# Gianluca Demartini

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/gianluca-demartini/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,805 |
| Field | Mobile Crowdsensing and Crowdsourcing |
| h-index | 35 |
| i10-index | 102 |
| Last Known Institution | Queensland University of Technology |
| OpenAlex ID | https://openalex.org/A5052565959 |
| ORCID iD | 0000-0002-7311-3693 |
| Works | 273 |

## Researcher papers

- [ZenCrowd](https://scholariq.org/papers/zencrowd/)
- [Understanding Malicious Behavior in Crowdsourcing Platforms](https://scholariq.org/papers/understanding-malicious-behavior-in-crowdsourcing-platforms/)
- [The Dynamics of Micro-Task Crowdsourcing](https://scholariq.org/papers/the-dynamics-of-micro-task-crowdsourcing/)
- [Pick-a-crowd](https://scholariq.org/papers/pick-a-crowd/)
- [Perspectives on Large Language Models for Relevance Judgment](https://scholariq.org/papers/perspectives-on-large-language-models-for-relevance-judgment/)
- [Chapter 4: Using Twitter as a Data Source: An Overview of Ethical, Legal, and Methodological Challenges](https://scholariq.org/papers/chapter-4-using-twitter-as-a-data-source-an-overview-of-ethical-legal-and/)
- [Overview of the INEX 2009 Entity Ranking Track](https://scholariq.org/papers/overview-of-the-inex-2009-entity-ranking-track/)
- [Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data](https://scholariq.org/papers/novel-insights-into-views-towards-h1n1-during-the-2009-pandemic-a-thematic/)
- [Mechanical cheat: Spamming schemes and adversarial techniques on crowdsourcing platforms](https://scholariq.org/papers/mechanical-cheat-spamming-schemes-and-adversarial-techniques-on-crowdsourcing/)
- [Large-scale linked data integration using probabilistic reasoning and crowdsourcing](https://scholariq.org/papers/large-scale-linked-data-integration-using-probabilistic-reasoning-and/)
- [Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection](https://scholariq.org/papers/enhancing-media-literacy-the-effectiveness-of-human-annotations-and-bias/)

## Researcher topics

- [Mobile Crowdsensing and Crowdsourcing](https://scholariq.org/topics/mobile-crowdsensing-and-crowdsourcing/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)
- [Web Data Mining and Analysis](https://scholariq.org/topics/web-data-mining-and-analysis/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)

## Researcher university

- [Queensland University of Technology](https://scholariq.org/institutions/queensland-university-of-technology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.