Most cited papers in Human Mobility and Location-Based Analysis
What are the most cited papers in Human Mobility and Location-Based Analysis?
The most cited paper in Human Mobility and Location-Based Analysis is "RADAR: an in-building RF-based user location and tracking system" (Paramvir Bahl, Venkat N. Padmanabhan, 2002), with 8,388 citations. Next come "Understanding individual human mobility patterns" (6,165) and "Communication-Efficient Learning of Deep Networks from Decentralized Data" (5,182).
Showing 50 of 100 papers. Every paper with more than 852 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | RADAR: an in-building RF-based user location and tracking system Paramvir Bahl, Venkat N. Padmanabhan | 7 Nov 2002 | 8,388 |
| 2 | Understanding individual human mobility patterns Marta Claudia González, César A. Hidalgo, Albert-Ĺaszló Barabási · Nature | 4 Jun 2008 | 6,165 |
| 3 | Communication-Efficient Learning of Deep Networks from Decentralized Data H. Brendan McMahan, Eider Moore, Daniel Ramage et al. · arXiv (Cornell University) | 17 Feb 2016 | 5,182 |
| 4 | Federated Learning: Challenges, Methods, and Future Directions Tian Li, Anit Kumar Sahu, Ameet Talwalkar et al. · IEEE Signal Processing Magazine | May 2020 | 5,060 |
| 5 | From Louvain to Leiden: guaranteeing well-connected communities Traag, V.A., Ludo Waltman, Nees Jan van Eck · Leiden Repository (Leiden University) | 2019 | 4,331 |
| 6 | Running experiments on Amazon Mechanical Turk Gabriele Paolacci, Jesse Chandler, Panagiotis G. Ipeirotis · Judgment and Decision Making | Aug 2010 | 3,836 |
| 7 | A Survey of Collaborative Filtering Techniques Xiaoyuan Su, Taghi M. Khoshgoftaar · Advances in Artificial Intelligence | 27 Oct 2009 | 3,644 |
| 8 | Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Bing Yu, Haoteng Yin, Zhanxing Zhu | Jul 2018 | 3,631 |
| 9 | Smart Cities: Definitions, Dimensions, Performance, and Initiatives Vito Albino, Umberto Berardi, Rosa Maria Dangelico · Journal of Urban Technology | 2 Jan 2015 | 3,528 |
| 10 | Computational Social Science David Lazer, Alex Pentland, Lada A. Adamic et al. · Science | 6 Feb 2009 | 3,354 |
| 11 | T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction Ling Zhao, Yujiao Song, Chao Zhang et al. · IEEE Transactions on Intelligent Transportation Systems | 22 Aug 2019 | 3,346 |
| 12 | Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources Xiao Xiang Zhu, Devis Tuia, Lichao Mou et al. · IEEE Geoscience and Remote Sensing Magazine | Dec 2017 | 3,261 |
| 13 | Limits of Predictability in Human Mobility Chaoming Song, Zehui Qu, Nicholas Blumm et al. · Science | 18 Feb 2010 | 3,250 |
| 14 | Friends and neighbors on the Web Lada A. Adamic, Eytan Adar · Social Networks | Jul 2003 | 2,999 |
| 15 | Friendship and mobility Eunjoon Cho, Seth A. Myers, Jure Leskovec | 21 Aug 2011 | 2,952 |
| 16 | Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu, Shirui Pan, Guodong Long et al. | 28 Jul 2019 | 2,951 |
| 17 | Activity recognition using cell phone accelerometers Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore · ACM SIGKDD Explorations Newsletter | 31 Mar 2011 | 2,921 |
| 18 | Reality mining: sensing complex social systems Nathan Eagle, Alex Pentland · Personal and Ubiquitous Computing | 2 Nov 2005 | 2,809 |
| 19 | A Survey on Human Activity Recognition using Wearable Sensors Óscar D. Lara, Miguel A. Labrador · IEEE Communications Surveys & Tutorials | 29 Nov 2012 | 2,671 |
| 20 | Towards a Better Understanding of Context and Context-Awareness Gregory D. Abowd, Anind K. Dey, Peter J. Brown et al. · Lecture notes in computer science | 1999 | 2,611 |
| 21 | The real-time city? Big data and smart urbanism Rob Kitchin · GeoJournal | 28 Nov 2013 | 2,583 |
| 22 | Network Robustness and Fragility: Percolation on Random Graphs Duncan S. Callaway, Mark E. J. Newman, Steven H. Strogatz et al. · Physical Review Letters | 18 Dec 2000 | 2,517 |
| 23 | Spatial networks Marc Barthélemy · Physics Reports | 24 Nov 2010 | 2,488 |
| 24 | Predicting the Present with Google Trends Hyunyoung Choi, Hal R. Varian · Economic Record | Jun 2012 | 2,335 |
| 25 | Current trends in Smart City initiatives: Some stylised facts Paolo Neirotti, Alberto De Marco, Anna Corinna Cagliano et al. · Cities | 18 Jan 2014 | 2,313 |
| 26 | A survey of mobile phone sensing Nicholas D. Lane, Emiliano Miluzzo, Hong Lu et al. · IEEE Communications Magazine | Sep 2010 | 2,305 |
| 27 | Smart cities of the future Michael Batty, Kay Werner Axhausen, Fosca Giannotti et al. · The European Physical Journal Special Topics | Nov 2012 | 2,272 |
| 28 | Mobile crowdsensing: current state and future challenges Raghu Ganti, Fan Ye, Hui Lei · IEEE Communications Magazine | Nov 2011 | 2,069 |
| 29 | Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding Jiaxi Tang, Ke Wang | 2 Feb 2018 | 2,015 |
| 30 | Structure and tie strengths in mobile communication networks Jukka‐Pekka Onnela, Jari Saramäki, Jörkki Hyvönen et al. · Proceedings of the National Academy of Sciences | 24 Apr 2007 | 1,978 |
| 31 | Mining interesting locations and travel sequences from GPS trajectories Yu Zheng, Lizhu Zhang, Xing Xie et al. | 20 Apr 2009 | 1,944 |
| 32 | Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities Carlos Moreno, Zaheer Allam, Didier Chabaud et al. · Smart Cities | 8 Jan 2021 | 1,935 |
| 33 | Inferring friendship network structure by using mobile phone data Nathan Eagle, Alex Pentland, David M. J. Lazer · Proceedings of the National Academy of Sciences | 17 Aug 2009 | 1,892 |
| 34 | Data-Driven Intelligent Transportation Systems: A Survey Junping Zhang, Fei–Yue Wang, Kunfeng Wang et al. · IEEE Transactions on Intelligent Transportation Systems | 26 Jul 2011 | 1,823 |
| 35 | A Survey of Context-Aware Mobile Computing Research Guanling Chen, David F. Kotz | Nov 2000 | 1,741 |
| 36 | Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst · arXiv (Cornell University) | 30 Jun 2016 | 1,703 |
| 37 | Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities Bhagya Nathali Silva, Murad Khan, Kijun Han · Sustainable Cities and Society | 20 Feb 2018 | 1,673 |
| 38 | Trajectory Data Mining Yu Zheng · ACM Transactions on Intelligent Systems and Technology | 12 May 2015 | 1,670 |
| 39 | Mobility network models of COVID-19 explain inequities and inform reopening Serina Y. Chang, Emma Pierson, Pang Wei Koh et al. · Nature | 10 Nov 2020 | 1,667 |
| 40 | How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets Muki Haklay · Environment and Planning B Planning and Design | 22 Jul 2010 | 1,663 |
| 41 | Unique in the Crowd: The privacy bounds of human mobility Yves-Alexandre de Montjoye, César A. Hidalgo, Michel Verleysen et al. · Scientific Reports | 25 Mar 2013 | 1,643 |
| 42 | Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting Chao Song, Youfang Lin, Shengnan Guo et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 3 Apr 2020 | 1,590 |
| 43 | Smart sustainable cities of the future: An extensive interdisciplinary literature review Simon Elias Bibri, John Krogstie · Sustainable Cities and Society | 6 Mar 2017 | 1,583 |
| 44 | A universal model for mobility and migration patterns Filippo Simini, Marta Claudia González, Amos Maritan et al. · Nature | 24 Feb 2012 | 1,546 |
| 45 | Physical Place and Cyberplace: The Rise of Personalized Networking Barry Wellman · International Journal of Urban and Regional Research | Jun 2001 | 1,491 |
| 46 | Multiscale mobility networks and the spatial spreading of infectious diseases Duygu Balcan, Vittoria Colizza, Bruno Gonçalves et al. · Proceedings of the National Academy of Sciences | 14 Dec 2009 | 1,471 |
| 47 | Travel-Time Prediction With Support Vector Regression Chih-Hsien Wu, Jan-Ming Ho, Dong-Hyun Lee · IEEE Transactions on Intelligent Transportation Systems | Dec 2004 | 1,455 |
| 48 | Ups and Downs Ruining He, Julian McAuley | 11 Apr 2016 | 1,453 |
| 49 | The Size, Scale, and Shape of Cities Michael Batty · Science | 7 Feb 2008 | 1,438 |
| 50 | Urban Computing Yu Zheng, Licia Capra, Ouri Wolfson et al. · ACM Transactions on Intelligent Systems and Technology | 18 Sep 2014 | 1,370 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.