Joseph Ferreira Jr.
Transportation · 2002–2017
A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Transportation — 69 citations into it; #551 of 2,062 by trust here, #386 by citations
- Statistical and Nonlinear Physics — 18 citations into it
- Signal Processing — 14 citations into it
- Geography, Planning and Development — 12 citations into it
- Molecular Biology — 10 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Computer Networks and Communications — 7 citations into it
- Economics and Econometrics — 7 citations into it
Whom Joseph Ferreira Jr. trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marta C. González
- James Franklin
- Klaus Nordhausen
- Yu Zheng
- Ramaswamy Hariharan
- Shan Jiang
- Chris H. Q. Ding
- Jaewon Yang
- Riley Crane
- Christian M. Schneider
Who trusts Joseph Ferreira Jr. overall
Papers from Joseph Ferreira Jr.'s perspective
Ordered by how strongly the researchers Joseph Ferreira Jr. trusts endorse each paper. Same corpus, a different order for every researcher.
- Understanding individual human mobility patterns
- The scaling laws of human travel (Nature)
- Uncovering individual and collective human dynamics from mobile phone records
- Modelling the scaling properties of human mobility
- Unravelling daily human mobility motifs (Journal of the Royal Society Interface)
- Friendship and mobility: user movement in location-based social networks
- A Formal Basis for the Heuristic Determination of Minimum Cost Paths
- Inferring friendship network structure by using mobile phone data (Proceedings of the National Academy of Sciences of the United States of America)
- Collaborative location and activity recommendations with GPS history data (The Web Conference)
- Spectral Relaxation for K-means Clustering (Neural Information Processing Systems)
Their papers
- Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2017) — 435 citations
- Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015) — 330 citations
- Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2013) — 637 citations
- A review of urban computing for mobile phone traces: current methods, challenges and opportunities (2013) — 298 citations
- Clustering daily patterns of human activities in the city (2012) — 302 citations
- TRAVEL BEHAVIOR AT THE HOUSEHOLD LEVEL: UNDERSTANDING LINKAGES WITH RESIDENTIAL CHOICE (2002) — 121 citations