Journal Articles
2015(1 publication)
[publication]Pereira, F.C. and Rodrigues, F. and Polisciuc, E. and Ben-Akiva, M. , "Why so many people? Explaining Nonhabitual Transport Overcrowding With Internet Data ", Transactions on Intelligent Transportation Systems, 2015

2013(1 publication)
[publication]Rodrigues, F. and Alves, A. and Polisciuc, E. and Jiang, S. and Ferreira, J. and Pereira, F.C. , "Estimating disaggregated employment size from Points-of-Interest and census data: From mining the web to model implementation and visualization", International Journal on Advanced Intelligent Systems,  vol. 6,  pp. 41-52, 2013
[citation][year=2018]Folch, D. C., Spielman, S. E., & Manduca, R. (2018). Fast food data: Where user?generated content works and where it does not. Geographical Analysis, 50(2), 125-140.
[citation][year=2018]Novack, T., Peters, R., & Zipf, A. (2018). Graph-Based Matching of Points-of-Interest from Collaborative Geo-Datasets. ISPRS International Journal of Geo-Information, 7(3), 117.
[citation][year=2018]Gervasoni, L., Fenet, S., Perrier, R., & Sturm, P. (2018, October). Convolutional neural networks for disaggregated population mapping using open data. In IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[citation][year=2018]Gervasoni, L., Fenet, S., & Sturm, P. (2018, January). Une méthode pour l’estimation désagrégée de données de population à l’aide de données ouvertes. In 18ème Conférence Internationale sur l'Extraction et la Gestion des Connaissances.
[citation][year=2017]Touya, G., Antoniou, V., Olteanu-Raimond, A. M., & Van Damme, M. D. (2017). Assessing crowdsourced POI quality: Combining methods based on reference data, history, and spatial relations. ISPRS International Journal of Geo-Information, 6(3), 80.
[citation][year=2016]Jonietz, D.; Zipf, A. Defining Fitness-for-Use for Crowdsourced Points of Interest (POI). ISPRS Int. J. Geo-Inf. 2016, 5, 149. doi:10.3390/ijgi5090149
[citation][year=2015]DRAFT, S. 2015, Why so many people? Explaining non-habitual transport overcrowding with internet data.Montini, L., Rieser-Schüssler, N., Horni, A., & Axhausen, K. (2014). Trip purpose identification from GPS tracks. Transportation Research Record: Journal of the Transportation Research Board, (2405), 16-23.
[citation][year=2014]Montini, L., Rieser-Schüssler, N., Horni, A., & Axhausen, K. (2014). Trip purpose identification from GPS tracks. Transportation Research Record: Journal of the Transportation Research Board, (2405), 16-23.
[citation][year=2014]Montini, L., & Rieser, N. (2014). Implementation and pretest of the trip purpose detection.
[citation][year=2014]Fine-resolution population mapping using OpenStreetMap points-of-interest
Mohamed Bakillah , Steve Liang , Amin Mobasheri , Jamal Jokar Arsanjani , Alexander Zipf 
International Journal of Geographical Information Science 
Vol. 28, Iss. 9, 2014
[citation][year=2014]Limits of Predictability in Commuting Flows in the Absence of Data for Calibration (Yingxiang Yang, C. Herrera-Yagüe, N. Eagle, Marta C González),Nature Collections, Scientific Reports 4, Article number: 5662 doi:10.1038/srep05662 (2014) http://www.nature.com/srep/2014/140711/srep05662/full/srep05662.html
[citation][year=2013]S Jiang, GA Fiore, Y Yang, J Ferreira Jrâ?¦, A review of urban computing for mobile phone traces: current methods, challenges and opportunities, Proceedings of the 2nd  …, 2013

Conference Articles
2020(1 publication)
[publication]Maçãs, C. and Polisciuc, E. and Penousal Machado , "GlyphSOMe: Using SOM with Data Glyphs for Customer Profiling", in Proceedings of the 15th International Joint Conference on Computer               Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP               2020, Volume 3: IVAPP, Valletta, Malta, February 27-29, 2020, 2020

2019(1 publication)
[publication]Ricardo Cardoso Pereira and Pedro Henriques Abreu and Polisciuc, E. and Penousal Machado , "A Data Visualization Approach for Intersection Analysis using AIS Data", in Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP, 2019

2018(2 publications)
[publication]Polisciuc, E. and Assunção, F. and Penousal Machado , "Towards Partially Automatic Search of Edge Bundling Parameters", in Computational Intelligence in Music, Sound, Art and Design, 2018

[publication]João Miguel Cunha and Polisciuc, E. and Martins, P. and Penousal Machado , "The Many-Faced Plot:Strategy for Automatic Glyph ", in The 22st International Conference Information Visualisation (IV), 2018, 2018

2017(2 publications)
[publication]Polisciuc, E. and Cruz, A. and Penousal Machado and Arrais, J.P. , "On the Role of Aesthetics in Genetic Algorithms Applied to Graph Drawing", in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2017

[publication]Polisciuc, E. and Penousal Machado , "Swarm-Based Edge Bundling Applied to Flow Mapping", in Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017

2016(3 publications)
[publication]Maçãs, C. and Pedro Cruz and Polisciuc, E. and Amaro, H. and Penousal Machado , "Iso-edges for the Geovisualization of Consumptions", in 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications., 2016

[publication]Polisciuc, E. and Pedro Cruz and Amaro, H. and Maçãs, C. and Penousal Machado , "Flow Map of Products Transported among Warehouses and Supermarkets", in 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications., 2016

[publication]Polisciuc, E. and Maçãs, C. and Assunção, F. and Penousal Machado , "Hexagonal Gridded Maps and Information Layers: A Novel Approach for the Exploration and Analysis of Retail Data", in SIGGRAPH ASIA 2016 Symposium on Visualization, 2016

2015(3 publications)
[publication]Polisciuc, E. and Alves, A. and Penousal Machado , "Understanding Urban Land Use through the Visualization of Points of Interest", in Fourth Workshop on Vision and Language (VL'15), part of 2015 Conference on Empirical Methods for Natural Language Processing (EMNLP15), 2015
[citation][year=2018]Shen, J. (2018). Profiling and Grouping Space-time Activity Patterns of Urban Individuals (Doctoral dissertation, UCL (University College London)).
[citation][year=2018]Cheng, T., & Shen, J. (2018). Grouping people in cities: From space-time to place-time based profiling. In Human Dynamics Research in Smart and Connected Communities (pp. 181-201). Springer, Cham.
[citation][year=2018]da Costa Rainho, F., & Bernardino, J. (2018, June). Web GIS: A new system to store spatial data using GeoJSON in MongoDB. In 2018 13th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE.

[publication]Maçãs, C. and Pedro Cruz and Polisciuc, E. and Amaro, H. and Santos, F. and Carvalho, T. and Penousal Machado , "Time-series Application on Big Data – Visualization of Consumption in Supermarkets", in 6th International Conference on Information Visualization Theory and Applications, 2015

[publication]Polisciuc, E. and Pedro Cruz and Amaro, H. and Maçãs, C. and Carvalho, T. and Santos, F. and Penousal Machado , "Arc and Swarm-based Representations of Customer's Flows among Supermarkets", in 6th International Conference on Information Visualization Theory and Applications, 2015

2013(1 publication)
[publication]Polisciuc, E. and Alves, A. and Bento, C. and Penousal Machado , "Visualizing urban mobility", in Special Interest Group on Computer Graphics and Interactive Techniques Conference, SIGGRAPH ’13, Anaheim, CA, USA, July 21-25, 2013, Poster Proceedings, page 115. ACM, 2013
[citation][year=2019]Sobral, T., Galvão, T., & Borges, J. (2019). Visualization of urban mobility data from intelligent transportation systems. Sensors, 19(2), 332.
[citation][year=2017]Sobral, T., Galvão, T., & Borges, J. (2017). Semantic integration of urban mobility data for supporting visualization. Transportation Research Procedia, 24, 180-188
[citation][year=2016]Sobral, Thiago, et al. "OBAVUM: An ontology-based approach to visualizing urban mobility data." Big Data Analysis (ICBDA), 2016 IEEE International Conference on. IEEE, 2016.
[citation][year=2015]Sobral, Thiago, Teresa Galvão Dias, and José Luís Borges. "Towards a Conceptual Framework for Classifying Visualisations of Data from Urban Mobility Services." Exploring Services Science. Springer International Publishing, 2015. 228-242.
[citation][year=2014]Sobral, T. Developing visualisations for urban mobility data: a user-centred design approach, MSc. Thesis, University of Porto, 2014
[citation][year=2013]Lee, Won Ho, Park, Jae Wan (2013.10). An Approach to Visualizing a Social Network Service Using a Blob Algorithm - Focusing on User Profile Data. ?Journal of Digital Design?, 13(4), 465-476.

Book Chapters
2018(1 publication)
[publication]Polisciuc, E. and Penousal Machado , "Smart City Portrayal: Dynamic Visualization Applied to the Analysis of Underground Metro", in Data Analytics for Smart Cities,  vol. 1,  pp. 91-110, 2018

2017(1 publication)
[publication]Polisciuc, E. and Penousal Machado , "Swarm-Based Edge Bundling Applied to Flow Mapping", in Computer Vision, Imaging and Computer Graphics Theory and Applications,  vol. 693,  pp. 310-326, 2017

MSc Theses
2013(1 publication)
[publication]Polisciuc, E. and Alves, A. and Rebelo, A. and Penousal Machado , "Visual Tools for the Study of Urban Mobility", 2013