Hyperbolic Geometry of Complex Networks - Dmitri V. Krioukov; Fragkiskos Papadopoulos; Maksim Kitsak; Amin Vahdat; Marián Boguñá (CoRR, 2010)

Hidden Variables in Bipartite Networks - Maksim Kitsak; Dmitri V. Krioukov (CoRR, 2011)

Network Cosmology - Dmitri V. Krioukov; Maksim Kitsak; Robert S. Sinkovits; David Rideout; David Meyer; Marián Boguñá (CoRR, 2012)

Long-Range Correlations and Memory in the Dynamics of Internet Interdomain Routing. - Maksim Kitsak; Ahmed Elmokashfi; Shlomo Havlin; Dmitri V. Krioukov (CoRR, 2015)

Latent geometry of bipartite networks. - Maksim Kitsak; Fragkiskos Papadopoulos; Dmitri V. Krioukov (CoRR, 2016)

Network Foundation for Command and Control (C2) Systems: Literature Review. - Daniel A. Eisenberg; David L. Alderson; Maksim Kitsak; Alexander A. Ganin; Igor Linkov (IEEE Access, 2018)

Link prediction with hyperbolic geometry. - Maksim Kitsak; Ivan Voitalov; Dmitri V. Krioukov (CoRR, 2019)

Latent Geometry for Complementarity-Driven Networks. - Maksim Kitsak (CoRR, 2020)

Weighted hypersoft configuration model. - Ivan Voitalov; Pim van der Hoorn; Maksim Kitsak; Fragkiskos Papadopoulos; Dmitri V. Krioukov (CoRR, 2020)

Two-Population SIR Model and Strategies to Reduce Mortality in Pandemics. - Long Ma 008; Maksim Kitsak; Piet Van Mieghem (COMPLEX NETWORKS, 2021)

Finding shortest and nearly shortest path nodes in large substantially incomplete networks. - Maksim Kitsak; Alexander A. Ganin; Ahmed Elmokashfi; Hongzhu Cui; Daniel A. Eisenberg; David L. Alderson; Dmitry Korkin; Igor Linkov (CoRR, 2022)

Topological properties and organizing principles of semantic networks. - Gabriel Budel; Ying Jin; Piet Van Mieghem; Maksim Kitsak (CoRR, 2023)

Vanishing Variance Problem in Fully Decentralized Neural-Network Systems. - Yongding Tian; Zaid Al-Ars; Maksim Kitsak; H. Peter Hofstee (CoRR, 2024)

Order Disruption and Resilience of Cyber-Physical Systems of a Metropolitan Region. - Davis C. Loose; Megan C. Marcellin; Igor Linkov; Gigi Pavur; Maksim A. Kitsak; Michael A. Deegan; James H. Lambert (SysCon, 2025)

Low-Loss Space in Neural Networks is Continuous and Fully Connected. - Yongding Tian; Zaid Al-Ars; Maksim Kitsak; H. Peter Hofstee (CoRR, 2025)