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Thematic Patterns in Georeferenced Tweets through Space-Time Visual Analytics
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  • 2015Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement102 cited
  • 2015Scalable and privacy-respectful interactive discovery of place semantics from human mobility traces59 cited
  • 2018Geo‐text data and data‐driven geospatial semantics57 cited
  • 2016The Geography of Cultural Ties and Human Mobility: Big Data in Urban Contexts57 cited
  • 2018Understanding the dynamics of urban areas of interest through volunteered geographic information53 cited
  • 2018Information Needs and Communication Gaps between Citizens and Local Governments Online during Natural Disasters51 cited
  • 2014Twitter location (sometimes) matters: Exploring the relationship between georeferenced tweet content and nearby feature classes48 cited
  • 2017Using social media to characterize urban mobility patterns: State-of-the-art survey and case-study47 cited
  • 2020Using Flickr Geotagged Photos to Estimate Visitor Trajectories in World Heritage Cities45 cited
  • 2014Areal Delineation of Home Regions from Contribution and Editing Patterns in OpenStreetMap30 cited
  • 2016Clustering Geo-tagged Tweets for Advanced Big Data Analytics29 cited
  • 2013EXTRACTING SEMANTICS OF Individual PLACES FROM MOVEMENT DATA BY ANALYZING TEMPORAL PATTERNS OF VISITS26 cited
  • 2018Travel and us: the impact of mode share on sentiment using geo-social media and GIS

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25 cited
  • 2014Moving on Twitter22 cited
  • 2016Research on social media feeds – A GIScience perspective21 cited
  • 2021A machine learning-based approach for classifying tourists and locals using geotagged photos: the case of Tokyo19 cited