Papers

1

Total Citations

2

H-Index

1

About

Cristiano Mesquita Garcia is a researcher whose work lies at the intersection of data mining, cybersecurity, and web intelligence. His primary research focus is on the detection and analysis of web robots—automated programs that crawl the internet—a critical area for understanding both search engine optimization and malicious bot activity. Garcia’s most notable contribution is his systematic mapping study on data mining techniques applied to web robot detection, which synthesizes and categorizes existing approaches in this rapidly evolving field. This work, published in 2021, has already garnered 2 citations, establishing a foundational reference for other researchers exploring how machine learning and pattern recognition can distinguish between human users and automated agents. Beyond this key paper, Garcia’s research portfolio demonstrates a commitment to applying computational methods to real-world internet challenges, including content indexing and cybersecurity threats. His work is particularly relevant for students and researchers interested in the intersection of data science and web security, offering both a comprehensive overview of current detection methods and a roadmap for future innovations in protecting online ecosystems from malicious automated traffic.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Data Mining applied on Web Robots Detection: A Systematic Mapping
2 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago