  Scientific cooperation on an international level has been well studied in the
literature. However, much less is known about this cooperation on the
intercontinental level. In this paper, we address this issue by creating a
collection of approximately 13.8 million publications around the papers by one
of the highly cited author working in complex networks and their applications.
The obtained rank-frequency distribution of the probability of sequences
describing continents and number of countries -- with which authors of papers
are affiliated -- follows the power law with an exponent $-1.9108(15)$. Such a
dependence is known in the literature as Zipf's law and it has been originally
observed in linguistics, later it turned out that it is very commonly observed
in various fields. The number of distinct ``continent (number of countries)''
sequences in a function of the number of analyzed papers grows according to
power law with exponent $0.527(14)$, i.e. it follows Heap's law.
