluation needs a... We in this paper advocated the concept Research Metrics with some descriptions relating to the units which are used to measure. We briefly described the developments in the metrics field and listed the research units. While discussing the metrics, it is important to address various ethical measures such as plagiarism, retractions, self-citations, predatory journals which have impact in metrics applications. Thus, research evaluation needs a perfect auditing system which we advocated in this paper. Any research in evaluation should consider these issues and they are expected to impact in the future assessment practices. Read More Read Less

Abstract Mendeley has become a well-liked reference management application with many features that make academic research and cooperation easier. This article explores Mendeley's many uses, from essential tools for constructing libraries to sophisticated integrations and functionality that boost output. We will examine how users can utilise the Mendeley Cite add-in to effectively organise and cite references in Microsoft Word, making academic... Mendeley has become a well-liked reference management application with many features that make academic research and cooperation easier. This article explores Mendeley's many uses, from essential tools for constructing libraries to sophisticated integrations and functionality that boost output. We will examine how users can utilise the Mendeley Cite add-in to effectively organise and cite references in Microsoft Word, making academic writing easier. Mendeley will also emphasise its solid collaborative features and research networking capabilities, demonstrating how these tools let scholars connect and collaborate. The essay also looks into Mendeley's more sophisticated capabilities and integrations, such as cloud synchronisation, support for multiple citation styles and formats, and PDF annotation. Mendeley has drawbacks despite all of its advantages. We'll talk about the drawbacks users could experience, like dependency on cloud storage, inaccurate metadata, responsive interfaces, compatibility problems, and customer service. This article attempts to give scholars the tools they need to take full advantage of Mendeley's advantages while also being aware of its disadvantages by offering a thorough overview. Read More Read Less

Abstract This study examines the authorship pattern and research collaboration in Artificial Intelligence (AI) based on 3495 scholarly communications between 2014 and 2023. The analysis delves into various significant aspects such as types and trends of authorship, author productivity, author per paper, Document-wise distribution, and geographical distribution. Notably, multiple-author papers emerge as more prevalent within AI. Additionally, the study identifies the USA as the highest contributor country... This study examines the authorship pattern and research collaboration in Artificial Intelligence (AI) based on 3495 scholarly communications between 2014 and 2023. The analysis delves into various significant aspects such as types and trends of authorship, author productivity, author per paper, Document-wise distribution, and geographical distribution. Notably, multiple-author papers emerge as more prevalent within AI. Additionally, the study identifies the USA as the highest contributor country in AI. Read More Read Less