Global Share of Corresponding/Leading Author in Scientific Publications in Computer Vision and Pattern Recognition by Country

The analysis reveals high national dominance in scientific publications in Computer Vision and Pattern Recognition, with countries like India and China leading with values over 97%. These figures indicate a strong emphasis on domestic authorship in these regions. Notably, countries such as Iceland exhibit significantly lower shares, suggesting more international collaboration. Across the past years, countries like the United Kingdom, Australia, and others show larger degrees of international authorship, with less than 85% domestic representation.

Future trends to watch include the potential rise of collaborative international research in rapidly growing research sectors like AI-driven Computer Vision, potentially shifting the current high domestic authorship trends in leading economies. Additionally, emerging economies may increase their global presence in publications due to expanding educational and technological infrastructures.