Dynamics on networks. Case of Heterogeneous Opinion Status Model. - Liubov Tupikina (CoRR, 2017)

Structural and temporal heterogeneities on networks. - Liubov Tupikina; Denis S. Grebenkov (Appl. Netw. Sci., 2019)

Morphological organization of point-to-point transport in complex networks. - Min-Yeong Kang; Geoffroy Berthelot; Liubov Tupikina; Christos Nicolaides; Jean-François Colonna; Bernard Sapoval; Denis S. Grebenkov (CoRR, 2019)

Are forum networks social networks?: a methodological perspective. - Oleksandra Poquet; Liubov Tupikina; Marc Santolini (LAK, 2020)

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. - Remy Kusters; Dusan Misevic; Hugues Berry; Antoine Cully; Yann Le Cunff; Loic Dandoy; Natalia Díaz Rodríguez; Marion Ficher; Jonathan Grizou; Alice Othmani; Themis Palpanas; Matthieu Komorowski; et al. (Frontiers Big Data, 2020)

Geometry of Outdoor Virus Avoidance in Cities. - Philippe Jacquet; Liubov Tupikina (GSI, 2021)

Quantifying the rise and fall of scientific fields. - Chakresh Singh; Emma Barme; Robert N. Ward; Liubov Tupikina; Marc Santolini (CoRR, 2021)

iNaturalist citizen science community during City Nature Challenge: new computational approach for analysis of user activity. - Liubov Tupikina; Frank Schlosser; Vadim Voskresenskii; Katharina Kloppenborg; Florence Lopez; Albrecht Mariz; Anna Mogilevskaja; Muki Haklay; Bastian Greshake Tzovaras (CoRR, 2021)

Modelling railway delay propagation as diffusion-like spreading. - Mark M. Dekker; Alexey N. Medvedev; Jan Rombouts; Grzegorz Siudem; Liubov Tupikina (EPJ Data Sci., 2022)

Harnessing collective intelligence for the future of learning - a co-constructed research and development agenda. - Dusan Misevic; Ignacio Atal; Denis Bedard; Eric Cherel; José Escamilla; Linda Evans; Valerie Hannon; Caroline Huron; Olivier Irrmann; René F. Kizilcec; Emmanuel Lazega; Kerri Lemoie; et al. (Hum. Comput., 2023)

Dissecting embedding method: learning higher-order structures from data. - Liubov Tupikina; Kathuria Hritika (CoRR, 2024)

Charting mobility patterns in the scientific knowledge landscape. - Chakresh Kumar Singh; Liubov Tupikina; Fabrice Lécuyer; Michele Starnini; Marc Santolini (EPJ Data Sci., 2024)

Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods. - Xiaohua Lu; Liubov Tupikina; Mehwish Alam (CoRR, 2025)

Assessing the complexity of a path search optimization method based on clustering for a transport graph. - Dmitrii Fedorov; Georgii Kontsevik; Roman Bashirov; Sergey A. Mityagin; Liubov Tupikina; Nikita Zakharenko; Semen A. Budennyy (EPJ Data Sci., 2025)