Under preparation or in press

Melo, H. P., Verma, T & Araujo, N. A. (2023). A Universal Method to Measure Accessibility.

Nelson, R., Warnier, M., & Verma, T. (2022).Conceptualising Urban Inequality as a complex socio-spatial phenomenon.

Jokic, I., van Boven, E., Manolopoulos, I., Verma, T., & van Mieghem, P. (2022). Modelling the Multi-layer Dynamics of Co-Evolution of Urban Regions: A case of Dutch Municipalities. (with Centraal Bureau voor de Statistiek).

Kolkowski, L., Verma, T., & Cats, O. (2022) Measuring Activity-Based Social Segregation using Public Transport Smart Card Data.

Goncalves, J., Kraaijvanger, C., Arab, R., & Verma, T. (2022). A socio-spatial analysis of Climate Vulnerability.

Goncalves, J., & Verma, T. (2022). Spatial Justice! A Research Agenda for Global Urban Challenges.

Herzog, R., Goncalves, J., Slingerland, G., Kleinhans, R., Holger, P., Brazier, F., & Verma, T. (2022). Cities for Citizens: Identification of Socio-Spatial Public Value Conflicts in Urban Areas.

Sundaram, A., Goncalves, J., Ghorbani, A., Verbraeck, A., & Verma, T. (2022). Evaluating the Role of Urban Social Networks in Just Energy Transition.

Nicoletti, L., Sireno, M., & Verma, T. (2022). Disadvantaged Communities have lower access to Urban Infrastructure.

Nicoletti, L., Santi, P., Warnier, M., & Verma, T. (2022). Tweets Matter: Quantifying the Spatio-Temporal Relationship Between Social Media Activism and Physical Protest.

Reggiani, G., Tang, W., Verma, T., & Hoogendoorn, S. (2021). Analysing World Bike Networks.


Patel, R., Marvuglia, A., Baustert, P., Huang, Y., Shivakumar, A., Nikolic, I., & Verma, T. (2022). Quantifying households’ carbon footprint in cities using socioeconomic attributes: A case study for The Hague (Netherlands). Sustainable Cities and Society, 104087. [ Link]

Wang, Z., Pel, A. J., Verma, T., Krishnakumari, P., van Brakel, P., & van Oort, N. (2022). Effectiveness of trip planner data in predicting short-term bus ridership. Transportation Research Part C: Emerging Technologies, 142, 103790. [ Link]

Badhrudeen, M., Derrible, S., Verma, T., Kermanshah, A., & Furno, A. (2022). A Geometric Classification of World Urban Road Networks. Urban Science, 6(1), 11. [ Link]

Fard, A. E., & Verma, T. (2022). A comprehensive review on countering rumours in the age of online social media platforms. Causes and Symptoms of Socio-Cultural Polarization, 253-284. [ Link]


Buijtenweg, A., Verma, T., Cats, O., Donners, B., & Wang, H. (2021, June). Quantifying the hierarchy of public transport networks. In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (pp. 1-6). IEEE. [Link]

Verma, T., Sirenko, M., Kornecki, I., Cunningham, S., & Araújo, N. A. (2021). Extracting Spatiotemporal Demand for Public Transit from Mobility Data. Journal of Urban Mobility, 1, 100004. [ Link]

Yap, J. R., Jafino, B. A., & Verma, T. (2021). Equity Principles Highlight Variations in Road Network Criticality. Findings, 24900. [ Link]

Garbasevschi, O. M., Schmiedt, J. E., Verma, T., Lefter, I., Altes, W. K. K., Droin, A., … & Wurm, M. (2021). Spatial factors influencing building age prediction and implications for urban residential energy modelling. Computers, Environment and Urban Systems, 88, 101637. [ Link]

Melo, H. P., Henriques, J., Carvalho, R., Verma, T., da Cruz, J. P., & Araújo, N. A. M. (2021). Heterogeneous impact of a lockdown on inter-municipality mobility. Physical Review Research, 3(1), 013032. [ Link]


Wang, Z., Luo, D., Cats, O., & Verma, T. (2020, September). Unraveling the Hierarchy of Public Transport Networks. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (pp. 1-6). IEEE. [ Link]


Verma, T., Rebelo, L., & Araújo, N. A. (2019). Impact of perceived distances on international tourism. PloS one, 14(12), e0225315. [ Link]

Verma, T., Folini, M., Wang, Y., Heinimann, H. R., & Araújo, N. A. (2019). Decentralized Optimal Route Navigation. In Complex Networks 2018, The 7th International Conference on Complex Networks & Their Applications, December 11-13, 2018, Cambridge, United Kingdom. Book of Abstracts (pp. 501-504). International Conference on Complex Networks & Their Applications. [ Link]


Verma, T., Araújo, N. A. M., Nagler, J., Andrade Jr, J. S., & Herrmann, H. J. (2016). Model for the growth of the World Airline Network. International Journal of Modern Physics C, 27(12), 1650141. [ Link]

Verma, T., Russmann, F., Araújo, N. A., Nagler, J., & Herrmann, H. J. (2016). Emergence of core–peripheries in networks. Nature communications, 7(1), 1-7. [ Link]

Verma, T. (2016). Structure and dynamics of the world airline network Doctoral dissertation, ETH Zurich [ Link]


Louzada, V. H., Araujo, N. A., Verma, T., Daolio, F., Herrmann, H. J., & Tomassini, M. (2015). Critical cooperation range to improve spatial network robustness. PloS one, 10(3), e0118635. [ Link]

Orbe, C., Verma, T., Balac, M., & Ciari, F. (2015). Evaluating the effects of variable user demand on a round-trip, one-way, and free-floating car sharing fleet in the city of Zurich, Switzerland. hEART 2015: List of Abstracts. [ Link]

Rosas-Casals, M., Bologna, S., Bompard, E. F., D’Agostino, G., Ellens, W., Pagani, G. A., Scala, A., & Verma, T. (2015). Knowing power grids and understanding complexity science. International Journal of Critical Infrastructures, 11(1), 4-14. [ Link]

Verma, T., Ellens, W., & Kooij, R. E. (2015). Context-independent centrality measures underestimate the vulnerability of power grids. International Journal of Critical Infrastructures 7, 11(1), 62-81. [ Link]


Verma, T., Araújo, N. A., & Herrmann, H. J. (2014). Revealing the structure of the world airline network. Scientific reports, 4(1), 1-6. [ Link]


Koç, Y., Verma, T., Araujo, N. A., & Warnier, M. (2013, November). Matcasc: A tool to analyse cascading line outages in power grids. In 2013 IEEE International Workshop on Inteligent Energy Systems (IWIES) (pp. 143-148). IEEE. [ Link]


Verma, T. (2012). Vulnerability of Power Grids to Cascading Failures. MSc Thesis at TU Delft [ Link]