| Activity-aware map: Identifying human daily activity pattern using mobile phone data S Phithakkitnukoon, T Horanont, G Di Lorenzo, R Shibasaki, C Ratti Human Behavior Understanding: First International Workshop, HBU 2010 …, 2010 | 416 | 2010 |
| Socio-geography of human mobility: A study using longitudinal mobile phone data S Phithakkitnukoon, Z Smoreda, P Olivier PLoS ONE, 2011 | 281 | 2011 |
| Taxi-aware map: Identifying and predicting vacant taxis in the city S Phithakkitnukoon, M Veloso, C Bento, A Biderman, C Ratti Ambient Intelligence: First International Joint Conference, AmI 2010, Malaga …, 2010 | 214 | 2010 |
| Urban mobility study using taxi traces M Veloso, S Phithakkitnukoon, C Bento Proceedings of the 2011 international workshop on Trajectory data mining and …, 2011 | 156 | 2011 |
| Group recommendation system for facebook EA Baatarjav, S Phithakkitnukoon, R Dantu On the Move to Meaningful Internet Systems: OTM 2008 Workshops: OTM …, 2008 | 130 | 2008 |
| Weather effects on the patterns of people's everyday activities: a study using GPS traces of mobile phone users T Horanont, S Phithakkitnukoon, TW Leong, Y Sekimoto, R Shibasaki PloS one 8 (12), e81153, 2013 | 127 | 2013 |
| Inferring passenger travel demand to improve urban mobility in developing countries using cell phone data: a case study of Senegal MG Demissie, S Phithakkitnukoon, T Sukhvibul, F Antunes, R Gomes, ... IEEE Transactions on intelligent transportation systems 17 (9), 2466-2478, 2016 | 104 | 2016 |
| Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan S Phithakkitnukoon, T Horanont, A Witayangkurn, R Siri, Y Sekimoto, ... Pervasive and Mobile Computing 18, 18-39, 2015 | 96 | 2015 |
| Sensing urban mobility with taxi flow M Veloso, S Phithakkitnukoon, C Bento Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location …, 2011 | 64 | 2011 |
| Inferring social influence in transport mode choice using mobile phone data S Phithakkitnukoon, T Sukhvibul, M Demissie, Z Smoreda, J Natwichai, ... EPJ Data Science 6, 1-29, 2017 | 61 | 2017 |
| Behavior-based adaptive call predictor S Phithakkitnukoon, R Dantu, R Claxton, N Eagle ACM Transactions on Autonomous and Adaptive Systems (TAAS) 6 (3), 1-28, 2011 | 59 | 2011 |
| Exploratory study of urban flow using taxi traces M Veloso, S Phithakkitnukoon, C Bento, N Fonseca, P Olivier First Workshop on Pervasive Urban Applications (PURBA) in conjunction with …, 2011 | 56 | 2011 |
| Behavior analysis of spam botnets H Husna, S Phithakkitnukoon, S Palla, R Dantu 2008 3rd International Conference on Communication Systems Software and …, 2008 | 56 | 2008 |
| Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada P Prommaharaj, S Phithakkitnukoon, MG Demissie, L Kattan, C Ratti Heliyon 6 (4), 2020 | 49 | 2020 |
| Interpretable machine-learning model with a collaborative game approach to predict yields and higher heating value of torrefied biomass T Onsree, N Tippayawong, S Phithakkitnukoon, J Lauterbach Energy 249, 123676, 2022 | 46 | 2022 |
| Trip distribution modeling using mobile phone data: emphasis on intra-zonal trips MG Demissie, S Phithakkitnukoon, L Kattan IEEE Transactions on Intelligent Transportation Systems 20 (7), 2605-2617, 2018 | 45 | 2018 |
| Mining temporal patterns of transport behaviour for predicting future transport usage S Foell, G Kortuem, R Rawassizadeh, S Phithakkitnukoon, M Veloso, ... Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013 | 44 | 2013 |
| Weather Effects on Mobile Social Interactions: A Case Study of Mobile Phone Users in Lisbon, Portugal S Phithakkitnukoon, TW Leong, Z Smoreda, P Olivier PLoS ONE 7 (10), e45745, 2012 | 43 | 2012 |
| Out of sight out of mind--How our mobile social network changes during migration S Phithakkitnukoon, F Calabrese, Z Smoreda, C Ratti 2011 IEEE third international conference on privacy, security, risk and …, 2011 | 43 | 2011 |
| Analysis of demand–supply gaps in public transit systems based on census and GTFS data: a case study of Calgary, Canada K Kaeoruean, S Phithakkitnukoon, MG Demissie, L Kattan, C Ratti Public Transport 12, 483-516, 2020 | 38 | 2020 |
Carlos Lisboa BentoUniversidade de CoimbraEmail verificata su dei.uc.pt
