id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-4778	Deepak Hajoary	Analyzing Citation Dynamics and Forecasting Academic Trends: A Multi-Criteria Decision-Making Approach Using ARIMA and AHP	2025	16	.pdf	application/pdf	5621	256	35	Considering the dynamic nature of academic research and the increasing emphasis on data-driven methods for decision-making, the goals of this study are as follows: to analyze the relationship between the year of publication and citation count to determine whether older publications have a tendency to attain more citations than newer publications; to use time series forecasting (ARIMA and Holt’s Exponential Smoothing) to determine trends of future publications and study the performance of different forecasting techniques; to use the Analytic Hierarchy Process (AHP) to rank research publications in terms of their citation count, year of publication, and relevancy to MCDM, providing a systematic multi- criteria decision-making approach for the evaluation of academic impact[9].Using a blend of bibliometric techniques and decision-support models, this study provides a comprehensive examination of citation dynamics and insights into a wider understanding of how academic research is assessed and valued over time[10]. If we choose to consider these factors, our insights into how new media and digital tools affect the citation dynamics of academic publications may become more accurate and realistic.	cache/cana-4778.pdf	txt/cana-4778.txt