Martinez, J. (2018). Mapping Dynamic Indicators of Quality of Life: a Case in Rosario, Argentina. Applied research in quality of life, 1-22. DOI: 10.1007/s11482-018-9617-0
Nganyanyuka, K., Martinez, J. A., Lungo, J. H., & Georgiadou, Y. (2018). If citizens protest, do water providers listen? Water woes in a Tanzanian town. Environment and urbanization. DOI: 10.1177/0956247817744942
Shrestha, R., Flacke, J., Martinez, J. A., & van Maarseveen, M. F. A. M. (2018). Interactive Cumulative Burden Assessment: Engaging Stakeholders in an Adaptive, Participatory and Transdisciplinary Approach. International journal of environmental research and public health, 15, 1-23. DOI: 10.3390/ijerph15020260
Kukoleca, M., Madureira, A. M., & Martinez, J. (2017). Evaluating the role of public spaces in promoting social interaction in divided cities. The case study of Nicosia, Cyprus. In Proceedings of the AESOP annual congress, Spaces of Dialog for Places of Dignity : Fostering the European Dimension of Planning, Association of the European Schools of Planning , 11-14 July 2017, Lisbon, Portugal (pp. 1-15)
Otioma, C., Madureira, A. M., & Martinez, J. (2017). Spatial Analysis of Urban Digital Divide in Kigali, Rwanda. In Proceedings of the Nordic Geographers Meeting - Geographies of Inequality, 18-21 June 2017, Stockholm, Sweden (pp. 1-30)
Sulistyaningsih, Madureira, A. M., & Martinez, J. (2017). Digital Divide and Deprivation : A Case Study in Semarang, Central Java, Indonesia. In Proceedings of the Nordic Geographers Meeting - Geographies of Inequality, 18-21 June 2017, Stockholm, Sweden (pp. 1-22)
Nganyanyuka, K. O., Martinez, J., Lungo, J., & Georgiadou, P. Y. (2017). Working with the Grain : How Amenable to Digital Transformation Are the Monitoring and Repair of Rural Water Points in Tanzania?Information technologies and international development, 13, 103-121.
Pratomo, J., Kuffer, M., Martinez, J., & Kohli, D. (2017). Coupling Uncertainties with Accuracy Assessment in Object-Based Slum Detections, Case Study: Jakarta, Indonesia. Remote sensing, 9(11), . DOI: 10.3390/rs9111164