Knowledge is becoming a paramount resource of innovation
economies. The efficient management of generation, use, accumulation
and transfer of knowledge within a non‑linear innovation process
plays a critical role in economic growth. Knowledge geography
registers the uneven landscape of the national innovation system and
captures the key excellence clusters at different hierarchical
levels – from local nodes to cities and regions. While the spatial
patterns of knowledge commercialization are primarily considered via
production processes at the regional level (regional innovation
systems, regional innovation clusters), knowledge generation has to
be monitored and assessed at the level of cities. Urban settlements
accommodate communities of people and a population of firms that
form unique configurations of innovation ecosystems that sculpture
the intellectual capital of regions and states. This paper presents
the distribution of knowledge‑generating centres in Russia by
undertaking an in‑depth evaluation of bibliometric data for 440
settlements across the country for a period of 2013‑2017. Methods of
spatial scientometrics enable to register the intellectual capital
accumulated in a certain locality and analyse development
trajectories of urban settlements. Russia is an interesting case of
studying the spatial patterns of knowledge generation. The large
territorial extent of the country, the remoteness of individual
cities from each other, their heterogeneity in size, level of
development, and knowledge specialization makes it a highly diverse
context. Research results suggest that knowledge domain
characteristics are formed irrespective of the population figures,
whereas the development dynamics of small and medium‑sized cities
are specific. Smaller cities strive to be integrated into
inter‑regional and international collaboration in order to overcome
the shortage of local resources. A limited gross volume of research
output generated by small and medium‑sized cities creates extreme
indicator values as compared to the major cities and the national
average. The study concludes with a typology of cities taking into
account the specific features of knowledge generation
dynamics.