On the public citation graph
Estimating Spatial Averages of Environmental Parameters Based on Mobile Crowdsensing
0 signed · 55 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/joc.4210openalex-snapshot
Crowdsourcing for climate and atmospheric sciences: current status and future potential
inferredcites →https://doi.org/10.1007/978-3-642-25591-5_52openalex-snapshot
On Power-Law Distributed Balls in Bins and Its Applications to View Size Estimation
inferredcites →https://doi.org/10.1016/j.aop.2011.04.015openalex-snapshot
Ergodic properties of anomalous diffusion processes
inferredcites →https://doi.org/10.1016/s0169-8095(01)00087-4openalex-snapshot
Temperature cross-section features in an urban area
inferredcites →https://doi.org/10.1016/s0304-4149(97)00114-2openalex-snapshot
Independent sampling of a stochastic process
inferredcites →https://doi.org/10.1016/s1352-2310(02)00898-1openalex-snapshot
Measurements of PM10 and PM2.5 particle concentrations in Athens, Greece
inferredcites →https://doi.org/10.1038/nature06958openalex-snapshot
Understanding individual human mobility patterns
inferredcites →https://doi.org/10.1109/icdcs.2007.6238553openalex-snapshot
Uniform Data Sampling from a Peer-to-Peer Network
inferredcites →https://doi.org/10.1109/icde.2004.1320018openalex-snapshot
Approximate aggregation techniques for sensor databases
inferredcites →https://doi.org/10.1109/infcom.2009.5061995openalex-snapshot
SLAW: A New Mobility Model for Human Walks
inferredcites →https://doi.org/10.1109/mcom.2011.6069707openalex-snapshot
Mobile crowdsensing: current state and future challenges
inferredcites →https://doi.org/10.1109/mcom.2014.6871666openalex-snapshot
Opportunities in mobile crowd sensing
inferredcites →https://doi.org/10.1109/sfcs.2003.1238221openalex-snapshot
Gossip-based computation of aggregate information
inferredcites →https://doi.org/10.1109/softcom.2014.7039132openalex-snapshot
Urban crowd sensing demonstrator: Sense the Zagreb Air
inferredcites →https://doi.org/10.1109/tmc.2006.86openalex-snapshot
Spatial node distribution of the random waypoint mobility model with applications
inferredcites →https://doi.org/10.1109/tnet.2008.2001730openalex-snapshot
On Unbiased Sampling for Unstructured Peer-to-Peer Networks
inferredcites →https://doi.org/10.1109/tnet.2011.2120618openalex-snapshot
On the Levy-Walk Nature of Human Mobility
inferredcites →https://doi.org/10.1109/wons.2013.6578316openalex-snapshot
Investigating the accuracy of mobile urban sensing
inferredcites →https://doi.org/10.1145/1023663.1023669openalex-snapshot
An ad hoc mobility model founded on social network theory
inferredcites →https://doi.org/10.1145/1052199.1052206openalex-snapshot
Approximately uniform random sampling in sensor networks
inferredcites →https://doi.org/10.1145/1146381.1146402openalex-snapshot
Peer counting and sampling in overlay networks
inferredcites →https://doi.org/10.1145/1993744.1993773openalex-snapshot
Walking on a graph with a magnifying glass
inferredcites →https://doi.org/10.1145/972374.972396openalex-snapshot
Coping with irregular spatio-temporal sampling in sensor networks
inferredcites →https://doi.org/10.1214/aoms/1177730978openalex-snapshot
Relative Accuracy of Systematic and Stratified Random Samples for a Certain Class of Populations
inferredcites →https://doi.org/10.7480/spool.2014.2.935openalex-snapshot
Sensing Hotterdam: Crowd sensing the Rotterdam urban heat island
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.6664openalex-snapshot
A blockchain‐based mobile crowdsensing scheme with enhanced privacy
inferred← citeshttps://doi.org/10.1007/978-3-030-65796-3_21openalex-snapshot
A Smart Environment Monitoring Application for Mobile Internet of Things
inferred← citeshttps://doi.org/10.1007/978-981-15-8983-6_41openalex-snapshot
Cloud, Edge, and Mobile Computing for Smart Cities
inferred← citeshttps://doi.org/10.1007/978-981-19-8315-3_4openalex-snapshot
Privacy-Preserving Location-Based Task Allocation
inferred← citeshttps://doi.org/10.1007/978-981-96-4836-8_25openalex-snapshot
Optimizing Task Allocation with Privacy-Preserving Using Fuzzy Inference
inferred← citeshttps://doi.org/10.1007/s00477-025-02972-8openalex-snapshot
The optimal spatial averaging method for random/non-random missing data via super learner and its application to Tara Oceans data
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109456openalex-snapshot
A cooperative detection scheme for malicious nodes based on D-S trust evidence reasoning in mobile crowdsensing networks
inferred← citeshttps://doi.org/10.1016/j.future.2019.02.014openalex-snapshot
Mobile crowdsensing: A survey on privacy-preservation, task management, assignment models, and incentives mechanisms
inferred← citeshttps://doi.org/10.1109/access.2022.3191780openalex-snapshot
Efficient Mobile Crowdsourcing for Environmental Noise Monitoring
inferred← citeshttps://doi.org/10.1109/access.2023.3280828openalex-snapshot
Unbiased Benchmarking in Mobile Networks: The Role of Sampling and Stratification
inferred← citeshttps://doi.org/10.1109/bigdata.2018.8622335openalex-snapshot
Reputation-Aware Data Fusion and Malicious Participant Detection in Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1109/icicgr68236.2026.11600296openalex-snapshot
Truthful Auction Mechanisms for Spatial Crowdsourcing: A Comparative Study of First Price Auction and VCG Mechanism
inferred← citeshttps://doi.org/10.1109/msp.2018.2840156openalex-snapshot
Crowd-Based Learning of Spatial Fields for the Internet of Things: From Harvesting of Data to Inference
inferred← citeshttps://doi.org/10.1109/secon58729.2023.10287493openalex-snapshot
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tcss.2024.3398430openalex-snapshot
Task Partitioning and Scheduling Based on Stochastic Policy Gradient in Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1109/trustcom50675.2020.00265openalex-snapshot
A Privacy-Preserving Crowdsensing System with Muti-blockchain
inferred← citeshttps://doi.org/10.1109/tsp.2020.3011023openalex-snapshot
Bayesian Spatial Field Reconstruction With Unknown Distortions in Sensor Networks
inferred← citeshttps://doi.org/10.1145/3342515openalex-snapshot
Towards Profit Optimization During Online Participant Selection in Compressive Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1145/3397180openalex-snapshot
Quality-aware Online Task Assignment in Mobile Crowdsourcing
inferred← citeshttps://doi.org/10.1145/3409475openalex-snapshot
Incentive Mechanisms for Crowdsensing
inferred← citeshttps://doi.org/10.1145/3447622openalex-snapshot
Price Learning-based Incentive Mechanism for Mobile Crowd Sensing
inferred← citeshttps://doi.org/10.1145/3448891.3448918openalex-snapshot
IAM – Interpolation and Aggregation on the Move: Collaborative Crowdsensing for Spatio-temporal Phenomena
inferred← citeshttps://doi.org/10.1145/3679016openalex-snapshot
Marginal Effect-aware Multiple-Vehicle Scheduling for Road Data Collection: A Near-optimal Result
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.