# Conrad S. Tucker

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/conrad-s-tucker/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,272 |
| Field | Design Education and Practice |
| h-index | 31 |
| i10-index | 75 |
| Last Known Institution | The University of Western Australia |
| OpenAlex ID | https://openalex.org/A5018232256 |
| ORCID iD | 0000-0001-5365-0240 |
| Works | 208 |

## Researcher papers

- [The effects of player type on performance: A gamification case study](https://scholariq.org/papers/the-effects-of-player-type-on-performance-a-gamification-case-study/)
- [An unsupervised machine learning method for discovering patient clusters based on genetic signatures](https://scholariq.org/papers/an-unsupervised-machine-learning-method-for-discovering-patient-clusters-based/)
- [An unsupervised machine learning model for discovering latent infectious diseases using social media data](https://scholariq.org/papers/an-unsupervised-machine-learning-model-for-discovering-latent-infectious/)
- [3D Design Using Generative Adversarial Networks and Physics-Based Validation](https://scholariq.org/papers/3d-design-using-generative-adversarial-networks-and-physics-based-validation/)
- [An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages](https://scholariq.org/papers/an-ensemble-heterogeneous-classification-methodology-for-discovering-health/)
- [Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data](https://scholariq.org/papers/quantifying-product-favorability-and-extracting-notable-product-features-using/)
- [Evaluation of biases in remote photoplethysmography methods](https://scholariq.org/papers/evaluation-of-biases-in-remote-photoplethysmography-methods/)
- [Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors](https://scholariq.org/papers/machine-learning-classification-of-medication-adherence-in-patients-with/)
- [Deepfakes and scientific knowledge dissemination](https://scholariq.org/papers/deepfakes-and-scientific-knowledge-dissemination-2/)
- [Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks](https://scholariq.org/papers/automated-discovery-of-lead-users-and-latent-product-features-by-mining-large/)

## Researcher topics

- [Design Education and Practice](https://scholariq.org/topics/design-education-and-practice/)
- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [Product Development and Customization](https://scholariq.org/topics/product-development-and-customization/)
- [Additive Manufacturing and 3D Printing Technologies](https://scholariq.org/topics/additive-manufacturing-and-3d-printing-technologies/)
- [Complex Network Analysis Techniques](https://scholariq.org/topics/complex-network-analysis-techniques/)

## Researcher university

- [The University of Western Australia](https://scholariq.org/institutions/the-university-of-western-australia/)

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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.