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Artificial intelligence (AI) is a disruptive technology that has revolutionized various industries, including the field of research writing. Using AI-based tools in research writing brings a new level of efficiency, accuracy, and productivity to the process, allowing researchers to tap into alternative perspectives and generate fresh insights that can boost the quality of research work. In this article, we discuss the current trends and the potential benefits of open Artificial Intelligence (AI-) based tools for research writing, focusing on AI tools. In addition, we also discuss the impact of collaborative writing with AI on productivity, highlighting the benefits of AI tools in the research writing process. The current trends show that AI tools enable researchers to perform complex data analysis, generate personalized content, and identify patterns that can aid decision-making. Therefore, it is imperative for researchers to embrace AI tools, learn how to use them effectively and harness their potential to achieve better research outcomes.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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