Nina Tishukova

Papers

Total Citations

H-Index

About

Nina Tishukova is a researcher specializing in web crawling, information retrieval, and web robot detection. Her work focuses on understanding and classifying the behavior of automated web agents—commonly known as web crawlers or scrapers—as they interact with websites. Her most-cited study, "A study of different web-crawler behaviour" (2017, 9 citations), provides a foundational classification of web robots and information-gathering tools, along with methods for their detection. By analyzing a large set of web-server logs, Tishukova experimentally demonstrates the distinct behavioral patterns of well-known scrapers, offering critical insights for web security and server management. Though her citation count is modest, her contributions are highly practical, aiding developers and system administrators in distinguishing benign crawlers from potentially harmful ones. Tishukova’s work sits at the intersection of data mining and cybersecurity, providing a taxonomy that remains relevant for researchers studying automated web traffic. Her research is particularly valuable for those building robust web services and for students exploring the nuances of bot detection and web robot ethics.