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Discovering places of interest in everyday life from smartphone data

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2018Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions107 cited
2019Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research93 cited
2015Ambulatory Assessment: Methods for Studying Everyday Life70 cited

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2013

The influence of temporal and spatial features on the performance of next-place prediction algorithms

57 cited

2013On the validity of geosocial mobility traces52 cited

2013Uncovering Measurements of Social and Demographic Behavior From Smartphone Location Data49 cited

2014What is this place? Inferring place categories through user patterns identification in geo-tagged tweets45 cited

2017Hierarchical Cooperative Discovery of Personal Places from Location Traces43 cited

2017Discovering places of interest using sensor data from smartphones and wearables40 cited

2016Cooperative Discovery of Personal Places from Location Traces38 cited

2019Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators38 cited

2018Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data36 cited

2018Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data30 cited

2018Discovering Mobile Application Usage Patterns from a Large-Scale Dataset24 cited

2021Deriving College Students’ Phone Call Patterns to Improve Student Life20 cited