Kevin Morillo

Papers

Total Citations

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About

Kevin Morillo is a researcher whose work sits at the intersection of web analytics, cybersecurity, and human-computer interaction. His most cited study, “A comparison of web robot and human requests” (2013, 33 citations), provides a foundational framework for distinguishing automated web traffic from genuine human browsing. By systematically analyzing the visiting patterns, request behaviors, and functional characteristics of sophisticated web robots, Morillo revealed that these automated agents constitute a significant portion of server requests—often mimicking human navigation while ignoring irrelevant information. This contribution has proven essential for web administrators, data scientists, and cybersecurity professionals seeking to filter bot traffic, improve server performance, and ensure accurate user analytics. Morillo’s work highlights the growing challenge of distinguishing legitimate human activity from increasingly lifelike automated agents, a problem that has only intensified with the rise of AI-driven crawlers. His research remains a key reference for studies on web robot detection, online fraud prevention, and the integrity of web-based data collection.