Derek Doran

University of Connecticut, Wright State University

Papers

17

Total Citations

311

H-Index

9

About

Derek Doran is a leading researcher in the field of web robot detection and classification, with a career dedicated to understanding and mitigating the impact of automated traffic on web servers. His work addresses the growing challenge posed by web robots—from benign crawlers to malicious bots—which now dominate internet traffic and threaten server security, privacy, and performance. Doran’s major contributions include developing comprehensive frameworks to classify web robots by functionality and resource consumption, as well as pioneering detection techniques that leverage resource request patterns and soft computing methods. His seminal 2010 overview paper, "Web robot detection techniques: overview and limitations," has garnered 95 citations, establishing a foundational reference in the field. He has also advanced real-time and offline detection systems, with his 2017 paper on soft computing approaches earning 42 citations. Notably, Doran’s research extends to predicting request types for Internet of Things (IoT) traffic, reflecting his adaptability to emerging technologies. With over 250 total citations across his most-cited works, Doran’s impact is evident in shaping how researchers and practitioners identify and manage web robot traffic, ensuring safer and more efficient web ecosystems.

Research Focus

Key Achievements

9
H-Index
17
Papers
311
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Web robot detection techniques: overview and limitations
95 citations · 2010
📈 Most Prolific Year: 2012 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Connecticut, Wright State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago