Crowdsourcing with Smartphones

By Georgios Chatzimilioudis, Andreas Konstantinidis, C. Laoudias, D. Zeinalipour-Yazti. IEEE Internet Computing, 2012

425 citations recorded by the source corpus.

Subfields: Computer Science Applications, Electrical and Electronic Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/f81ca1c0064ca380ae51768535df07017d91df33

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Carlo Fischione
2. Adriano J. C. Moreira
3. Lauri Wirola
4. C. Laoudias
5. Sunwoo Kim
6. Xiangyang Li
7. Sangwoo Lee

In Electrical and Electronic Engineering

1. Carlo Fischione
2. Adriano J. C. Moreira
3. Lauri Wirola
4. C. Laoudias
5. Sunwoo Kim
6. Xiangyang Li
7. Sangwoo Lee

Citations in the corpus

• How to crowdsource tasks truthfully without sacrificing utility: Online incentive mechanisms with budget constraint (2014, background): “Jaimes et al. [14] further considered the users’ location and a budget constraint.”
• A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, background): “Such solutions leverage on the emerging new paradigm of crowdsourcing and the high availability of smartphone devices featuring multiple sensors [229].”
• Distributed evolutionary algorithms and their models: A survey of the state-of-the-art (2015, background): “Specifically, mobile crowdsourcing [19] is a probable form f deploying dEC on smartphones.”