Marios D. Dikaiakos

Papers

Total Citations

160

H-Index

About

Marios D. Dikaiakos is a leading researcher in web systems and distributed computing, best known for his pioneering work in web robot detection and the characterization of crawler behavior. His key research areas include web mining, internet measurement, and grid computing, with a particular focus on distinguishing automated web crawlers from human users through probabilistic reasoning. Dikaiakos’s most influential contribution is his 2008 paper "Web robot detection: A probabilistic reasoning approach," which has garnered 101 citations and introduced a Bayesian network framework for classifying web server access logs. This work, along with earlier studies like "Crawler Detection: A Bayesian Approach" (21 citations) and "Characterizing Crawler Behavior from Web Server Access Logs" (20 citations), has shaped how researchers analyze web traffic patterns and mitigate crawler-induced biases. His 2007 paper "A Probabilistic Reasoning Approach for Discovering Web Crawler Sessions" further advanced session-level detection methods. Dikaiakos’s impact extends beyond academia, influencing practical web analytics and cybersecurity. His rigorous, data-driven methodologies have made him a respected figure in the field, with his research cited over 160 times collectively, underscoring his role in advancing our understanding of automated web agents.