Artificial Intelligence in Air and Space Technologies: A Scientometric Analysis

Abstract

The aim of this paper is to conduct a bibliometric analysis and evaluate publication trends of research papers related to artificial intelligence in air and space technologies for the last 50 years. The data was obtained from Scopus' database. The keyword for the search was “artificial intelligence“ “aerospace“ This paper seeks to identify top publishing authors, universities, countries, and reference articles to highlight collaboration between author., institutions, and countries in the region, and to gain insight into research topics that scholars have been working on recently. Moreover, distribution of publications according to their languages, document types, and research areas are evaluated. Articles from 1975 to 2023 were considered, and a total of 1.,111 artificial intelligence in air and space technologies-related publications were discovered. There were five main document types in artificial intelligence in air and space technologies related publications and conference paper and article were mostly used among all document types. The United States was found to be the most productive country and English was the most frequently used language among all publications. Furthermore., engineering is the main distribution channel, and it is followed by computer science and physics and astronomy as the top popular research areas.

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