The American Society for Engineering and Education (ASEE) Computing & Information Technology (CIT) Division's existence spans several decades, and it continues to be a stalwart advocate for numerous research papers and sessions featured at the ASEE Annual Conference and Exposition. The ability to gauge the long-term impact of a scientific article shortly after its publication is invaluable for precisely evaluating research performance. Among the metrics employed to assess an article's research impact, the number of downloads stands out as a significant indicator of research output.
In this paper, our primary goal is to determine which specific topics or domains elicit heightened attention within the research community. This research is driven by the desire to better comprehend the subjects that gain substantial traction among scholars submitting work to the CIT division. Ultimately, our aim is to provide valuable guidance to researchers contemplating the development of new papers or the exploration of emerging research domains.
In pursuit of these objectives, we have compiled a comprehensive dataset for this paper. This dataset encompasses various attributes, including paper titles, citation counts, download statistics, author details (including the number of authors and their respective order), author names, and affiliated institutions. It encompasses papers submitted to the Computing and Information Technology (CIT) division of the American Society for Engineering and Education (ASEE) over a substantial period, from 2011 to 2023. Within this dataset, 427 papers are included, featuring download counts ranging from as few as 3 to as many as 27,404.
Our work introduces a novel approach for identifying research topics with the potential to significantly influence future research directions. The interplay between download counts and citation statistics assumes a pivotal role in appraising and predicting upcoming trends in research. While prior studies have extensively examined the multifaceted factors affecting citation counts, encompassing both cited and citing papers, this particular research narrows its focus to download numbers. Specifically, we aim to explore the download and citation statistics of papers submitted to the Computer and Information Technology (CIT) division of ASEE.
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