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Mobile Crowdsensing and Crowdsourcing
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the use of crowdsourcing platforms, particularly Amazon's Mechanical Turk, for research and data collection purposes. It explores topics such as data quality, incentive mechanisms, mobile sensing, truth discovery, and the application of crowdsourcing in behavioral research and participatory sensing.
62
Works
IDs:OpenAlex
How has Mobile Crowdsensing and Crowdsourcing's publication output changed over time?
ScholarIQpublication output · 2010–2022
Output declined67% over the shown period — from 3 works in 2010 to 1 in 2022.
3
1
2
1
3
1
1
2
1
201020122013201420152016201920202022
What are the most-cited papers on Mobile Crowdsensing and Crowdsourcing?
ScholarIQmost cited works
A survey of mobile phone sensing
Nicholas D. Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles, Tanzeem Choudhury, Andrew T. Campbell
S158797327. 20102,297 Citations
Understanding Malicious Behavior in Crowdsourcing Platforms
Ujwal Gadiraju, Ricardo Kawase, Stefan Dietze, Gianluca Demartini
2015226 Citations
The Dynamics of Micro-Task Crowdsourcing
Djellel Difallah, Michele Catasta, Gianluca Demartini, Panagiotis G. Ipeirotis, Philippe Cudré-Mauroux
2015190 Citations
<italic>iCrowd</italic>: Near-Optimal Task Allocation for Piggyback Crowdsensing
Haoyi Xiong, Daqing Zhang, Guanling Chen, Leye Wang, Vincent Gauthier, Laura E. Barnes
S69141925. 2015177 Citations
Where is Mobile Crowdsensing and Crowdsourcing research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Mobile Crowdsensing and Crowdsourcing is open access?
ScholarIQopen access share
33%OPEN ACCESS
Gold
20%
Green
13%
Hybrid
0%
Bronze
0%
Closed
67%
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