Autocorrelation and Cross-Correlation of Climatological Time Series: A Bibliometric Analysis

Objective: This article aims to contribute to the investigation of the evolution of scientific knowledge related to autocorrelation and cross-correlation analysis techniques in time series of climatological variables, wind speed and solar radiation, in order to understand what is discussed on the subject and, in addition, to support future productions. Theoretical Framework: Conducting a study to investigate trends in the evolution of publications related to autocorrelation and cross-correlation measures, used to analyze climatological time series, is relevant to consolidate and deepen knowledge in this scientific field. Understanding the behavior of climatic elements is relevant in several areas of application: the spread of respiratory diseases; agricultural and urban planning tools; the relationship between climatological factors and pollutants; and renewable energy sources. Method: To achieve this objective, the bibliometric review technique was used to map the literature on the research topic, assessing the impact of production by country, identifying the authors, institutions and journals that stand out, trends in the number of publications and microanalysis. Results and Discussion: A total of 173 scientific articles were recorded during the analysis period, with the highest productivity peaks during the years 2013 and 2019 with 12 and 13 publications, respectively, representing together 18.25% of the total publications and from these years onwards a significant growth in the number of publications was evidenced. The countries that stood out the most in number of publications were China (21.96%), followed by the United States (4.05%) and Japan (4.05%). The most relevant authors were Li, Y. in the lead with 5 articles and Dinpashoh, Y. with 4, the same authors maintained productions on the subject over time. Conclusion: Our findings highlighted the relevance of mapping scientific advances related to autocorrelation and cross-correlation of climatological time series. It is noted that China is the country with the highest number of citations received and its significant number of articles and citations may indicate that this country has relevant scientific publications on the subject. These results will be useful as a constructive reference for future research on the subject.